# Clore.ai

## Clore.ai

- [Overview](https://docs.clore.ai/readme.md)
- [Info](https://docs.clore.ai/main/info.md): Introduction to Clore.ai
- [Tokenomics](https://docs.clore.ai/main/tokenomics.md)
- [Clore VPN](https://docs.clore.ai/main/clore-vpn.md)
- [Clore coin](https://docs.clore.ai/clore-coin.md)
- [Wallet](https://docs.clore.ai/wallet.md)
- [Conclusion](https://docs.clore.ai/conclusion.md)
- [Company](https://docs.clore.ai/quickstart.md)
- [Marketplace Overview](https://docs.clore.ai/for-renters/overview.md): Clore.ai GPU Leasing Product
- [Fee Structure](https://docs.clore.ai/for-renters/fee-structure.md)
- [On-Demand vs Spot](https://docs.clore.ai/for-renters/on-demand-vs-spot.md)
- [How to Connect](https://docs.clore.ai/for-renters/how-to-connect.md)
- [Available Docker Images](https://docs.clore.ai/for-renters/docker-images.md)
- [Order Management](https://docs.clore.ai/for-renters/order-management.md)
- [How to use templates (Mass rent)](https://docs.clore.ai/for-renters/how-to-use-templates-mass-rent.md)
- [Renter Troubleshooting](https://docs.clore.ai/for-renters/renter-troubleshooting.md)
- [Use cases](https://docs.clore.ai/for-renters/use-cases.md)
- [Getting Started](https://docs.clore.ai/for-hosts/installing-clore-hosting.md)
- [Installing on Ubuntu](https://docs.clore.ai/for-hosts/installing-clore-hosting/installing-clore-hosting-ubuntu.md)
- [Installing Software](https://docs.clore.ai/for-hosts/installing-clore-hosting/installing-clore-hosting-software.md)
- [Network Requirements](https://docs.clore.ai/for-hosts/installing-clore-hosting/network-requirements.md)
- [Server Management](https://docs.clore.ai/for-hosts/server-settings.md)
- [How to Price Your Servers](https://docs.clore.ai/for-hosts/server-settings/how-to-price-your-servers-for-rental.md)
- [Server Rating System](https://docs.clore.ai/for-hosts/server-settings/server-rating.md)
- [Telegram bot](https://docs.clore.ai/for-hosts/server-settings/telegram-bot.md)
- [Host Fee Guide](https://docs.clore.ai/for-hosts/host-fees.md)
- [MFP Lock](https://docs.clore.ai/for-hosts/mfp-lock-a-complete-breakdown-of-mechanics.md)
- [Troubleshooting](https://docs.clore.ai/for-hosts/server-offline-on-clore.ai.md)
- [Docker Failure](https://docs.clore.ai/for-hosts/server-offline-on-clore.ai/docker-failure.md)
- [How to Reinstall Drivers](https://docs.clore.ai/for-hosts/server-offline-on-clore.ai/how-to-reinstall-drivers.md)
- [Reinstall While Keeping Token](https://docs.clore.ai/for-hosts/server-offline-on-clore.ai/how-to-reinstall-while-keeping-the-old-token.md)
- [Docker Disk Space Cleanup](https://docs.clore.ai/for-hosts/server-offline-on-clore.ai/docker-disk-space-cleanup.md)
- [Advanced](https://docs.clore.ai/for-hosts/advanced.md)
- [Bare Metal](https://docs.clore.ai/for-hosts/advanced/bare-metal.md)
- [HiveOS Integration](https://docs.clore.ai/for-hosts/advanced/hiveos-integration.md): This section shows how to add a server (rig) to Clore.ai using HiveOS: system preparation, installing Clore Hosting, applying the token, starting a flightsheet
- [Clore Fleet (Mass onboarding)](https://docs.clore.ai/for-hosts/advanced/clore-fleet-mass-onboarding.md): Instruction for Using Clore Fleet
- [Clore Partners](https://docs.clore.ai/for-hosts/advanced/clore-partners-high-volume-rental-system-for-major-clients.md)
- [Banned GPUs](https://docs.clore.ai/for-hosts/list-of-all-banned-gpus.md)
- [API](https://docs.clore.ai/for-hosts/api.md)
- [Overview](https://docs.clore.ai/gigaspot/overview.md): GigaSPOT - Market leading compute power trading system
- [Current Market Specifics](https://docs.clore.ai/gigaspot/current-market-specifics.md)
- [Deploying on GigaSPOT](https://docs.clore.ai/gigaspot/deploying-on-gigaspot.md)
- [Overview](https://docs.clore.ai/proof-of-holding/overview.md)
- [PoH Staking](https://docs.clore.ai/proof-of-holding/poh-staking.md)
- [PoH Marketplace](https://docs.clore.ai/proof-of-holding/poh-marketplace.md)
- [Use cases](https://docs.clore.ai/proof-of-holding/use-cases.md)
- [Team](https://docs.clore.ai/about/team.md)
- [Links](https://docs.clore.ai/about/links.md)
- [FAQ](https://docs.clore.ai/help/faq.md)
- [Glossary](https://docs.clore.ai/help/glossary.md)
- [Support & Contact](https://docs.clore.ai/help/support.md)
- [Python SDK (clore-ai)](https://docs.clore.ai/developers/python-sdk.md)
- [CLI Reference](https://docs.clore.ai/developers/cli-guide.md)
- [CLI & SDK Guide](https://docs.clore.ai/developers/cli-sdk.md)
- [New to Clore?](https://docs.clore.ai/getting-started/deposit-withdrawal.md)
- [Supported Currencies](https://docs.clore.ai/getting-started/deposit-withdrawal/supported-currencies.md)
- [Account Security](https://docs.clore.ai/getting-started/deposit-withdrawal/account-security.md)
- [Referral Program](https://docs.clore.ai/getting-started/deposit-withdrawal/referral-program.md)
- [Changelog](https://docs.clore.ai/changelog.md)
- [CLORE Migration (completed)](https://docs.clore.ai/clore-migration.md)
- [Claim Window (closed)](https://docs.clore.ai/claim-instructions-for-migration.md)
- [Terms of Service](https://docs.clore.ai/legal/terms-of-service.md)
- [Privacy Policy](https://docs.clore.ai/legal/privacy-policy.md)

## Guides

- [Introduction](https://docs.clore.ai/guides/readme.md)
- [Quickstart](https://docs.clore.ai/guides/quickstart.md)
- [Overview](https://docs.clore.ai/guides/getting-started/getting-started.md)
- [Python SDK Quickstart](https://docs.clore.ai/guides/getting-started/python-quickstart.md): Find a GPU, rent it, and SSH in — all from Python or terminal in 5 minutes
