GPU Comparison
Complete comparison of GPUs available on CLORE.AI for AI workloads.
Find the right GPU for your task at CLORE.AI Marketplace.
Quick Recommendation
Chat with AI (7B)
RTX 3060 12GB
RTX 3090 24GB
RTX 5090 32GB
Chat with AI (70B)
RTX 3090 24GB
RTX 5090 32GB
A100 80GB
Image Generation (SD 1.5)
RTX 3060 12GB
RTX 3090 24GB
RTX 5090 32GB
Image Generation (SDXL)
RTX 3090 24GB
RTX 4090 24GB
RTX 5090 32GB
Image Generation (FLUX)
RTX 3090 24GB
RTX 5090 32GB
A100 80GB
Video Generation
RTX 4090 24GB
RTX 5090 32GB
A100 80GB
Model Training
A100 40GB
A100 80GB
H100 80GB
Consumer GPUs
NVIDIA RTX 3060 12GB
Best for: Budget AI, SD 1.5, small LLMs
VRAM
12GB GDDR6
Memory Bandwidth
360 GB/s
FP16 Performance
12.7 TFLOPS
Tensor Cores
112 (3rd gen)
TDP
170W
~Price/hour
$0.02-0.04
Capabilities:
✅ Ollama with 7B models (Q4)
✅ Stable Diffusion 1.5 (512x512)
✅ SDXL (768x768, slow)
⚠️ FLUX schnell (with CPU offload)
❌ Large models (>13B)
❌ Video generation
NVIDIA RTX 3070/3070 Ti 8GB
Best for: SD 1.5, lightweight tasks
VRAM
8GB GDDR6X
Memory Bandwidth
448-608 GB/s
FP16 Performance
20.3 TFLOPS
Tensor Cores
184 (3rd gen)
TDP
220-290W
~Price/hour
$0.02-0.04
Capabilities:
✅ Ollama with 7B models (Q4)
✅ Stable Diffusion 1.5 (512x512)
⚠️ SDXL (low resolution only)
❌ FLUX (insufficient VRAM)
❌ Models >7B
❌ Video generation
NVIDIA RTX 3080/3080 Ti 10-12GB
Best for: General AI tasks, good balance
VRAM
10-12GB GDDR6X
Memory Bandwidth
760-912 GB/s
FP16 Performance
29.8-34.1 TFLOPS
Tensor Cores
272-320 (3rd gen)
TDP
320-350W
~Price/hour
$0.04-0.06
Capabilities:
✅ Ollama with 13B models
✅ Stable Diffusion 1.5/2.1
✅ SDXL (1024x1024)
⚠️ FLUX schnell (with offload)
❌ Large models (>13B)
❌ Video generation
NVIDIA RTX 3090/3090 Ti 24GB
Best for: SDXL, 13B-30B LLMs, ControlNet
VRAM
24GB GDDR6X
Memory Bandwidth
936 GB/s
FP16 Performance
35.6 TFLOPS
Tensor Cores
328 (3rd gen)
TDP
350-450W
~Price/hour
$0.05-0.08
Capabilities:
✅ Ollama with 30B models
✅ vLLM with 13B models
✅ All Stable Diffusion models
✅ SDXL + ControlNet
✅ FLUX schnell (1024x1024)
⚠️ FLUX dev (with offload)
⚠️ Video (short clips)
NVIDIA RTX 4070 Ti 12GB
Best for: Fast SD 1.5, efficient inference
VRAM
12GB GDDR6X
Memory Bandwidth
504 GB/s
FP16 Performance
40.1 TFLOPS
Tensor Cores
184 (4th gen)
TDP
285W
~Price/hour
$0.04-0.06
Capabilities:
✅ Ollama with 7B models (fast)
✅ Stable Diffusion 1.5 (very fast)
✅ SDXL (768x768)
⚠️ FLUX schnell (limited res)
❌ Large models (>13B)
❌ Video generation
NVIDIA RTX 4080 16GB
Best for: SDXL production, 13B LLMs
VRAM
16GB GDDR6X
Memory Bandwidth
717 GB/s
FP16 Performance
48.7 TFLOPS
Tensor Cores
304 (4th gen)
TDP
320W
~Price/hour
$0.06-0.09
Capabilities:
✅ Ollama with 13B models (fast)
✅ vLLM with 7B models
✅ All Stable Diffusion models
✅ SDXL + ControlNet
✅ FLUX schnell (1024x1024)
⚠️ FLUX dev (limited)
⚠️ Short video clips
NVIDIA RTX 4090 24GB
Best for: High-end consumer performance, FLUX, video
VRAM
24GB GDDR6X
Memory Bandwidth
1008 GB/s
FP16 Performance
82.6 TFLOPS
Tensor Cores
512 (4th gen)
TDP
450W
~Price/hour
$0.08-0.12
Capabilities:
✅ Ollama with 30B models (fast)
✅ vLLM with 13B models
✅ All image generation models
✅ FLUX dev (1024x1024)
✅ Video generation (short)
✅ AnimateDiff
⚠️ 70B models (Q4 only)
NVIDIA RTX 5090 32GB
Best for: Maximum consumer performance, 70B models, high-res video
VRAM
32GB GDDR7
Memory Bandwidth
1792 GB/s
FP16 Performance
~105 TFLOPS
Tensor Cores
680 (5th gen)
TDP
575W
~Price/hour
$0.15-0.20
Capabilities:
