Specifications Compared
| Spec | H200 | V100 |
|---|---|---|
| TDP | 700W | 300W |
| VRAM | 141 GB | 16-32 GB |
| CUDA Cores | 16,896 | 5,120 |
| Memory Type | HBM3e | HBM2 |
| Architecture | Hopper | Volta |
| Form Factors | SXM, 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 | 4,800 GB/s | 900 GB/s |
Performance Analysis
The H200's FP16 performance of 1979 TFLOPS dwarfs the V100's 125 TFLOPS, enabling 15 times faster AI training for deep learning models that rely on half-precision computations. FP32 capabilities show similar gains, with 67 TFLOPS versus 15.7 TFLOPS, benefiting scientific simulations and inference tasks requiring single-precision accuracy. These deltas translate to shorter training cycles for large neural networks on the H200.
Memory specifications transform workload feasibility: 141 GB HBM3e VRAM on the H200 supports batch sizes impossible on the V100's 16 GB HBM2, reducing out-of-memory errors in LLM fine-tuning. The 4800 GB/s bandwidth versus 900 GB/s accelerates data movement, minimizing bottlenecks in memory-intensive inference. Overall, the H200 handles modern scale, while the V100 suits smaller, legacy applications.
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 | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
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 H200 SXM
Opt for the NVIDIA H200 SXM in large-scale AI training and inference where 141 GB VRAM accommodates massive models like GPT-scale LLMs without multi-GPU sharding. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth excel in high-throughput environments, justifying $1.19 per hour starting price for production deployments.
The H200 suits data centers needing NVLink and PCIe 5.0 interconnects for clustered performance, far beyond the V100's capabilities.
When to Choose the Tesla V100 16GB
Choose the NVIDIA Tesla V100 16GB for budget-constrained prototyping or legacy Volta-optimized codebases, where 16 GB VRAM and 125 TFLOPS FP16 suffice for small models at $0.10 per hour. Its 300W TDP enables dense deployments in power-sensitive setups.
The V100 fits intermittent scientific computing or fine-tuning on modest datasets, avoiding overkill costs of newer hardware.
Use Cases
The H200's 141 GB VRAM and 1979 TFLOPS FP16 enable training massive LLMs without sharding, unlike the V100's 16 GB limit. Its 4800 GB/s bandwidth sustains large batch sizes.
H200 delivers 3958 TFLOPS FP8 for ultra-fast inference on large models fitting in 141 GB VRAM. V100's 16 GB restricts deployment scale.
141 GB HBM3e on H200 handles full model fine-tuning with large batches, versus V100's frequent memory swaps at 16 GB. FP16 gains of 1979 versus 125 TFLOPS accelerate iterations.
H200's high FP16 and bandwidth support high-resolution image generation at scale. V100's specs limit batch sizes and speed.
V100's 15.7 TFLOPS FP32 suffices for modest simulations at low cost. H200's 67 TFLOPS excels in large-scale HPC but may overprovision small tasks.
Frequently Asked Questions
Which GPU has more VRAM: H200 SXM or V100 16GB?▾
The H200 SXM offers 141 GB HBM3e VRAM, nearly nine times the V100 16GB's 16 GB HBM2. This enables larger models on H200. V100 suits memory-light tasks.
How do FP16 performances compare between H200 and V100?▾
H200 achieves 1979 TFLOPS FP16, 15 times the V100's 125 TFLOPS. This boosts AI training speed dramatically on H200. Inference also benefits from the gap.
What are the cloud pricing differences for these GPUs?▾
H200 SXM starts at $1.19 per hour (average $3.71) across 22 offers, while V100 16GB begins at $0.10 (average $0.82) across 24. V100 wins on cost for light use. H200 justifies premium for performance.
Which has higher memory bandwidth?▾
H200 provides 4800 GB/s, over five times the V100's 900 GB/s. Faster bandwidth reduces data bottlenecks on H200. This aids large batch processing.
Is H200 or V100 better for power efficiency?▾
V100 consumes 300W TDP versus H200's 700W, favoring denser V100 clusters. H200's efficiency per TFLOP remains superior at 1979 FP16 TFLOPS. Choose based on workload density.
What architectures do these GPUs use?▾
H200 uses 2024 Hopper architecture with FP8 support at 3958 TFLOPS. V100 relies on 2017 Volta without FP8. Hopper enables modern AI optimizations.
Which is cheaper to rent, the H200 or the V100?▾
Cloud rental prices for both the H200 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 H200 have compared to the V100?▾
The H200 has 141 GB of HBM3e memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find H200 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 H200 and the V100?▾
The H200 uses the Hopper architecture (2024) while the V100 uses Volta (2017). The H200 delivers 15.8x the FP16 throughput and 5.3x the memory bandwidth of the V100.