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 PCIe 40GB vastly outperforms the RTX 3070 Ti in FP16 compute at 312 TFLOPS versus 20.3 TFLOPS, a 15-fold advantage critical for deep learning training where half-precision accelerates matrix operations via tensor cores. Its FP32 performance of 19.5 TFLOPS nearly matches the RTX 3070 Ti's 20.3 TFLOPS, but the FP16 delta positions the A100 PCIe 40GB for efficient large-scale model training while the RTX 3070 Ti suits balanced FP32 tasks like gaming or general simulation.
Memory specifications define real-world limits: the A100 PCIe 40GB's 40 GB HBM2e VRAM supports batch sizes for models exceeding 8 GB, preventing out-of-memory errors common on the RTX 3070 Ti during inference on large language models. Bandwidth at 2039 GB/s on the A100 PCIe 40GB, over 4.5 times the RTX 3070 Ti's 448 GB/s, enables faster data transfers, reducing bottlenecks in training loops and allowing larger effective batch sizes for stable convergence.
Power draw reflects deployment differences: the A100 PCIe 40GB's 400W TDP suits enterprise cooling, while the RTX 3070 Ti's 220W fits consumer setups, influencing cloud instance selection for density and cost.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 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 PCIe 40GB
The A100 PCIe 40GB excels in professional AI workflows requiring over 8 GB VRAM, such as training large language models where its 40 GB HBM2e and 312 TFLOPS FP16 handle datasets without splitting. High memory bandwidth of 2039 GB/s supports massive batch sizes, ideal for research teams prioritizing throughput over cost in cloud environments averaging $1.85 per hour.
Multi-GPU setups benefit from NVLink and InfiniBand interconnects, enabling scaled training clusters unavailable on consumer cards.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti suits budget-conscious users for prototyping or inference on models fitting within 8 GB GDDR6 VRAM, offering 20.3 TFLOPS FP32 at $0.06 per hour starting price. It handles tasks like image generation or fine-tuning small networks efficiently without the A100 PCIe 40GB's overhead.
Gaming or hybrid consumer workloads leverage its 220W TDP and PCIe compatibility for versatile, low-cost cloud access.
Use Cases
The A100 PCIe 40GB's 40 GB HBM2e VRAM and 312 TFLOPS FP16 support large language models without memory constraints. The RTX 3070 Ti's 8 GB GDDR6 limits batch sizes for such tasks.
High bandwidth of 2039 GB/s on the A100 PCIe 40GB enables fast serving of full models. The RTX 3070 Ti works for quantized small models but falters on larger ones.
A100 PCIe 40GB handles parameter-efficient fine-tuning on datasets needing 40 GB VRAM. RTX 3070 Ti suffices for tiny models under 8 GB.
RTX 3070 Ti's 20.3 TFLOPS FP16 generates images efficiently within 8 GB VRAM limits. A100 PCIe 40GB overkill for standard resolutions.
A100 PCIe 40GB's 2039 GB/s bandwidth accelerates simulations with large arrays. RTX 3070 Ti's 448 GB/s bottlenecks complex computations.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 40GB and RTX 3070 Ti?▾
The A100 PCIe 40GB offers 40 GB HBM2e VRAM, while the RTX 3070 Ti provides 8 GB GDDR6. This allows the A100 PCIe 40GB to load much larger models without swapping.
How do FP16 performances compare?▾
A100 PCIe 40GB delivers 312 TFLOPS FP16, over 15 times the RTX 3070 Ti's 20.3 TFLOPS. This gap accelerates AI training significantly on the A100 PCIe 40GB.
What are the cloud pricing ranges?▾
A100 PCIe 40GB starts at $0.60 per hour averaging $1.85 per hour across 11 offers. RTX 3070 Ti begins at $0.06 per hour averaging $0.08 per hour across 2 offers.
Which has higher memory bandwidth?▾
A100 PCIe 40GB achieves 2039 GB/s, more than 4.5 times the RTX 3070 Ti's 448 GB/s. Higher bandwidth supports larger batch sizes in training.
Is A100 PCIe 40GB better for ML training?▾
Yes, its 312 TFLOPS FP16 and 40 GB VRAM outperform the RTX 3070 Ti's 20.3 TFLOPS and 8 GB for large-scale training. RTX 3070 Ti fits small prototypes.
What are the TDP ratings?▾
A100 PCIe 40GB consumes 400W TDP suited for datacenters. RTX 3070 Ti uses 220W, better for consumer or dense cloud deployments.
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.