Specifications Compared
| Spec | H200 | P100 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 141 GB | 16 GB |
| CUDA Cores | 16,896 | 3,584 |
| Memory Type | HBM3e | HBM2 |
| Architecture | Hopper | Pascal |
| Form Factors | SXM, NVL | SXM2, PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 9.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 9.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | 4.7 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 732 GB/s |
Performance Analysis
Memory capacity defines workload feasibility: the H200's 141 GB HBM3e VRAM supports massive models that exceed the P100's 16 GB HBM2 limit, enabling larger batch sizes in training without model sharding. Bandwidth amplifies this: 4800 GB/s on the H200 accelerates data transfers critical for memory-bound tasks, compared to 732 GB/s on the P100, reducing bottlenecks in deep learning pipelines.
Compute disparities favor the H200 profoundly. Its 1979 TFLOPS FP16 performance suits mixed-precision training, where the P100's 9.3 TFLOPS FP16 struggles with speed. FP32 at 67 TFLOPS on the H200 outperforms the P100's 9.3 TFLOPS, benefiting simulations requiring full precision. The H200's FP8 capability of 3958 TFLOPS further optimizes inference latency.
Power draw reflects efficiency trade-offs: the H200's 700W TDP demands robust cooling versus the P100's 250W, but delivers over 200 times FP16 throughput. In practice, these specs translate to hours-long training jobs on P100 extending to minutes on H200, with bandwidth enabling 6.5 times faster memory access.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available |
Tesla P100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 0 vCPU 256GB RAM 960GB Storage | Netherlands | $0.60/GPU/hr $1.20/hr total (2×) | Available |
When to Choose the H200 SXM
Opt for the H200 in large-scale AI training and inference where 141 GB VRAM handles models over 100 billion parameters without distillation. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth excel in transformer-based workloads, reducing epochs from days to hours.
Cloud deployments benefit from H200's NVLink, PCIe 5.0, and InfiniBand interconnects for multi-GPU scaling across 22 pricing offers starting at $1.19 per hour.
When to Choose the Tesla P100
Select the P100 for budget-constrained legacy applications compatible with Pascal architecture, such as initial prototyping or small-scale scientific computing within 16 GB VRAM limits. At $0.60 per hour, it offers low entry costs for non-time-critical tasks.
Its 250W TDP suits power-sensitive environments, and NVLink supports basic multi-GPU setups where modern bandwidth of 732 GB/s suffices.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters infeasible on P100's 16 GB and 9.3 TFLOPS.
3958 TFLOPS FP8 on H200 delivers low-latency serving for large models, outperforming P100's limited 9.3 TFLOPS FP16 capacity.
4800 GB/s bandwidth supports efficient gradient updates on H200, versus P100's 732 GB/s which constrains batch sizes.
H200's high FP16 throughput accelerates diffusion steps, with 141 GB VRAM enabling high-resolution generations beyond P100 limits.
P100 suffices for legacy FP32 codes at 9.3 TFLOPS and low $0.60 per hour cost; H200's 67 TFLOPS FP32 excels in modern simulations.
Frequently Asked Questions
Which GPU has more VRAM: H200 or P100?▾
The H200 provides 141 GB HBM3e VRAM, vastly exceeding the P100's 16 GB HBM2. This allows H200 to load larger models without splitting. P100 suits smaller datasets only.
How does H200 FP16 performance compare to P100?▾
H200 achieves 1979 TFLOPS FP16, over 212 times the P100's 9.3 TFLOPS. This gap speeds up AI training significantly. Inference benefits similarly from the uplift.
What is the memory bandwidth difference between H200 and P100?▾
H200 offers 4800 GB/s, about 6.6 times the P100's 732 GB/s. Higher bandwidth reduces data stalls in memory-intensive tasks. It supports bigger batches on H200.
Which is cheaper in the cloud: H200 or P100?▾
P100 pricing starts and averages $0.60 per hour across one offer, cheaper than H200's $1.19 per hour start and $3.71 average across 22 offers. P100 fits tight budgets. H200 justifies cost with performance.
What are the TDP ratings for H200 and P100?▾
H200 has a 700W TDP, higher than P100's 250W. This demands better power infrastructure for H200. P100 enables denser, lower-power deployments.
Can P100 handle modern LLM workloads?▾
P100's 16 GB VRAM limits it to small LLMs under that threshold, unlike H200's 141 GB. Its 9.3 TFLOPS FP16 yields slow training times. Upgrade to H200 for current scales.
Which is cheaper to rent, the H200 or the P100?▾
Cloud rental prices for both the H200 and P100 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 H200 have compared to the P100?▾
The H200 has 141 GB of HBM3e memory. The P100 has 16 GB of HBM2 memory.
Can I find H200 and P100 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 H200 and the P100?▾
The H200 uses the Hopper architecture (2024) while the P100 uses Pascal (2016). The H200 delivers 212.8x the FP16 throughput and 6.6x the memory bandwidth of the P100.