Specifications Compared
| Spec | GH200 | H100 |
|---|---|---|
| TDP | 900W | 700W |
| VRAM | 96 GB | 80-94 GB |
| CUDA Cores | 16,896 | 16,896 |
| Memory Type | HBM3 | HBM3 |
| Architecture | Hopper | Hopper |
| Form Factors | SXM | SXM5, PCIe, NVL |
| Interconnect | NVLink-C2C, PCIe 5.0 | NVLink, PCIe 5.0, InfiniBand |
| Tensor Cores | 528 | 528 |
| FP8 Performance | 3,958 TFLOPS | 3,958 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 67 TFLOPS | 67 TFLOPS |
| FP64 Performance | 34 TFLOPS | 34 TFLOPS |
| INT8 Performance | 3,958 TOPS | 3,958 TOPS |
| Memory Bandwidth | 4,000 GB/s | 3,350 GB/s |
Performance Analysis
Compute performance aligns precisely across FP formats: both GPUs deliver 1979 TFLOPS FP16 for mixed-precision training, 67 TFLOPS FP32 for general compute, and 3958 TFLOPS FP8 for efficient inference. This equivalence ensures comparable iteration speeds in matrix-heavy deep learning phases.
The GH200's 96 GB HBM3 VRAM exceeds the H100 SXM5's 80-94 GB, enabling single-GPU handling of models up to 96 GB without sharding, ideal for prototyping massive LLMs. Its 4000 GB/s bandwidth, versus 3350 GB/s, minimizes stalls during gradient accumulation, supporting larger batch sizes in training and boosting inference throughput for batched queries.
Higher 900W TDP on GH200 demands robust power delivery compared to 700W on H100 SXM5, but sustains peaks longer in prolonged runs. Memory advantages shine in bandwidth-limited scenarios, while compute parity favors H100 for balanced loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200 Grace Hopper
| 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 | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
H100 SXM5
| 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 |
When to Choose the GH200 Grace Hopper
The GH200 Grace Hopper suits memory-constrained supercomputing and massive model training. Its 96 GB VRAM accommodates LLMs exceeding 80 GB footprints, avoiding multi-GPU complexity, while 4000 GB/s bandwidth accelerates data flows for batch sizes infeasible on H100 SXM5's 3350 GB/s. NVLink-C2C integration optimizes CPU-offload in HPC simulations.
Users prioritizing raw capacity over cost select GH200 despite $1.99/hr starting pricing.
When to Choose the H100 SXM5
The H100 SXM5 fits budget-conscious AI deployments with high availability. Starting at $0.80/hr across 32 cloud offers, it matches GH200's 1979 TFLOPS FP16 and 3958 TFLOPS FP8 at lower entry cost and 700W TDP for simpler infrastructure. Versatile form factors like SXM5, PCIe, and NVL enable flexible scaling.
Inference and fine-tuning within 80-94 GB VRAM favor H100's value.
Use Cases
GH200's 96 GB VRAM and 4000 GB/s bandwidth support larger models and batch sizes than H100 SXM5's 80-94 GB and 3350 GB/s. This reduces communication overhead in memory-bound training.
H100 SXM5 matches GH200's 3958 TFLOPS FP8 and 1979 TFLOPS FP16 at $0.80/hr starting price. Most inference fits within 80-94 GB VRAM, prioritizing cost.
Identical 67 TFLOPS FP32 and 1979 TFLOPS FP16 suit fine-tuning on both. H100 SXM5 offers better pricing, GH200 extra VRAM for edge cases.
Stable Diffusion models load within H100 SXM5's 80-94 GB VRAM, leveraging equal FP16 performance at lower 700W TDP and $0.80/hr cost.
GH200's NVLink-C2C and 96 GB VRAM enhance CPU-GPU data movement for simulations. 4000 GB/s bandwidth outperforms H100 SXM5's 3350 GB/s in irregular workloads.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA GH200 Grace Hopper versus NVIDIA H100 SXM5?▾
The GH200 provides 96 GB HBM3 VRAM, exceeding the H100 SXM5's 80-94 GB HBM3. This difference enables GH200 to run larger single-GPU models without partitioning.
How do memory bandwidths compare between GH200 and H100 SXM5?▾
GH200 achieves 4000 GB/s, surpassing H100 SXM5's 3350 GB/s. Higher bandwidth on GH200 reduces latency for large batch processing in training.
Are the compute performances identical on GH200 and H100 SXM5?▾
Yes, both deliver 1979 TFLOPS FP16, 67 TFLOPS FP32, and 3958 TFLOPS FP8. Peak throughputs match for AI workloads.
What are the current cloud pricing differences for GH200 versus H100 SXM5?▾
GH200 starts at $1.99/hr (average $3.59/hr) across 4 offers; H100 SXM5 at $0.80/hr (average $3.54/hr) across 32 offers. H100 provides more economical access.
How do TDPs differ between these GPUs?▾
GH200 requires 900W TDP, higher than H100 SXM5's 700W. H100 eases power and cooling demands in clusters.
What interconnects do GH200 and H100 SXM5 support?▾
GH200 uses NVLink-C2C and PCIe 5.0; H100 SXM5 supports NVLink, PCIe 5.0, and InfiniBand. H100 offers greater cluster flexibility.
Which is cheaper to rent, the GH200 or the H100?▾
Cloud rental prices for both the GH200 and H100 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 GH200 have compared to the H100?▾
The GH200 has 96 GB of HBM3 memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find GH200 and H100 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 GH200 and the H100?▾
The GH200 uses the Hopper architecture (2023) while the H100 uses Hopper (2022). The H100 delivers 1.0x the FP16 throughput and 1.2x the memory bandwidth of the GH200.