- [FAQ](https://docs.clore.ai/guides/getting-started/faq.md): Frequently asked questions about using Clore.ai for AI workloads
- [GPU Comparison](https://docs.clore.ai/guides/getting-started/gpu-comparison.md): Complete GPU comparison guide for AI workloads on Clore.ai
- [Model Compatibility](https://docs.clore.ai/guides/getting-started/model-compatibility.md): AI model and GPU compatibility matrix for Clore.ai
- [Cost Calculator](https://docs.clore.ai/guides/getting-started/cost-calculator.md): Estimate your AI workload costs on Clore.ai
- [Docker Images](https://docs.clore.ai/guides/getting-started/docker-images.md): Ready-to-deploy Docker images for AI workloads on Clore.ai
- [GPU Pricing](https://docs.clore.ai/guides/getting-started/pricing.md): Current GPU rental pricing on Clore.ai marketplace
- [Troubleshooting](https://docs.clore.ai/guides/getting-started/clore-troubleshooting.md): Common issues and solutions for Clore.ai GPU rentals
- [Overview](https://docs.clore.ai/guides/language-models/language-models.md)
- [Ollama](https://docs.clore.ai/guides/language-models/ollama.md): Run LLMs locally with Ollama on Clore.ai GPUs
- [Open WebUI](https://docs.clore.ai/guides/language-models/open-webui.md): ChatGPT-like interface for running LLMs on Clore.ai GPUs
- [vLLM](https://docs.clore.ai/guides/language-models/vllm.md): High-throughput LLM inference with vLLM on Clore.ai GPUs
- [Llama.cpp Server](https://docs.clore.ai/guides/language-models/llamacpp-server.md): Efficient LLM inference with llama.cpp server on Clore.ai GPUs
- [Text Generation WebUI](https://docs.clore.ai/guides/language-models/text-generation-webui.md): Run text-generation-webui for LLM inference on Clore.ai GPUs
- [ExLlamaV2](https://docs.clore.ai/guides/language-models/exllamav2-fast.md): Maximum speed LLM inference with ExLlamaV2 on Clore.ai GPUs
- [LocalAI](https://docs.clore.ai/guides/language-models/localai-openai-compatible.md): Self-hosted OpenAI-compatible API with LocalAI on Clore.ai
- [Llama 3.3 70B](https://docs.clore.ai/guides/language-models/llama33.md): Run Meta's Llama 3.3 70B model on Clore.ai GPUs
- [Mistral & Mixtral](https://docs.clore.ai/guides/language-models/mistral-mixtral.md): Run Mistral and Mixtral models on Clore.ai GPUs
- [DeepSeek Coder](https://docs.clore.ai/guides/language-models/deepseek-coder.md): Best-in-class code generation with DeepSeek Coder on Clore.ai
- [DeepSeek-V3](https://docs.clore.ai/guides/language-models/deepseek-v3.md): Run DeepSeek-V3 with exceptional reasoning on Clore.ai GPUs
- [DeepSeek-R1 Reasoning Model](https://docs.clore.ai/guides/language-models/deepseek-r1.md): Run DeepSeek-R1 open-source reasoning model on Clore.ai GPUs
- [Qwen2.5](https://docs.clore.ai/guides/language-models/qwen25.md): Run Alibaba's Qwen2.5 multilingual LLMs on Clore.ai GPUs
- [CodeLlama](https://docs.clore.ai/guides/language-models/codellama.md): Generate, complete, and explain code with CodeLlama on Clore.ai
- [Gemma 2](https://docs.clore.ai/guides/language-models/gemma2.md): Run Google's Gemma 2 models efficiently on Clore.ai GPUs
- [Phi-4](https://docs.clore.ai/guides/language-models/phi4.md): Run Microsoft's Phi-4 small language model on Clore.ai GPUs
- [Llama 4 (Scout & Maverick)](https://docs.clore.ai/guides/language-models/llama4.md): Run Meta Llama 4 Scout & Maverick MoE models on Clore.ai GPUs
- [Gemma 3](https://docs.clore.ai/guides/language-models/gemma3.md): Run Google Gemma 3 multimodal models on Clore.ai — beats Llama-405B at 15x smaller
- [Mistral Small 3.1](https://docs.clore.ai/guides/language-models/mistral-small.md): Deploy Mistral Small 3.1 (24B) on Clore.ai — the ideal single-GPU production model
- [Qwen3.5](https://docs.clore.ai/guides/language-models/qwen35.md): Run Alibaba Qwen3.5 on Clore.ai — the freshest frontier model (Feb 2026)
- [Qwen3.5-Omni (Multimodal)](https://docs.clore.ai/guides/language-models/qwen35-omni.md)
- [GLM-5](https://docs.clore.ai/guides/language-models/glm5.md): Deploy GLM-5 (744B MoE) by Zhipu AI on Clore.ai — API access and self-hosting with vLLM
- [GLM-4.7-Flash](https://docs.clore.ai/guides/language-models/glm-47-flash.md): Deploy GLM-4.7-Flash (30B MoE) by Zhipu AI on Clore.ai — efficient language model with 59.2% SWE-bench performance
- [Kimi K2.5](https://docs.clore.ai/guides/language-models/kimi-k2.md): Deploy Kimi K2.5 (1T MoE multimodal) by Moonshot AI on Clore.ai GPUs
- [Mistral Large 3 (675B MoE)](https://docs.clore.ai/guides/language-models/mistral-large3.md): Run Mistral Large 3 — a 675B MoE frontier model with 41B active parameters on Clore.ai GPUs
- [MiMo-V2-Flash](https://docs.clore.ai/guides/language-models/mimo-v2-flash.md): Deploy MiMo-V2-Flash (309B MoE) with speculative decoding on Clore.ai — ultra-fast inference with 150+ tok/s
- [Ling-2.5-1T (1 Trillion Parameters)](https://docs.clore.ai/guides/language-models/ling25.md): Run Ling-2.5-1T — Ant Group's 1 trillion parameter open-source LLM with hybrid linear attention on Clore.ai GPUs
- [LFM2-24B-A2B](https://docs.clore.ai/guides/language-models/lfm2-24b.md): Deploy LFM2-24B-A2B by Liquid AI on Clore.ai — hybrid SSM+Attention architecture with 24B total / 2B active parameters
- [DeepSeek V4 (1.6T MoE, Multimodal)](https://docs.clore.ai/guides/language-models/deepseek-v4.md): Deploy DeepSeek V4 (1.6T-param Pro and 284B Flash) on Clore.ai — the open-weight frontier MoE released April 22, 2026
- [GLM-5.1 (744B MoE, #1 SWE-Bench Pro)](https://docs.clore.ai/guides/language-models/glm-5-1.md): Deploy GLM-5.1 (744B MoE, 40B active) by Z.ai on Clore.ai — the open-weight model that topped SWE-Bench Pro in April 2026
