Specifications Compared
| Spec | V100 | A100 |
|---|---|---|
| TDP | 300W | 400W |
| VRAM | 16-32 GB | 40-80 GB |
| CUDA Cores | 5,120 | 6,912 |
| Memory Type | HBM2 | HBM2e |
| Architecture | Volta | Ampere |
| Form Factors | SXM2, PCIe | SXM4, PCIe |
| Interconnect | NVLink, PCIe 3.0 | NVLink, PCIe 4.0, InfiniBand |
| Tensor Cores | 640 | 432 |
| FP16 Performance | 125 TFLOPS | 312 TFLOPS |
| FP32 Performance | 15.7 TFLOPS | 19.5 TFLOPS |
| FP64 Performance | 7.8 TFLOPS | 9.7 TFLOPS |
| Memory Bandwidth | 900 GB/s | 2,039 GB/s |
Performance Analysis
The A100 outperforms the V100 significantly in compute metrics. Its FP16 rate reaches 312 TFLOPS compared to 125 TFLOPS on the V100, accelerating mixed-precision training by up to 2.5 times. FP32 performance edges forward at 19.5 TFLOPS versus 15.7 TFLOPS, benefiting single-precision inference tasks.
Memory specifications transform real-world usage. The A100's 40 to 80 GB HBM2e VRAM supports models exceeding 32 GB, the V100 maximum, enabling larger batch sizes without splitting. Bandwidth of 2039 GB/s on the A100, over twice the V100's 900 GB/s, reduces data loading bottlenecks during training, allowing higher throughput in memory-bound scenarios like transformer models.
Power draw differs at 400W for A100 versus 300W for V100, but interconnects advance with PCIe 4.0 and InfiniBand on A100 over PCIe 3.0 on V100. These enable faster multi-GPU scaling for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
V100
| 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 |
A100
| 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 646GB Storage | Czechia | $1.07/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 V100
The V100 suits budget-constrained projects with modest requirements. Its entry cloud pricing starts at $0.05 per hour, lower than the A100's $0.13 per hour, and 300W TDP consumes less power in dense deployments. Models fitting within 32 GB VRAM, such as older CNNs, run efficiently at 125 TFLOPS FP16 without overprovisioning.
Legacy software optimized for Volta performs reliably on V100 across SXM2 or PCIe form factors with NVLink interconnects.
When to Choose the A100
The A100 excels in demanding AI pipelines requiring scale. Its 80 GB maximum VRAM handles massive LLMs, unlike the V100's 32 GB limit, while 312 TFLOPS FP16 speeds training iterations. Greater availability across 34 cloud offers at an average $1.33 per hour supports production environments.
Advanced interconnects like PCIe 4.0 and InfiniBand facilitate cluster scaling beyond V100's PCIe 3.0 capabilities.
Use Cases
A100's 40-80 GB VRAM and 312 TFLOPS FP16 support billion-parameter models that exceed V100's 32 GB limit and 125 TFLOPS capacity.
A100's 2039 GB/s bandwidth sustains high throughput for batched requests, outperforming V100's 900 GB/s in production serving.
A100 handles larger batch sizes with 19.5 TFLOPS FP32 and ample VRAM, reducing epochs compared to V100's constraints.
V100 suffices for standard resolutions within 32 GB VRAM at 125 TFLOPS FP16; A100 accelerates high-res generations via 312 TFLOPS.
V100's 15.7 TFLOPS FP32 and lower 300W TDP fit simulations under 32 GB, where A100's extras add unnecessary cost.
Frequently Asked Questions
Which GPU has more VRAM: V100 or A100?▾
The A100 provides 40 to 80 GB HBM2e VRAM. The V100 offers 16 to 32 GB HBM2. This difference allows A100 to manage larger datasets.
Is A100 faster than V100 for AI training?▾
A100 achieves 312 TFLOPS FP16 versus V100's 125 TFLOPS. Bandwidth reaches 2039 GB/s on A100 compared to 900 GB/s on V100. Training speeds improve substantially on A100.
What are the cloud prices for V100 and A100?▾
V100 starts from $0.05 per hour, averaging $1.92 per hour across six offers. A100 begins at $0.13 per hour, averaging $1.33 per hour over 34 offers. A100 shows better average value.
Does V100 support NVLink?▾
V100 includes NVLink and PCIe 3.0 interconnects. A100 adds PCIe 4.0 and InfiniBand. Both enable multi-GPU communication.
Which has higher power consumption?▾
A100 draws 400W TDP. V100 uses 300W. A100's higher draw supports its elevated performance metrics.
When was each GPU released?▾
V100 launched with Volta architecture in 2017. A100 arrived with Ampere in 2020. The three-year gap reflects architectural advances.
Which is cheaper to rent, the V100 or the A100?▾
Cloud rental prices for both the V100 and A100 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 V100 have compared to the A100?▾
The V100 has 16 to 32 GB of HBM2 memory. The A100 has 40 to 80 GB of HBM2e memory.
Can I find V100 and A100 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 V100 and the A100?▾
The V100 uses the Volta architecture (2017) while the A100 uses Ampere (2020). The A100 delivers 2.5x the FP16 throughput and 2.3x the memory bandwidth of the V100.