✅ Ollama with 70B models (Q4, fast)
✅ vLLM with 30B models
✅ All image generation models
✅ FLUX dev (1536x1536)
✅ Video generation (longer clips)
✅ AnimateDiff + ControlNet
✅ Model training (LoRA, small fine-tunes)
Professional/Datacenter GPUs
NVIDIA A100 40GB
Best for: Production LLMs, training, large models
VRAM
40GB HBM2e
Memory Bandwidth
1555 GB/s
FP16 Performance
77.97 TFLOPS
Tensor Cores
432 (3rd gen)
TDP
400W
~Price/hour
$0.15-0.20
Capabilities:
✅ Ollama with 70B models (Q4)
✅ vLLM production serving
✅ All image generation
✅ FLUX dev (high quality)
✅ Video generation
✅ Model fine-tuning
⚠️ 70B FP16 (tight)
NVIDIA A100 80GB
Best for: 70B+ models, video, production workloads
VRAM
80GB HBM2e
Memory Bandwidth
2039 GB/s
FP16 Performance
77.97 TFLOPS
Tensor Cores
432 (3rd gen)
TDP
400W
~Price/hour
$0.20-0.30
Capabilities:
✅ All LLMs up to 70B (FP16)
✅ vLLM high-throughput serving
✅ All image generation
✅ Long video generation
✅ Model training
✅ DeepSeek-V3 (partial)
⚠️ 100B+ models
NVIDIA H100 80GB
Best for: Maximum performance, largest models
VRAM
80GB HBM3
Memory Bandwidth
3350 GB/s
FP16 Performance
267 TFLOPS
Tensor Cores
528 (4th gen)
TDP
700W
~Price/hour
$0.40-0.60
Capabilities:
✅ All models with maximum speed
✅ 100B+ parameter models
✅ Multi-model serving
✅ Large-scale training
✅ Real-time video generation
✅ DeepSeek-V3 (671B)
Performance Comparisons
LLM Inference (tokens/second)
RTX 3060 12GB
25
-
-
RTX 3090 24GB
45
8*
20*
RTX 4090 24GB
80
15*
35*
RTX 5090 32GB
120
25*
50*
A100 40GB
100
25
45
A100 80GB
110
40
55
H100 80GB
180
70
90
*With quantization (Q4/Q8)
Image Generation Speed
RTX 3060 12GB
4 sec
15 sec
25 sec*
RTX 3090 24GB
2 sec
7 sec
12 sec
RTX 4090 24GB
1 sec
3 sec
5 sec
RTX 5090 32GB
0.7 sec
2 sec
3.5 sec
A100 40GB
1.5 sec
4 sec
6 sec
A100 80GB
1.5 sec
4 sec
5 sec
*With CPU offload, lower resolution
Video Generation (5 sec clip)
RTX 3090 24GB
3 min
5 min*
-
RTX 4090 24GB
1.5 min
3 min
8 min*
RTX 5090 32GB
1 min
2 min
5 min
A100 40GB
1 min
2 min
5 min
A100 80GB
45 sec
1.5 min
3 min
*Limited resolution
Price/Performance Ratio
Best Value by Task
Chat/LLM (7B-13B models):
🥇 RTX 3090 24GB - Best price/performance
🥈 RTX 3060 12GB - Lowest cost
🥉 RTX 4090 24GB - Fastest
Image Generation (SDXL/FLUX):
🥇 RTX 3090 24GB - Great balance
🥈 RTX 4090 24GB - 2x faster
🥉 A100 40GB - Production stability
Large Models (70B+):
🥇 A100 40GB - Best value for 70B
🥈 A100 80GB - Full precision
🥉 RTX 4090 24GB - Budget option (Q4 only)
Video Generation:
🥇 A100 40GB - Good balance
🥈 RTX 4090 24GB - Consumer option
🥉 A100 80GB - Longest clips
Model Training:
🥇 A100 40GB - Standard choice
🥈 A100 80GB - Large models
🥉 RTX 4090 24GB - Small models/LoRA
Multi-GPU Configurations
Some tasks benefit from multiple GPUs:
2x RTX 3090
70B inference
48GB
2x RTX 4090
Fast 70B, training
48GB
2x RTX 5090
70B FP16, fast training
64GB
4x RTX 5090
100B+ models
128GB
4x A100 40GB
100B+ models
160GB
8x A100 80GB
DeepSeek-V3, Llama 405B
640GB
Choosing Your GPU
Decision Flowchart
Tips for Saving Money
Use Spot Orders - 30-50% cheaper than on-demand
Start Small - Test on cheaper GPUs first
Quantize Models - Q4/Q8 fits larger models in less VRAM
Batch Processing - Process multiple requests at once
Off-peak Hours - Better availability and sometimes lower prices
Next Steps
Model Compatibility Matrix - Which models run on which GPUs
Docker Images Catalog - Ready-to-use images
Quickstart Guide - Get started in 5 minutes
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