- [NVIDIA Nemotron 3 Super (120B MoE)](https://docs.clore.ai/guides/language-models/nvidia-nemotron-3-super.md)
- [Gemini 3.1 Flash Lite](https://docs.clore.ai/guides/language-models/gemini-3-1-flash-lite.md)
- [Hy3 Preview (Tencent Hunyuan 3, 295B MoE)](https://docs.clore.ai/guides/language-models/hy3-preview.md): Deploy Tencent's Hy3 Preview (295B MoE, 21B active, 256K ctx) on Clore.ai — the first model from Tencent Hunyuan's rebuilt training stack, tuned for long-horizon reasoning and agentic coding
- [MiMo-V2.5-Pro (Xiaomi 1T MoE)](https://docs.clore.ai/guides/language-models/mimo-v25-pro.md): Deploy MiMo-V2.5-Pro (1.02T MoE, 42B active, 1M context) by Xiaomi on Clore.ai — the first open-weight Pro tier from the MiMo team, FP8 native, hybrid attention
- [MiniMax M2.7 (229B MoE Coding)](https://docs.clore.ai/guides/language-models/minimax-m27.md): Deploy MiniMax M2.7 (229B MoE) on Clore.ai — the open-weight self-hosted release behind MiniMax's coding agent push, with FP8 single-node deployment on H100/H200
- [Ling-2.6-flash (Ant Group 104B MoE)](https://docs.clore.ai/guides/language-models/ling-26-flash.md): Deploy Ling-2.6-flash (104B MoE, 7.4B active) by Ant Group on Clore.ai — the agent-tuned flash sibling that fits on a single RTX 4090
- [Qwen3.6-27B (Dense, Single-GPU)](https://docs.clore.ai/guides/language-models/qwen36-27b.md): Deploy Qwen3.6-27B by Alibaba on Clore.ai — a dense 27B that fits on one RTX 4090 and ships with 262K native context
- [TGI (Text Generation Inference)](https://docs.clore.ai/guides/language-models/tgi.md): Run HuggingFace Text Generation Inference (TGI) for production LLM serving on Clore.ai GPUs
- [SGLang](https://docs.clore.ai/guides/language-models/sglang.md): Deploy SGLang for high-performance LLM serving with RadixAttention on Clore.ai GPUs
- [Aphrodite Engine](https://docs.clore.ai/guides/language-models/aphrodite-engine.md): Run Aphrodite Engine for LLM inference on legacy and modern GPUs on Clore.ai
- [LiteLLM AI Gateway](https://docs.clore.ai/guides/language-models/litellm.md): Deploy LiteLLM as an AI Gateway proxy for 100+ LLMs on Clore.ai GPUs
- [MLC-LLM](https://docs.clore.ai/guides/language-models/mlc-llm.md)
- [PowerInfer](https://docs.clore.ai/guides/language-models/powerinfer.md)
- [LMDeploy](https://docs.clore.ai/guides/language-models/lmdeploy.md)
- [Mistral.rs](https://docs.clore.ai/guides/language-models/mistral-rs.md)
- [Overview](https://docs.clore.ai/guides/image-generation/image-generation.md)
- [FLUX.1](https://docs.clore.ai/guides/image-generation/flux.md): Run FLUX.1 image generation from Black Forest Labs on Clore.ai
- [Stable Diffusion 3.5](https://docs.clore.ai/guides/image-generation/stable-diffusion-3-5.md): Generate high-fidelity images with accurate text rendering using Stable Diffusion 3.5 on Clore.ai GPUs.
- [Stable Diffusion WebUI](https://docs.clore.ai/guides/image-generation/stable-diffusion-webui.md): Run AUTOMATIC1111 Stable Diffusion WebUI on Clore.ai GPUs
- [ComfyUI](https://docs.clore.ai/guides/image-generation/comfyui.md): Node-based Stable Diffusion interface with ComfyUI on Clore.ai
- [Fooocus](https://docs.clore.ai/guides/image-generation/fooocus-simple-sd.md): Easy Stable Diffusion image generation with Fooocus on Clore.ai
- [PixArt](https://docs.clore.ai/guides/image-generation/pixart-image-gen.md): Fast image generation with PixArt-Alpha and PixArt-Sigma
- [SDXL Turbo & LCM](https://docs.clore.ai/guides/image-generation/sdxl-turbo.md): Generate images in 1-4 steps with SDXL Turbo and LCM on Clore.ai
- [FLUX.2 Klein](https://docs.clore.ai/guides/image-generation/flux2-klein.md): FLUX.2 Klein — sub-second image generation on Clore.ai GPUs
- [HunyuanImage 3.0](https://docs.clore.ai/guides/image-generation/hunyuan-image3.md): Run HunyuanImage 3.0 — Tencent's 80B MoE multimodal image generation and editing model on Clore.ai GPUs
- [InvokeAI](https://docs.clore.ai/guides/image-generation/invokeai.md): Run InvokeAI professional Stable Diffusion toolkit with node-based canvas on Clore.ai GPUs
- [SD WebUI Forge](https://docs.clore.ai/guides/image-generation/sd-webui-forge.md): Deploy Stable Diffusion WebUI Forge with optimized VRAM management and FLUX support on Clore.ai GPUs
- [Overview](https://docs.clore.ai/guides/image-processing/image-processing.md)
- [Real-ESRGAN Upscaling](https://docs.clore.ai/guides/image-processing/real-esrgan-upscaling.md): Upscale and enhance images with Real-ESRGAN on Clore.ai GPUs
- [GFPGAN Face Restore](https://docs.clore.ai/guides/image-processing/gfpgan-face-restore.md): Restore and enhance faces in photos using GFPGAN on Clore.ai
- [ControlNet](https://docs.clore.ai/guides/image-processing/controlnet-advanced.md): Precise control over AI image generation with ControlNet
- [Segment Anything](https://docs.clore.ai/guides/image-processing/segment-anything.md): Precise image segmentation with Meta's SAM on Clore.ai GPUs
- [Depth Anything](https://docs.clore.ai/guides/image-processing/depth-anything.md): Monocular depth estimation with Depth Anything on Clore.ai
- [ICLight](https://docs.clore.ai/guides/image-processing/iclight.md): AI-powered image relighting with IC-Light on Clore.ai GPUs
- [Overview](https://docs.clore.ai/guides/audio-and-voice/audio-voice.md)
- [Whisper Transcription](https://docs.clore.ai/guides/audio-and-voice/whisper-transcription.md): Transcribe audio and video with OpenAI Whisper on Clore.ai GPUs
- [WhisperX with Diarization](https://docs.clore.ai/guides/audio-and-voice/whisperx.md): Run WhisperX for fast speech transcription with word-level timestamps and speaker diarization on Clore.ai GPUs.
