Specifications Compared
| Spec | A100 | RTX-3070 |
|---|---|---|
| TDP | 400W | 220W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 5,888 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 184 |
| FP16 Performance | 312 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
Performance Analysis
The A100 SXM4 40GB excels in FP16 performance at 312 TFLOPS, enabling faster deep learning training compared to the RTX 3070 Ti's 20.3 TFLOPS: this 15x advantage accelerates matrix multiplications central to neural networks. FP32 rates show parity near 20 TFLOPS, but the A100's tensor core optimizations favor mixed-precision training common in large models. Inference benefits similarly from high FP16 throughput, reducing latency for production deployments.
Memory bandwidth of 2039 GB/s on the A100 supports larger batch sizes without bottlenecks, vital for stable gradient accumulation in training: the RTX 3070 Ti's 448 GB/s limits it to smaller batches prone to underutilization. The A100's 40 GB HBM2e VRAM handles models exceeding 8 GB GDDR6 on the RTX 3070 Ti, preventing out-of-memory errors in tasks like LLM fine-tuning. Interconnects such as NVLink and PCIe 4.0 on the A100 enable efficient multi-GPU scaling, absent on the consumer RTX 3070 Ti.
Power efficiency tilts toward the RTX 3070 Ti at 220W TDP versus 400W, suiting low-cost, single-instance inference where raw speed matters less than operational expenses.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
When to Choose the A100 SXM4 40GB
The A100 SXM4 40GB suits large-scale AI training requiring 40 GB VRAM and 2039 GB/s bandwidth to process models like billion-parameter LLMs without fragmentation. Its 312 TFLOPS FP16 performance delivers rapid iterations in distributed setups via NVLink and InfiniBand. Cloud users prioritizing throughput over cost select it for production HPC workloads across 5 live offers averaging $2.63/hr.
Enterprise teams choose the A100 for inference on memory-intensive graphs, where 15x FP16 superiority ensures low latency at scale.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti fits budget-conscious prototyping with 8 GB GDDR6 VRAM sufficient for models under 7 GB and 20.3 TFLOPS FP16 for quick tests. At $0.06/hr from 2 offers averaging $0.08/hr, it maximizes performance per dollar for solo developers. Its 220W TDP supports dense cloud deployments without high power overhead.
Gaming-adjacent tasks or lightweight inference favor the RTX 3070 Ti, leveraging PCIe form factor for versatile, low-cost access.
Use Cases
The A100's 40 GB VRAM and 312 TFLOPS FP16 handle billion-parameter models with large batches, unlike the RTX 3070 Ti's 8 GB limit. Bandwidth at 2039 GB/s prevents data starvation in extended runs.
High FP16 throughput of 312 TFLOPS on the A100 supports low-latency serving of large LLMs requiring 40 GB VRAM. RTX 3070 Ti suits only sub-8 GB models.
A100's memory capacity and 2039 GB/s bandwidth enable full fine-tuning of models over 8 GB without quantization. Its NVLink aids multi-GPU efficiency.
RTX 3070 Ti's 20.3 TFLOPS FP16 and 8 GB VRAM suffice for image generation at 512x512 resolutions. Low $0.06/hr pricing favors iterative creative workflows.
A100's 312 TFLOPS FP16 and InfiniBand interconnect accelerate simulations needing 40 GB datasets. Bandwidth superiority ensures smooth large-scale computations.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 40GB or RTX 3070 Ti?▾
The A100 SXM4 40GB provides 40 GB HBM2e VRAM, five times the RTX 3070 Ti's 8 GB GDDR6. This enables handling of larger AI models without memory constraints. Bandwidth reaches 2039 GB/s on A100 versus 448 GB/s.
How do FP16 performances compare between A100 and RTX 3070 Ti?▾
A100 delivers 312 TFLOPS FP16, over 15 times the RTX 3070 Ti's 20.3 TFLOPS. This gap accelerates deep learning training significantly. FP32 rates are close at 19.5 TFLOPS versus 20.3 TFLOPS.
What are the cloud rental prices for these GPUs?▾
NVIDIA A100 SXM4 40GB starts at $1.00/hr, averaging $2.63/hr across 5 offers. RTX 3070 Ti begins at $0.06/hr, averaging $0.08/hr over 2 offers. Pricing reflects enterprise versus consumer positioning.
Which has higher memory bandwidth?▾
The A100 achieves 2039 GB/s with HBM2e, over 4.5 times the RTX 3070 Ti's 448 GB/s GDDR6. Higher bandwidth supports larger batch sizes in training. This impacts data-intensive workloads directly.
What is the TDP difference between A100 SXM4 40GB and RTX 3070 Ti?▾
A100 requires 400W TDP, nearly double the RTX 3070 Ti's 220W. This affects power costs in cloud scaling. A100's form factor is SXM4 with NVLink, while RTX 3070 Ti uses PCIe.
Can RTX 3070 Ti replace A100 for AI training?▾
RTX 3070 Ti cannot replace A100 due to 8 GB VRAM versus 40 GB and 20.3 TFLOPS FP16 against 312 TFLOPS. It suits small models only. A100 excels in enterprise training scenarios.
Which is cheaper to rent, the A100 or the RTX 3070?▾
Cloud rental prices for both the A100 and RTX 3070 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 3070?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find A100 and RTX 3070 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 3070?▾
The A100 uses the Ampere architecture (2020) while the RTX 3070 uses Ampere (2020). The A100 delivers 15.4x the FP16 throughput and 4.6x the memory bandwidth of the RTX 3070.