RTX 3070
nvidia · ampere · 8 GB GDDR6 · 220W TDP
VRAM
8 GB
BF16 TFLOPS
20.4
Bandwidth
448 GB/s
From
$0.09/hr
Spec Sheet
Pricing by Provider
| Provider | On-Demand | Reserved | Spot | Badge |
|---|---|---|---|---|
| tensordock | $0.15/hr | - | $0.09/hr | Cheapest |
| vast_ai | $0.18/hr | - | $0.10/hr |
Compatible Models (199)
Single GPU (75 models)
Multi-GPU (124 models)
Training Capabilities
Estimated GPU count for full fine-tuning (AdamW, BF16) and QLoRA
| Model Size | Full Fine-Tune | QLoRA |
|---|---|---|
| 7B model | 17 GPUs | 1 GPU |
| 13B model | 31 GPUs | 1 GPU |
| 70B model | 165 GPUs | 6 GPUs |
Energy Efficiency
Estimated tokens/second per Watt for popular models
Similar GPUs
Methodology Note
Performance estimates for the RTX 3070are based on InferenceBench's roofline performance model with CUDA kernel-level optimization including FlashAttention v2 and PagedAttention. Memory calculations account for model weights (8 GB GDDR6 available), KV-cache allocation, and activation memory. Throughput predictions use the RTX 3070's rated 448 GB/s memory bandwidth and 20.4 BF16 TFLOPS compute capacity as roofline ceilings, with empirical correction factors per GPU architecture (ampere). See our full methodology.
Frequently Asked Questions
How many AI models can run on RTX 3070?
The RTX 3070 can run 199 AI models from our database within a single node. Compatible models range across various parameter sizes depending on the quantization precision (BF16, FP8, INT4). Smaller models fit on a single GPU while larger models may require multi-GPU setups up to 4x RTX 3070.
What is the RTX 3070 inference throughput?
The RTX 3070 delivers 20.4 BF16 TFLOPS and 20.4 FP8 TFLOPS with 448 GB/s memory bandwidth. Actual inference throughput (tokens/sec) depends on the model size, precision, and batch size. Use our calculator for model-specific throughput estimates.
How much does RTX 3070 cost per hour?
The RTX 3070 is available starting from $0.09/hour via tensordock. Prices vary by provider and pricing tier (on-demand, reserved, spot). Compare pricing across all providers in the table above.