- [Bark TTS](https://docs.clore.ai/guides/audio-and-voice/bark-tts.md): Generate realistic speech and audio with Bark AI on Clore.ai
- [XTTS (Coqui)](https://docs.clore.ai/guides/audio-and-voice/xtts-coqui.md): Natural speech generation with voice cloning using Coqui XTTS
- [F5-TTS](https://docs.clore.ai/guides/audio-and-voice/f5-tts.md): Fast and fluent text-to-speech with F5-TTS on Clore.ai GPUs
- [Zonos TTS Voice Cloning](https://docs.clore.ai/guides/audio-and-voice/zonos-tts.md): Run Zonos TTS by Zyphra for voice cloning with emotion and pitch control on Clore.ai GPUs.
- [OpenVoice](https://docs.clore.ai/guides/audio-and-voice/openvoice-clone.md): Clone any voice with seconds of audio using OpenVoice on Clore.ai
- [RVC Voice Clone](https://docs.clore.ai/guides/audio-and-voice/rvc-voice-clone.md): Clone and convert voices with RVC on Clore.ai GPUs
- [Demucs Separation](https://docs.clore.ai/guides/audio-and-voice/demucs-separation.md): Separate music into vocals, drums, bass, and more with Demucs
- [AudioCraft Music](https://docs.clore.ai/guides/audio-and-voice/audiocraft-music.md): Generate music and audio with Meta's AudioCraft on Clore.ai
- [Stable Audio](https://docs.clore.ai/guides/audio-and-voice/stable-audio.md): Generate music and sound effects with Stable Audio on Clore.ai
- [Dia TTS (Nari Labs)](https://docs.clore.ai/guides/audio-and-voice/dia-tts.md): Generate multi-speaker dialog with emotion using Dia TTS by Nari Labs
- [Qwen3-TTS Voice Cloning](https://docs.clore.ai/guides/audio-and-voice/qwen3-tts.md): Multilingual voice cloning and TTS with Qwen3-TTS — 10+ languages, streaming, emotion control
- [Kokoro TTS](https://docs.clore.ai/guides/audio-and-voice/kokoro-tts.md): Run Kokoro TTS — an ultra-lightweight 82M-parameter text-to-speech model on Clore.ai GPUs.
- [ChatTTS Conversational Speech](https://docs.clore.ai/guides/audio-and-voice/chattts.md): Run ChatTTS conversational text-to-speech with fine-grained prosody control on Clore.ai GPUs.
- [Chatterbox Voice Cloning](https://docs.clore.ai/guides/audio-and-voice/chatterbox-tts.md): Run Chatterbox TTS by Resemble AI for zero-shot voice cloning and multilingual speech synthesis on Clore.ai GPUs.
- [Kani-TTS-2 Voice Cloning](https://docs.clore.ai/guides/audio-and-voice/kani-tts.md): Run Kani-TTS-2 — an ultra-efficient 400M parameter text-to-speech model with voice cloning on Clore.ai GPUs
- [MiniMax Speech 2.6](https://docs.clore.ai/guides/audio-and-voice/minimax-speech.md): Deploy MiniMax Speech 2.6 — ultra-low latency voice agent TTS — on Clore.ai GPU servers
- [Fish Speech](https://docs.clore.ai/guides/audio-and-voice/fish-speech.md): Run Fish Speech multilingual TTS and zero-shot voice cloning on Clore.ai GPUs
- [StyleTTS2](https://docs.clore.ai/guides/audio-and-voice/styletss2.md): Run StyleTTS2 human-level text-to-speech via style diffusion on Clore.ai GPUs
- [MeloTTS](https://docs.clore.ai/guides/audio-and-voice/melotts.md): Run MeloTTS high-quality multilingual TTS with fast inference on Clore.ai GPUs
- [Voxtral TTS](https://docs.clore.ai/guides/audio-and-voice/voxtral-tts.md)
- [MOSS-TTS (CPU-only, 100M)](https://docs.clore.ai/guides/audio-and-voice/moss-tts.md): Run MOSS-TTS — ultra-lightweight 100M-parameter CPU-first multilingual text-to-speech from OpenMOSS (MOSI.AI + Fudan NLP) on Clore.ai.
- [Overview](https://docs.clore.ai/guides/video-generation/video-generation.md)
- [Hunyuan Video](https://docs.clore.ai/guides/video-generation/hunyuan-video.md): Generate high-quality videos with Tencent's Hunyuan Video on Clore.ai
- [CogVideoX Video Generation](https://docs.clore.ai/guides/video-generation/cogvideox.md): Generate 6-second videos from text or images with Zhipu AI's CogVideoX diffusion transformer on Clore.ai GPUs.
- [LTX-Video Real-Time Generation](https://docs.clore.ai/guides/video-generation/ltx-video.md): Generate 5-second videos faster than real-time with Lightricks' LTX-Video on Clore.ai GPUs.
