Specifications Compared
| Spec | A100 | RTX-5070 |
|---|---|---|
| TDP | 400W | 250W |
| VRAM | 40-80 GB | 12 GB |
| CUDA Cores | 6,912 | 6,144 |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 192 |
| FP16 Performance | 312 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 650 TOPS |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
Performance Analysis
Memory capacity sets the A100 apart: its 80 GB HBM2e VRAM supports massive models and large batch sizes that exceed the RTX 5070's 12 GB GDDR7 limit, preventing out-of-memory errors in training large language models. Bandwidth reinforces this advantage, as the A100's 2039 GB/s enables rapid data movement critical for high-throughput inference, while the RTX 5070's 448 GB/s constrains performance in memory-bound scenarios. In compute, the A100's 312 TFLOPS FP16 vastly outpaces the RTX 5070's 40.6 TFLOPS, accelerating tensor operations in deep learning training; however, the A100's FP32 at 19.5 TFLOPS trails the RTX 5070's balanced 40.6 TFLOPS, suiting the latter for graphics or general-purpose floating-point tasks. This FP16/FP32 delta means the A100 excels in ML-specific half-precision training and inference, whereas the RTX 5070 handles mixed workloads more evenly. Power draw reflects priorities: the A100's 400W TDP demands robust cooling for sustained datacenter runs, compared to the RTX 5070's efficient 250W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB suits large-scale AI training where 80 GB VRAM accommodates models exceeding 12 GB, such as billion-parameter LLMs with large batches. Its 2039 GB/s bandwidth and NVLink interconnect optimize multi-GPU clusters for distributed computing, unavailable on the RTX 5070. High FP16 performance at 312 TFLOPS accelerates tensor core-heavy workloads in research environments.
When to Choose the RTX 5070
The RTX 5070 fits budget-conscious users running smaller models or inference on datasets fitting within 12 GB VRAM, leveraging its low $0.08 per hour starting price. Balanced 40.6 TFLOPS across FP16 and FP32 supports graphics-intensive tasks like gaming or Stable Diffusion generation. Lower 250W TDP enables deployment in cost-effective, power-limited cloud instances.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 handle massive parameter counts and large batches that exceed the RTX 5070's 12 GB limit. Its NVLink support scales multi-GPU training efficiently.
High 2039 GB/s bandwidth on the A100 supports high-throughput serving of large models, outperforming the RTX 5070's 448 GB/s for production workloads. VRAM capacity prevents quantization needs for models over 12 GB.
A100's 80 GB VRAM fits full model checkpoints during fine-tuning of large LLMs, avoiding the RTX 5070's memory constraints. 312 TFLOPS FP16 speeds gradient computations.
RTX 5070's 40.6 TFLOPS FP32 and GDDR7 memory suit image generation pipelines optimized for consumer GPUs. Lower $0.16 per hour average cost benefits frequent, smaller-scale runs.
A100's datacenter features like InfiniBand and 400W TDP sustain long simulations requiring 80 GB VRAM. Superior FP16 performance accelerates HPC kernels.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 80GB or RTX 5070?▾
The A100 SXM4 80GB provides 80 GB HBM2e VRAM, far exceeding the RTX 5070's 12 GB GDDR7. This difference matters for loading large AI models without swapping to system memory. Bandwidth follows suit at 2039 GB/s versus 448 GB/s.
What is the FP16 performance comparison between A100 and RTX 5070?▾
A100 delivers 312 TFLOPS in FP16, dwarfing the RTX 5070's 40.6 TFLOPS. This gap accelerates machine learning training and inference on the A100. FP32 is closer, with A100 at 19.5 TFLOPS and RTX 5070 at 40.6 TFLOPS.
How do cloud prices compare for these GPUs?▾
A100 SXM4 80GB starts at $0.13 per hour, averaging $1.29 per hour across 28 offers. RTX 5070 begins at $0.08 per hour, averaging $0.16 per hour across 2 offers. Cost favors RTX 5070 for light workloads.
Which has higher power consumption?▾
The A100 SXM4 80GB draws 400W TDP, higher than the RTX 5070's 250W. This reflects the A100's datacenter optimization for sustained performance. RTX 5070 suits power-sensitive deployments.
Is the RTX 5070 better for gaming than A100?▾
RTX 5070's Blackwell architecture and balanced 40.6 TFLOPS FP32 excel in gaming, unlike the A100's Ampere focus on compute. PCIe form factor fits consumer setups. A100 lacks gaming driver optimizations.
Can RTX 5070 replace A100 in AI training?▾
RTX 5070 cannot replace A100 for large-scale training due to 12 GB VRAM versus 80 GB and 40.6 TFLOPS FP16 versus 312 TFLOPS. It works for small models under budget constraints. Multi-GPU scaling favors A100's NVLink.
Which is cheaper to rent, the A100 or the RTX 5070?▾
Cloud rental prices for both the A100 and RTX 5070 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the A100 have compared to the RTX 5070?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find A100 and RTX 5070 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the A100 and the RTX 5070?▾
The A100 uses the Ampere architecture (2020) while the RTX 5070 uses Blackwell (2025). The A100 delivers 7.7x the FP16 throughput and 4.6x the memory bandwidth of the RTX 5070.