RTX 3070 GPU
The RTX 3070 offers RTX 2080 Ti-level performance for 1440p gaming at a lower price point.
Cloud Pricing
Cheapest on Salad Cloud — 47% below avg| Provider | GPUs | Price / hr | Updated | Source |
|---|---|---|---|---|
| 1× GPU | $0.04 | 4/8/2026 | ||
| 1× GPU | $0.04 | 4/7/2026 | ||
| 1× GPU | $0.07 | 4/8/2026 | ||
| 1× GPU | $0.09 | 4/4/2026 | ||
| 1× GPU | $0.13 | 4/8/2026 |
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 8 GB GDDR6 memory provides sufficient capacity for many AI inference and graphics workloads
- 184 Tensor Cores enable hardware acceleration for machine learning inference
- 448 GB/s memory bandwidth supports data-intensive applications
- 2nd generation RT cores provide hardware ray tracing acceleration
- 220W TDP offers reasonable power efficiency for cloud deployments
- DLSS support enables AI-enhanced rendering performance
- PCIe 4.0 interface provides high-bandwidth system connectivity
- 220W power draw requires adequate cooling and power infrastructure
- Consumer-focused design lacks enterprise features like ECC memory
- 8 GB VRAM may be insufficient for large language models or high-resolution training
- Limited to single-precision compute performance compared to data center GPUs
- Older Ampere architecture superseded by newer generations for latest features
Key Features
About RTX 3070
Common Use Cases
The RTX 3070 serves cloud deployments requiring moderate GPU compute power, including AI inference for computer vision models, real-time ray tracing applications, and graphics rendering workloads. Its 8 GB VRAM capacity and Tensor Core acceleration make it suitable for deploying pre-trained neural networks, particularly in scenarios where the latest data center GPUs would be excessive. The GPU handles game streaming services, 3D rendering tasks, and development environments where users need graphics acceleration without enterprise-grade specifications.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 5,888
- Tensor Cores
- 184
- RT Cores
- 46
- TDP
- 220W
Memory & Performance
- VRAM
- 8GB
- Memory Interface
- 256-bit
- Memory Bandwidth
- 448 GB/s
- FP32
- 20.31 TFLOPS
- Release
- 2020
Frequently Asked Questions
How much does an RTX 3070 cost per hour in the cloud?
RTX 3070 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 3070 best used for?
The RTX 3070 excels at AI inference workloads, graphics rendering, and applications requiring moderate GPU compute power. Its 184 Tensor Cores and 8 GB VRAM make it suitable for computer vision models, real-time ray tracing, and development scenarios where full data center GPU capabilities are unnecessary.
How does the RTX 3070 compare to data center GPUs for AI workloads?
The RTX 3070 offers 184 Tensor Cores and 20.31 TFLOPS of FP32 performance, making it capable for inference tasks but limited compared to dedicated data center GPUs. It lacks features like multi-instance GPU support, ECC memory, and the higher memory capacities found in enterprise hardware, positioning it for lighter AI workloads and development use cases.