- [Stable Video Diffusion](https://docs.clore.ai/guides/video-generation/stable-video-diffusion.md): Generate videos from images with Stable Video Diffusion on Clore.ai
- [AI Video Generation](https://docs.clore.ai/guides/video-generation/ai-video-generation.md): Generate videos with SVD, AnimateDiff, and more on Clore.ai
- [Wan2.1 Video](https://docs.clore.ai/guides/video-generation/wan-video.md): Generate videos with Alibaba's Wan2.1 model on Clore.ai GPUs
- [Wan 2.2 VBVR (Motion Control)](https://docs.clore.ai/guides/video-generation/wan22-vbvr.md)
- [OpenSora](https://docs.clore.ai/guides/video-generation/opensora.md): Generate videos with OpenSora, the open-source Sora alternative
- [FramePack Video Generation](https://docs.clore.ai/guides/video-generation/framepack.md): Generate AI videos with just 6GB VRAM using FramePack on Clore.ai
- [LTX-2 (Audio + Video)](https://docs.clore.ai/guides/video-generation/ltx-video-2.md): Generate videos with native audio — foley, ambience, and lip-sync — using LTX-2 on Clore.ai GPUs.
- [SkyReels-V3](https://docs.clore.ai/guides/video-generation/skyreels.md): Generate 24fps video with SkyReels-V3, Kunlun's Wan2.1-based open video model, on Clore.ai GPUs.
- [AnimateDiff](https://docs.clore.ai/guides/video-generation/animatediff.md)
- [Mochi-1 Video](https://docs.clore.ai/guides/video-generation/mochi-1.md)
- [CubeComposer 4K 360° Video](https://docs.clore.ai/guides/video-generation/cubecomposer-360-video.md)
- [Overview](https://docs.clore.ai/guides/video-processing/video-processing.md)
- [FFmpeg NVENC](https://docs.clore.ai/guides/video-processing/ffmpeg-nvenc.md): GPU-accelerated video encoding with FFmpeg NVENC on Clore.ai
- [RIFE Interpolation](https://docs.clore.ai/guides/video-processing/rife-interpolation.md): Increase video frame rate with RIFE AI interpolation on Clore.ai
- [Overview](https://docs.clore.ai/guides/vision-models/vision-models.md)
- [Llama 3.2 Vision](https://docs.clore.ai/guides/vision-models/llama-vision.md): Run Meta's Llama 3.2 Vision for image understanding on Clore.ai
- [LLaVA](https://docs.clore.ai/guides/vision-models/llava-vision-language.md): Chat with images using LLaVA vision-language model on Clore.ai
- [Qwen2.5-VL Vision Language Model](https://docs.clore.ai/guides/vision-models/qwen-vl.md): Run Qwen2.5-VL, the leading open vision-language model, for image/video/document understanding on Clore.ai GPUs.
- [Florence-2](https://docs.clore.ai/guides/vision-models/florence2.md): Microsoft Florence-2 for captioning, detection, and segmentation
- [SAM2 Video](https://docs.clore.ai/guides/vision-models/sam2-video.md): Track and segment objects in video with Meta's SAM2 on Clore.ai
- [GroundingDINO](https://docs.clore.ai/guides/vision-models/groundingdino.md): Detect any object using text descriptions with GroundingDINO
- [Overview](https://docs.clore.ai/guides/face-and-identity/face-identity.md)
- [FaceFusion](https://docs.clore.ai/guides/face-and-identity/facefusion.md): Professional face swapping and enhancement on Clore.ai GPUs
- [InstantID](https://docs.clore.ai/guides/face-and-identity/instantid.md): Generate images with any face identity from one reference photo
- [IP-Adapter](https://docs.clore.ai/guides/face-and-identity/ip-adapter.md): Use images as prompts for Stable Diffusion with IP-Adapter
- [Overview](https://docs.clore.ai/guides/talking-heads/talking-heads.md)
- [LivePortrait](https://docs.clore.ai/guides/talking-heads/liveportrait.md): Create realistic animated portraits from single images on Clore.ai
- [SadTalker](https://docs.clore.ai/guides/talking-heads/sadtalker.md): Create talking head videos from audio and images on Clore.ai
- [Wav2Lip](https://docs.clore.ai/guides/talking-heads/wav2lip.md): Accurate lip sync to any audio with Wav2Lip on Clore.ai GPUs
- [Overview](https://docs.clore.ai/guides/training/training.md)
- [Jupyter ML Training](https://docs.clore.ai/guides/training/jupyter-ml-training.md): Set up JupyterLab with GPU support for ML training on Clore.ai
- [DreamBooth](https://docs.clore.ai/guides/training/dreambooth.md): Train custom image models with DreamBooth on Clore.ai GPUs
- [Kohya Training](https://docs.clore.ai/guides/training/kohya-training.md): Train LoRA and DreamBooth for Stable Diffusion with Kohya on Clore.ai
- [Fine-tune LLM](https://docs.clore.ai/guides/training/finetune-llm.md): Fine-tune custom LLMs with efficient techniques on Clore.ai GPUs
- [Unsloth 2x Faster Fine-tuning](https://docs.clore.ai/guides/training/unsloth-finetune.md): Fine-tune LLMs 2x faster with 70% less VRAM using Unsloth on Clore.ai
- [Axolotl Universal Fine-tuning](https://docs.clore.ai/guides/training/axolotl-training.md): YAML-driven LLM fine-tuning with Axolotl on Clore.ai — LoRA, QLoRA, DPO, multi-GPU
- [DeepSpeed Training](https://docs.clore.ai/guides/training/deepspeed-training.md): Train large models efficiently with DeepSpeed on Clore.ai GPUs
- [HuggingFace Transformers](https://docs.clore.ai/guides/training/huggingface-transformers.md): Use HuggingFace Transformers for NLP, vision, and audio on Clore.ai
- [LLaMA-Factory](https://docs.clore.ai/guides/training/llama-factory.md): Fine-tune 100+ LLMs with LoRA/QLoRA and a web UI on Clore.ai GPUs using LLaMA-Factory
- [LitGPT](https://docs.clore.ai/guides/training/litgpt.md)
- [Mergekit Model Merging](https://docs.clore.ai/guides/training/mergekit.md)
- [TRL (RLHF/DPO Training)](https://docs.clore.ai/guides/training/trl.md)
- [Overview](https://docs.clore.ai/guides/computer-vision/computer-vision.md)
