Specifications Compared
| Spec | A100 | V100 |
|---|---|---|
| TDP | 400W | 300W |
| VRAM | 40-80 GB | 16-32 GB |
| CUDA Cores | 6,912 | 5,120 |
| Memory Type | HBM2e | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | SXM4, PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 3.0 |
| Tensor Cores | 432 | 640 |
| FP16 Performance | 312 TFLOPS | 125 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 900 GB/s |
Performance Analysis
Ampere architecture in the A100 provides substantial FP16 uplift to 312 TFLOPS over the V100's 125 TFLOPS, speeding deep learning training by up to 2.5 times in mixed-precision workflows. FP32 at 19.5 TFLOPS on the A100 edges out the V100's 15.7 TFLOPS, benefiting single-precision scientific simulations. This delta means faster convergence in model training and efficient inference for large language models.
The A100's 2039 GB/s memory bandwidth doubles the V100's 900 GB/s, supporting larger batch sizes without bottlenecks: for instance, batch sizes double in transformer training. 40 GB HBM2e VRAM on the A100 accommodates models exceeding 16 GB on the V100, reducing multi-GPU needs. NVLink and PCIe 4.0 on the A100 improve multi-node scaling over the V100's PCIe 3.0.
Higher 400W TDP on the A100 sustains peak performance longer than the V100's 300W, though it demands robust cooling.
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 | 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 | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
Tesla V100 16GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the A100 SXM4 40GB
Opt for the A100 SXM4 40GB in large-scale AI training where 312 TFLOPS FP16 and 40 GB VRAM handle billion-parameter models without sharding. Its 2039 GB/s bandwidth excels in high-throughput inference for real-time applications like recommendation systems.
Modern HPC workloads benefit from PCIe 4.0 and NVLink interconnects, enabling faster cluster scaling compared to the V100.
When to Choose the Tesla V100 16GB
Select the V100 16GB for cost-sensitive deployments at $0.10 per hour starting price, averaging $0.81 across 25 offers. Legacy Volta-optimized code runs efficiently with 125 TFLOPS FP16 and 900 GB/s bandwidth for smaller models under 16 GB.
Light inference or prototyping suits its 300W TDP and PCIe 3.0, minimizing power and infrastructure costs.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB VRAM support large batch sizes for billion-parameter models. V100's 16 GB limits scale to smaller datasets.
2039 GB/s bandwidth on A100 enables high-throughput serving. 40 GB VRAM fits full models without quantization needed on V100.
A100's 19.5 TFLOPS FP32 and higher bandwidth accelerate iterations. V100 suffices only for models under 16 GB.
40 GB VRAM on A100 handles high-resolution generations at 312 TFLOPS FP16. V100 struggles with memory limits.
V100's 15.7 TFLOPS FP32 fits legacy simulations cost-effectively. A100's 19.5 TFLOPS excels in memory-intensive parallel tasks.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 40GB or V100 16GB?▾
The A100 SXM4 40GB provides 40 GB HBM2e VRAM, double the V100 16GB's 16 GB HBM2. This allows larger models on A100. Bandwidth reaches 2039 GB/s on A100 versus 900 GB/s on V100.
How do FP16 performances compare between A100 and V100?▾
A100 delivers 312 TFLOPS FP16, 2.5 times the V100's 125 TFLOPS. This boosts training speed significantly. FP32 is 19.5 TFLOPS on A100 against 15.7 TFLOPS on V100.
What are the cloud pricing differences?▾
A100 SXM4 40GB starts at $1.00 per hour, averaging $2.63 across 5 offers. V100 16GB starts at $0.10 per hour, averaging $0.81 across 25 offers. V100 offers better value for light use.
Is A100 or V100 better for AI training?▾
A100 excels with 312 TFLOPS FP16 and 40 GB VRAM for modern training. V100's 125 TFLOPS suits smaller legacy tasks. Bandwidth of 2039 GB/s on A100 supports larger batches.
What are the power requirements?▾
A100 requires 400W TDP, higher than V100's 300W. A100 sustains peaks longer in demanding workloads. Both support SXM and PCIe form factors.
Which has faster interconnects?▾
A100 uses PCIe 4.0 and NVLink, outperforming V100's PCIe 3.0 and NVLink. This improves multi-GPU scaling. Architectures are Ampere 2020 versus Volta 2017.
Which is cheaper to rent, the A100 or the V100?▾
Cloud rental prices for both the A100 and V100 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 V100?▾
The A100 has 40 to 80 GB of HBM2e memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find A100 and V100 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 V100?▾
The A100 uses the Ampere architecture (2020) while the V100 uses Volta (2017). The A100 delivers 2.5x the FP16 throughput and 2.3x the memory bandwidth of the V100.