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GPU Comparison

Complete GPU comparison guide for AI workloads on Clore.ai

Complete comparison of GPUs available on CLORE.AI for AI workloads.

Find the right GPU for your task at CLORE.AI Marketplace.

Quick Recommendation

Your Task
Budget Pick
Best Value
Maximum Performance

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

Spec
Value

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

Spec
Value

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

Spec
Value

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

Spec
Value

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

Spec
Value

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

Spec
Value

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

Spec
Value

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 5080 16GB (New — Feb 2025)

Best for: Fast SDXL/FLUX, 13B-30B LLMs, high-performance mid-range

Spec
Value

VRAM

16GB GDDR7

Memory Bandwidth

960 GB/s

FP16 Performance

~80 TFLOPS

Tensor Cores

336 (5th gen)

TDP

360W

~Clore.ai Price/hour

$1.50-2.00

Capabilities:

  • ✅ Ollama with 13B models (fast)

  • ✅ vLLM with 13B models

  • ✅ All Stable Diffusion models

  • ✅ SDXL + ControlNet (very fast)

  • ✅ FLUX schnell/dev (1024x1024)

  • ✅ Short video clips

  • ⚠️ 30B models (Q4 only)

  • ❌ 70B models

NVIDIA RTX 5090 32GB (Flagship — Feb 2025)

Best for: Maximum consumer performance, 70B models, high-res video generation

Spec
Value

VRAM

32GB GDDR7

Memory Bandwidth

1792 GB/s

FP16 Performance

~120 TFLOPS

Tensor Cores

680 (5th gen)

TDP

575W

~Clore.ai Price/hour

$3.00-4.00

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)

  • ✅ DeepSeek-R1 32B distill (FP16)

Professional/Datacenter GPUs

NVIDIA A100 40GB

Best for: Production LLMs, training, large models

Spec
Value

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

Spec
Value

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

Spec
Value

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)

GPU
Llama 3 8B
Llama 3 70B
Mixtral 8x7B
Clore.ai $/hr

RTX 3060 12GB

25

-

-

$0.02-0.04

RTX 3090 24GB

45

8*

20*

$0.15-0.25

RTX 4090 24GB

80

15*

35*

$0.35-0.55

RTX 5080 16GB

95

-

40*

$1.50-2.00

RTX 5090 32GB

150

30*

65*

$3.00-4.00

A100 40GB

100

25

45

$0.80-1.20

A100 80GB

110

40

55

$1.20-1.80

H100 80GB

180

70

90

$2.50-3.50

*With quantization (Q4/Q8)

Image Generation Speed

GPU
SD 1.5 (512)
SDXL (1024)
FLUX schnell
Clore.ai $/hr

RTX 3060 12GB

4 sec

15 sec

25 sec*

$0.02-0.04

RTX 3090 24GB

2 sec

7 sec

12 sec

$0.15-0.25

RTX 4090 24GB

1 sec

3 sec

5 sec

$0.35-0.55

RTX 5080 16GB

0.8 sec

2.5 sec

4 sec

$1.50-2.00

RTX 5090 32GB

0.6 sec

1.8 sec

3 sec

$3.00-4.00

A100 40GB

1.5 sec

4 sec

6 sec

$0.80-1.20

A100 80GB

1.5 sec

4 sec

5 sec

$1.20-1.80

*With CPU offload, lower resolution

Video Generation (5 sec clip)

GPU
SVD
Wan2.1
Hunyuan

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):

  1. 🥇 RTX 3090 24GB - Best price/performance

  2. 🥈 RTX 3060 12GB - Lowest cost

  3. 🥉 RTX 4090 24GB - Fastest

Image Generation (SDXL/FLUX):

  1. 🥇 RTX 3090 24GB - Great balance

  2. 🥈 RTX 4090 24GB - 2x faster

  3. 🥉 A100 40GB - Production stability

Large Models (70B+):

  1. 🥇 A100 40GB - Best value for 70B

  2. 🥈 A100 80GB - Full precision

  3. 🥉 RTX 4090 24GB - Budget option (Q4 only)

Video Generation:

  1. 🥇 A100 40GB - Good balance

  2. 🥈 RTX 4090 24GB - Consumer option

  3. 🥉 A100 80GB - Longest clips

Model Training:

  1. 🥇 A100 40GB - Standard choice

  2. 🥈 A100 80GB - Large models

  3. 🥉 RTX 4090 24GB - Small models/LoRA

Multi-GPU Configurations

Some tasks benefit from multiple GPUs:

Configuration
Use Case
VRAM Total

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

  1. Use Spot Orders - 30-50% cheaper than on-demand

  2. Start Small - Test on cheaper GPUs first

  3. Quantize Models - Q4/Q8 fits larger models in less VRAM

  4. Batch Processing - Process multiple requests at once

  5. Off-peak Hours - Better availability and sometimes lower prices

📚 See also: Top 10 Cheapest GPUs for AI Training in 2025 | Best GPU for AI Training — Detailed Guide

Next Steps

PreviousFAQNextModel Compatibility

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