- [YOLOv8 Detection](https://docs.clore.ai/guides/computer-vision/yolov8-detection.md): Real-time object detection with YOLOv8 and YOLOv11 on Clore.ai
- [YOLOv9/v10 Detection](https://docs.clore.ai/guides/computer-vision/yolov9-v10.md)
- [Overview](https://docs.clore.ai/guides/3d-generation/3d-generation.md)
- [TripoSR](https://docs.clore.ai/guides/3d-generation/triposr.md): Generate 3D models from single images with TripoSR on Clore.ai
- [TRELLIS 3D Generation](https://docs.clore.ai/guides/3d-generation/trellis-3d.md): Convert images to 3D meshes and Gaussian splats with Microsoft TRELLIS on Clore.ai
- [Hunyuan3D 2.1](https://docs.clore.ai/guides/3d-generation/hunyuan3d.md): Generate 3D meshes from text or images with Tencent Hunyuan3D 2.1 on Clore.ai
- [Hunyuan World 2.0 (3D World Model)](https://docs.clore.ai/guides/3d-generation/hunyuan-world-2.md): Deploy Tencent HY-World 2.0 — the first open-source SOTA 3D world model — on Clore.ai GPUs for text/image/video-to-3D scene generation
- [Nerfstudio](https://docs.clore.ai/guides/3d-generation/nerfstudio.md)
- [3D Gaussian Splatting](https://docs.clore.ai/guides/3d-generation/gaussian-splatting.md)
- [Overview](https://docs.clore.ai/guides/comparisons/comparisons.md)
- [LLM Serving: Ollama vs vLLM vs TGI](https://docs.clore.ai/guides/comparisons/llm-serving-comparison.md): Compare vLLM vs SGLang vs Ollama vs TGI vs LocalAI for LLM serving
- [Image Gen: ComfyUI vs SD WebUI vs Fooocus](https://docs.clore.ai/guides/comparisons/image-gen-ui-comparison.md): Compare ComfyUI vs SD WebUI vs Fooocus for image generation
- [RAG Frameworks Comparison](https://docs.clore.ai/guides/comparisons/rag-frameworks-comparison.md)
- [Vector Database Comparison](https://docs.clore.ai/guides/comparisons/vector-db-comparison.md)
- [Fine-tuning Tools Comparison](https://docs.clore.ai/guides/comparisons/finetuning-comparison.md)
- [Video Generation Comparison](https://docs.clore.ai/guides/comparisons/video-gen-comparison.md)
- [TTS Engine Comparison](https://docs.clore.ai/guides/comparisons/tts-comparison.md)
- [Overview](https://docs.clore.ai/guides/music-generation/music-generation.md): AI music generation on Clore.ai GPU marketplace
- [ACE-Step Music Generation](https://docs.clore.ai/guides/music-generation/ace-step.md): Generate full songs with vocals using ACE-Step — open-source Suno alternative on <4GB VRAM
- [Overview](https://docs.clore.ai/guides/ai-platforms-and-agents/ai-platforms.md): Deploy AI agent platforms, assistants, and workflow builders on Clore.ai GPU servers — from autonomous coding agents to visual AI workflow builders.
- [Dify.ai Workflow Platform](https://docs.clore.ai/guides/ai-platforms-and-agents/dify.md): Deploy Dify.ai on Clore.ai — build production-ready AI workflows, RAG pipelines, and agent applications with a visual interface at GPU cloud prices.
- [n8n AI Workflows](https://docs.clore.ai/guides/ai-platforms-and-agents/n8n.md): Deploy n8n on Clore.ai — self-host a powerful AI workflow automation platform with 400+ integrations and native LLM agent support for pennies per hour.
- [AutoGPT Autonomous Agent](https://docs.clore.ai/guides/ai-platforms-and-agents/autogpt.md): Deploy AutoGPT on Clore.ai — run the original autonomous AI agent platform with web browsing, code execution, and long-horizon task automation.
- [CrewAI Multi-Agent Framework](https://docs.clore.ai/guides/ai-platforms-and-agents/crewai.md): Deploy CrewAI on Clore.ai — orchestrate teams of role-playing autonomous AI agents for complex multi-step tasks using any LLM provider.
- [OpenHands AI Developer](https://docs.clore.ai/guides/ai-platforms-and-agents/openhands.md): Deploy OpenHands (formerly OpenDevin) on Clore.ai — run a fully autonomous AI software engineer on affordable GPU cloud servers for coding, debugging, and GitHub issue resolution.
- [Langflow Visual AI Builder](https://docs.clore.ai/guides/ai-platforms-and-agents/langflow.md): Deploy Langflow on Clore.ai — build and run visual AI pipelines, RAG systems, and multi-agent workflows on affordable GPU cloud infrastructure with a drag-and-drop no-code interface.
- [Flowise AI Agent Builder](https://docs.clore.ai/guides/ai-platforms-and-agents/flowise.md): Deploy Flowise on Clore.ai — build and host visual LLM chatbots, AI agents, and RAG pipelines on affordable GPU cloud servers with a drag-and-drop no-code interface and instant API endpoints.
- [MetaGPT Software Company](https://docs.clore.ai/guides/ai-platforms-and-agents/metagpt.md): Deploy MetaGPT on Clore.ai — run a fully autonomous multi-agent AI software company on affordable GPU cloud servers to generate complete codebases, PRDs, architecture designs, and QA tests from a sing
- [SuperAGI Agent Framework](https://docs.clore.ai/guides/ai-platforms-and-agents/superagi.md): Deploy SuperAGI on Clore.ai — a developer-first autonomous AI agent framework with GUI dashboard, tool marketplace, concurrent agents, and optional local LLM support on powerful GPU cloud servers.
- [LobeChat AI Assistant](https://docs.clore.ai/guides/ai-platforms-and-agents/lobechat.md): Deploy LobeChat on Clore.ai — a stunning, feature-rich AI chat interface with multi-provider support, knowledge base, and plugins running on affordable GPU-backed cloud servers.
- [LibreChat Multi-Provider](https://docs.clore.ai/guides/ai-platforms-and-agents/librechat.md): Deploy LibreChat on Clore.ai — a powerful, self-hosted ChatGPT alternative with multi-provider AI support, conversation branching, and plugin ecosystem on affordable GPU cloud infrastructure.
