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
The A100 PCIe 80GB outperforms the V100 32GB significantly in FP16 at 312 TFLOPS versus 125 TFLOPS, a 2.5 times advantage ideal for deep learning training and inference using mixed precision. This delta accelerates neural network operations where FP16 dominates, reducing training times for large models. FP32 performance edges slightly higher at 19.5 TFLOPS on A100 compared to 15.7 TFLOPS on V100, benefiting general-purpose computing and simulations.
Memory bandwidth of 2039 GB/s on the A100, more than double the V100's 900 GB/s, allows larger batch sizes without bottlenecks, crucial for efficient training of models exceeding 32 GB VRAM. The A100's 80 GB HBM2e handles massive datasets in one GPU, minimizing multi-GPU complexity versus the V100's 32 GB limit.
Power consumption rises to 400W TDP on A100 from 300W on V100, demanding robust cooling but delivering proportional gains in throughput for high-utilization workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| 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×) |
Tesla V100 32GB
| 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 PCIe 80GB
Select the A100 PCIe 80GB for workloads requiring over 32 GB VRAM, such as training large language models with billions of parameters. Its 312 TFLOPS FP16 performance and 2039 GB/s bandwidth enable 2.5 times faster mixed-precision training than the V100's 125 TFLOPS and 900 GB/s. Cloud users benefit from PCIe 4.0 interconnect for scalable clusters at $0.89 per hour starting price.
When to Choose the Tesla V100 32GB
Choose the V100 32GB for budget-conscious deployments with models fitting within 32 GB VRAM, like fine-tuning smaller networks or legacy inference. At $0.29 per hour starting and $1.01 average, it offers strong value with 125 TFLOPS FP16 for tasks not demanding Ampere's advances. Lower 300W TDP suits power-limited environments.
Use Cases
A100's 80 GB VRAM and 312 TFLOPS FP16 handle massive LLMs that exceed V100's 32 GB limit. Bandwidth at 2039 GB/s supports large batches efficiently.
High FP16 throughput of 312 TFLOPS on A100 accelerates batched inference for production-scale LLMs. 80 GB VRAM fits larger models without sharding.
A100's superior 19.5 TFLOPS FP32 and memory capacity speed up fine-tuning of mid-to-large models. V100 suffices only for very small datasets.
A100's 2039 GB/s bandwidth and 80 GB VRAM enable high-resolution image generation at scale. FP16 performance doubles V100's for faster iterations.
V100's 15.7 TFLOPS FP32 handles many simulations cost-effectively at $0.29 per hour. A100's 19.5 TFLOPS edges for memory-intensive HPC tasks.
Frequently Asked Questions
How much faster is A100 than V100 in FP16?▾
A100 delivers 312 TFLOPS FP16, 2.5 times the V100's 125 TFLOPS. This boosts deep learning training and inference speeds significantly. Real-world gains depend on workload optimization.
What is the VRAM difference between A100 PCIe 80GB and V100 32GB?▾
A100 provides 80 GB HBM2e versus V100's 32 GB HBM2. This allows A100 to load larger models without multi-GPU setups. Bandwidth also differs at 2039 GB/s on A100 and 900 GB/s on V100.
Which GPU has lower cloud pricing?▾
V100 32GB starts at $0.29 per hour, averaging $1.01 across 44 offers. A100 PCIe 80GB begins at $0.89 per hour, averaging $2.08 across 28 offers. V100 suits budget needs.
Can V100 run modern AI models that A100 handles?▾
V100's 32 GB VRAM limits it for models over that size, unlike A100's 80 GB. FP16 at 125 TFLOPS lags A100's 312 TFLOPS for large-scale training. Use V100 for smaller legacy tasks.
What are the power requirements?▾
A100 PCIe 80GB has 400W TDP, higher than V100's 300W. This impacts data center cooling and costs. A100 justifies extra power with superior performance metrics.
Are both GPUs available in PCIe form factor?▾
Yes, A100 PCIe 80GB and V100 32GB both support PCIe alongside SXM variants. A100 uses PCIe 4.0, V100 PCIe 3.0. This ensures compatibility in standard servers.
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.