Specifications Compared
| Spec | H100 | V100 |
|---|---|---|
| TDP | 700W | 300W |
| VRAM | 80-94 GB | 16-32 GB |
| CUDA Cores | 16,896 | 5,120 |
| Memory Type | HBM3 | HBM2 |
| Architecture | Hopper | Volta |
| Form Factors | SXM5, PCIe, NVL | SXM2, PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink, PCIe 3.0 |
| Tensor Cores | 528 | 640 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 125 TFLOPS |
| FP32 Performance | 67 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 34 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 900 GB/s |
Performance Analysis
FP16 performance defines training efficiency: the H100 NVL achieves 1979 TFLOPS, enabling 15.8 times faster mixed-precision model training than the V100's 125 TFLOPS. FP32 throughput at 67 TFLOPS on the H100 NVL supports 4.3 times quicker single-precision scientific simulations compared to 15.7 TFLOPS on the V100. For inference, the H100 NVL introduces FP8 at 3958 TFLOPS, ideal for quantized large language models where the V100 lacks equivalent capability. Memory bandwidth impacts batch sizes directly: 3350 GB/s on the H100 NVL sustains larger batches in deep learning pipelines, minimizing data transfer bottlenecks versus the V100's 900 GB/s. Higher TDP of 700W on the H100 NVL reflects its power demands, double the V100's 300W, but yields proportional gains in sustained workloads. These specs translate to real-world acceleration in transformer-based models and HPC tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
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 H100 NVL
Opt for the H100 NVL in large-scale LLM training where 80 to 94 GB VRAM handles models exceeding 32 GB, and 1979 TFLOPS FP16 reduces epochs significantly. Inference at scale benefits from 3958 TFLOPS FP8 and 3350 GB/s bandwidth for high-throughput serving. Scenarios demanding NVLink or PCIe 5.0 interconnects favor its modern form factors over the V100's PCIe 3.0.
When to Choose the Tesla V100 32GB
Select the V100 32GB for budget-limited projects with pricing from $0.29 per hour, suiting smaller models under 32 GB VRAM. Legacy Volta-optimized code runs efficiently at 125 TFLOPS FP16 without H100 NVL's $1.40 per hour entry cost. Low-power environments at 300W TDP make it preferable for on-premises clusters with InfiniBand.
Use Cases
H100 NVL delivers 1979 TFLOPS FP16, 15.8 times higher than V100's 125 TFLOPS, accelerating large model training. Its 80 to 94 GB VRAM supports massive datasets beyond V100's 32 GB limit.
FP8 performance at 3958 TFLOPS on H100 NVL optimizes quantized inference unavailable on V100. Bandwidth of 3350 GB/s enables high-throughput batching.
67 TFLOPS FP32 on H100 NVL provides 4.3 times the speed of V100's 15.7 TFLOPS for parameter-efficient tuning. Extra VRAM handles larger adapters.
V100's 32 GB VRAM and 125 TFLOPS FP16 suffice for standard image generation at lower cost. H100 NVL excels in high-resolution batches with 3350 GB/s bandwidth.
V100's 15.7 TFLOPS FP32 and 300W TDP fit simulations under 32 GB at $0.29 per hour. H100 NVL overkill unless FP32 at 67 TFLOPS needed.
Frequently Asked Questions
What is the FP16 performance difference between H100 NVL and V100 32GB?▾
H100 NVL achieves 1979 TFLOPS FP16, surpassing V100 32GB's 125 TFLOPS by 15.8 times. This gap accelerates deep learning training significantly. Bandwidth aids with 3350 GB/s versus 900 GB/s.
How much VRAM does H100 NVL have compared to V100?▾
H100 NVL provides 80 to 94 GB HBM3, over twice the V100 32GB's 32 GB HBM2. Larger VRAM supports bigger models in AI tasks. Pricing reflects this: $1.40 per hour average $2.89 for H100 NVL.
Is V100 cheaper than H100 in the cloud?▾
V100 32GB starts at $0.29 per hour averaging $1.01 across 46 offers, far below H100 NVL's $1.40 per hour average $2.89 over nine offers. Cost suits legacy use. Performance lags with 900 GB/s bandwidth.
What is the TDP of H100 NVL versus V100?▾
H100 NVL consumes 700W TDP, more than double V100's 300W. Higher power enables 67 TFLOPS FP32. Cooling requirements increase accordingly.
Can V100 handle LLM inference like H100?▾
V100 manages smaller LLMs with 125 TFLOPS FP16 and 32 GB VRAM, but lacks H100 NVL's FP8 at 3958 TFLOPS. Batch sizes limit due to 900 GB/s bandwidth. Use V100 for cost savings.
Which has better interconnects, H100 or V100?▾
H100 NVL supports NVLink, PCIe 5.0, and InfiniBand in SXM5 or NVL form factors. V100 uses NVLink and PCIe 3.0 in SXM2 or PCIe. H100 enables faster multi-GPU scaling.
Which is cheaper to rent, the H100 or the V100?▾
Cloud rental prices for both the H100 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 H100 have compared to the V100?▾
The H100 has 80 to 94 GB of HBM3 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find H100 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 H100 and the V100?▾
The H100 uses the Hopper architecture (2022) while the V100 uses Volta (2017). The H100 delivers 15.8x the FP16 throughput and 3.7x the memory bandwidth of the V100.