- [AnythingLLM RAG Platform](https://docs.clore.ai/guides/ai-platforms-and-agents/anythingllm.md): Deploy AnythingLLM on Clore.ai — an all-in-one RAG application and AI agent platform with built-in document chat, no-code agent builder, and MCP support running on cost-effective GPU cloud servers.
- [Jan.ai Offline Assistant](https://docs.clore.ai/guides/ai-platforms-and-agents/jan.md): Deploy Jan.ai Server on Clore.ai — a fully offline, OpenAI-compatible LLM server with model hub, conversation management, and GPU-accelerated inference powered by the Cortex engine.
- [GPT4All Local LLM](https://docs.clore.ai/guides/ai-platforms-and-agents/gpt4all.md): Deploy GPT4All on Clore.ai — run privacy-first local LLMs with an OpenAI-compatible API server using Docker, supporting GGUF models with optional CUDA acceleration for maximum performance.
- [SWE-agent Code Fixer](https://docs.clore.ai/guides/ai-platforms-and-agents/swe-agent.md): Deploy SWE-agent on Clore.ai — automate GitHub issue resolution and software engineering tasks using AI agents with Docker sandboxing, supporting Claude, GPT-4, and open-source LLMs.
- [Haystack AI Framework](https://docs.clore.ai/guides/ai-platforms-and-agents/haystack.md): Deploy Haystack by deepset on Clore.ai — build production RAG pipelines, semantic search, and LLM agent workflows on affordable GPU infrastructure.
- [Continue.dev AI Coding](https://docs.clore.ai/guides/ai-platforms-and-agents/continue-dev.md): Power Continue.dev with Clore.ai GPUs — run CodeLlama 34B, DeepSeek Coder, and Qwen2.5-Coder locally on cheap GPU rentals for private AI coding assistance.
- [Open Interpreter](https://docs.clore.ai/guides/ai-platforms-and-agents/open-interpreter.md)
- [Overview](https://docs.clore.ai/guides/ai-coding-tools/ai-coding.md): Self-hosted AI coding tools on Clore.ai GPUs
- [Aider AI Coding](https://docs.clore.ai/guides/ai-coding-tools/aider.md): Terminal-based AI coding with Aider on Clore.ai — Git-aware, multi-file, local models via Ollama
- [TabbyML Code Completion](https://docs.clore.ai/guides/ai-coding-tools/tabby.md): Self-host TabbyML as a private GitHub Copilot alternative on Clore.ai
- [Overview](https://docs.clore.ai/guides/advanced/advanced.md)
- [Python SDK Guide](https://docs.clore.ai/guides/advanced/python-sdk.md): Complete Python SDK guide — sync/async clients, marketplace filtering, order lifecycle, spot market, wallet ops, and error handling
- [CLI Automation](https://docs.clore.ai/guides/advanced/cli-automation.md): Automate GPU rentals with the clore CLI — bash scripts, CI/CD pipelines, monitoring, and batch operations
- [Multi-GPU Setup](https://docs.clore.ai/guides/advanced/multi-gpu-setup.md): Run large AI models across multiple GPUs on Clore.ai
- [API Integration](https://docs.clore.ai/guides/advanced/api-integration.md): Integrate AI models running on Clore.ai into your applications
- [Batch Processing](https://docs.clore.ai/guides/advanced/batch-processing.md): Process large AI workloads efficiently on Clore.ai GPUs
- [Overview](https://docs.clore.ai/guides/other-workloads/other-workloads.md)
- [Blender Rendering](https://docs.clore.ai/guides/other-workloads/blender-rendering.md): GPU-accelerated Blender 3D rendering on Clore.ai
- [Kandinsky](https://docs.clore.ai/guides/other-workloads/kandinsky.md): Generate images with Kandinsky's multilingual model on Clore.ai
- [OpenClaw on Clore](https://docs.clore.ai/guides/other-workloads/openclaw-on-clore.md): Deploy OpenClaw AI assistant on a Clore.ai GPU server — always-on, GPU-accelerated, with Telegram/Discord integration, local LLM inference, and voice capabilities.
- [Overview](https://docs.clore.ai/guides/rag-and-vector-databases/rag-vectordb.md): RAG & Vector Database guides for Clore.ai GPU cloud
- [RAGFlow](https://docs.clore.ai/guides/rag-and-vector-databases/ragflow.md): Deploy RAGFlow deep document understanding RAG engine on Clore.ai GPUs
- [LlamaIndex](https://docs.clore.ai/guides/rag-and-vector-databases/llamaindex.md): Build LlamaIndex data-to-LLM pipelines and RAG applications on Clore.ai GPUs
- [ChromaDB](https://docs.clore.ai/guides/rag-and-vector-databases/chromadb.md): Deploy ChromaDB open-source vector database for AI applications on Clore.ai GPUs
- [Qdrant](https://docs.clore.ai/guides/rag-and-vector-databases/qdrant.md)
- [Milvus](https://docs.clore.ai/guides/rag-and-vector-databases/milvus.md)
- [Weaviate](https://docs.clore.ai/guides/rag-and-vector-databases/weaviate.md)
- [Overview](https://docs.clore.ai/guides/mlops-and-deployment/mlops.md): MLOps guides for Clore.ai GPU cloud
- [MLflow](https://docs.clore.ai/guides/mlops-and-deployment/mlflow.md)
- [Triton Inference Server](https://docs.clore.ai/guides/mlops-and-deployment/triton-inference-server.md)
- [BentoML](https://docs.clore.ai/guides/mlops-and-deployment/bentoml.md)
- [ClearML](https://docs.clore.ai/guides/mlops-and-deployment/clearml.md)
- [Overview](https://docs.clore.ai/guides/science-and-research/science.md): Scientific Computing guides for Clore.ai GPU cloud
- [AlphaFold2 Protein Prediction](https://docs.clore.ai/guides/science-and-research/alphafold2.md)
- [ESMFold Protein Structure](https://docs.clore.ai/guides/science-and-research/esmfold.md)
- [GROMACS Molecular Dynamics](https://docs.clore.ai/guides/science-and-research/gromacs.md)
- [Overview](https://docs.clore.ai/guides/gpu-devops/devops-gpu.md): Devops Gpu guides for Clore.ai GPU cloud
- [TensorRT-LLM](https://docs.clore.ai/guides/gpu-devops/tensorrt-llm.md)
- [ONNX Runtime GPU](https://docs.clore.ai/guides/gpu-devops/onnx-runtime.md)
- [Overview](https://docs.clore.ai/guides/crypto-and-mining/crypto-mining.md): Crypto Mining guides for Clore.ai GPU cloud
- [XMRig Mining](https://docs.clore.ai/guides/crypto-and-mining/xmrig.md)
- [Overview](https://docs.clore.ai/guides/gaming-and-streaming/gaming-streaming.md): Gaming Streaming guides for Clore.ai GPU cloud
- [Sunshine + Moonlight Remote Gaming](https://docs.clore.ai/guides/gaming-and-streaming/sunshine-moonlight.md)

## Developers

- [Introduction](https://docs.clore.ai/dev/readme.md)
- [Quick Start: Rent Your First GPU](https://docs.clore.ai/dev/getting-started/quick-start.md)
- [Setting Up Your Development Environment](https://docs.clore.ai/dev/getting-started/dev-environment.md)
- [Automating GPU Rental with Python](https://docs.clore.ai/dev/getting-started/automation-basics.md)
- [Python SDK Quick Start](https://docs.clore.ai/dev/getting-started/python-sdk-quickstart.md)
- [Understanding Spot vs On-Demand](https://docs.clore.ai/dev/getting-started/spot-vs-ondemand.md)
- [Training a PyTorch Model on Clore](https://docs.clore.ai/dev/machine-learning-and-training/pytorch-basics.md)
- [Distributed Training Across Multiple Servers](https://docs.clore.ai/dev/machine-learning-and-training/distributed-training.md)
- [Fine-Tuning Models with Hugging Face](https://docs.clore.ai/dev/machine-learning-and-training/huggingface-finetuning.md)
- [Hyperparameter Sweeps with Optuna](https://docs.clore.ai/dev/machine-learning-and-training/hyperparameter-sweeps.md)
- [Auto-Scaling ML Training Pipeline](https://docs.clore.ai/dev/machine-learning-and-training/auto-scaling-pipeline.md)
- [Training YOLO Object Detection Models](https://docs.clore.ai/dev/machine-learning-and-training/yolo-training.md)
- [Reinforcement Learning on Cloud GPUs](https://docs.clore.ai/dev/machine-learning-and-training/reinforcement-learning.md)
- [Model Training Scheduler (Auto-Rent on Price Drop)](https://docs.clore.ai/dev/machine-learning-and-training/training-scheduler.md)
- [Deploying a REST API for Model Inference](https://docs.clore.ai/dev/inference-and-deployment/rest-api-deployment.md)
- [Building Inference-as-a-Service with FastAPI](https://docs.clore.ai/dev/inference-and-deployment/fastapi-inference.md)
- [Batch Inference at Scale: Processing 1M Images](https://docs.clore.ai/dev/inference-and-deployment/batch-inference.md)
- [Real-Time Video Processing Pipeline](https://docs.clore.ai/dev/inference-and-deployment/video-processing.md)
- [Multi-Model Inference Router](https://docs.clore.ai/dev/inference-and-deployment/model-router.md)
- [Auto-Scaling Inference Workers](https://docs.clore.ai/dev/inference-and-deployment/auto-scaling-workers.md)
- [GPU-Accelerated Data Processing with RAPIDS](https://docs.clore.ai/dev/data-processing-and-pipelines/rapids-processing.md)
- [Video Transcoding Pipeline](https://docs.clore.ai/dev/data-processing-and-pipelines/video-transcoding.md)
- [Building a Distributed Rendering Farm](https://docs.clore.ai/dev/data-processing-and-pipelines/rendering-farm.md)
- [Large-Scale Image Processing](https://docs.clore.ai/dev/data-processing-and-pipelines/image-processing.md)
- [ETL Pipeline with GPU Acceleration](https://docs.clore.ai/dev/data-processing-and-pipelines/gpu-etl.md)
- [CI/CD Pipeline with GPU Testing](https://docs.clore.ai/dev/devops-and-automation/cicd-gpu-testing.md)
- [Building a GPU Job Scheduler](https://docs.clore.ai/dev/devops-and-automation/job-scheduler.md)
- [Monitoring with Prometheus + Grafana](https://docs.clore.ai/dev/devops-and-automation/prometheus-monitoring.md)
- [Auto-Provisioning from GitHub Actions](https://docs.clore.ai/dev/devops-and-automation/github-actions.md)
- [Spot Instance Manager (Auto-Rebid)](https://docs.clore.ai/dev/devops-and-automation/spot-manager.md)
- [Cost Optimization: Smart Bidding Strategies](https://docs.clore.ai/dev/devops-and-automation/cost-optimization.md)
- [CI/CD with clore-ai SDK](https://docs.clore.ai/dev/devops-and-automation/cicd-clore-sdk.md)
- [Crypto Mining Profit Calculator](https://docs.clore.ai/dev/advanced-use-cases/mining-calculator.md)
- [Telegram Bot for GPU Management](https://docs.clore.ai/dev/advanced-use-cases/telegram-bot.md)
- [Price Tracking Dashboard (React)](https://docs.clore.ai/dev/advanced-use-cases/price-dashboard.md)
- [Multi-Cloud GPU Orchestrator](https://docs.clore.ai/dev/advanced-use-cases/multi-cloud.md)
- [Webhook-Based Order Management](https://docs.clore.ai/dev/advanced-use-cases/webhook-orders.md)
- [Using the Official clore-ai SDK](https://docs.clore.ai/dev/advanced-use-cases/python-sdk.md)
- [SDK Automation Recipes](https://docs.clore.ai/dev/advanced-use-cases/sdk-automation-recipes.md)
- [Python SDK (clore-ai)](https://docs.clore.ai/dev/reference/python-sdk.md)
- [Clore API Client Reference](https://docs.clore.ai/dev/reference/clore-client.md)
- [API Quick Reference](https://docs.clore.ai/dev/reference/api-reference.md)
- [Common Error Codes](https://docs.clore.ai/dev/reference/error-codes.md)
- [Docker Images Reference](https://docs.clore.ai/dev/reference/docker-images.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on a page URL with the `ask` query parameter:

```
GET https://docs.clore.ai/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.