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 specifications match precisely across both GPUs: 1979 TFLOPS FP16 accelerates transformer training, while 67 TFLOPS FP32 handles general simulations. FP8 at 3958 TFLOPS optimizes inference for 8-bit quantized LLMs, yielding up to twice the throughput of FP16. This parity means raw FLOPS do not differentiate them; real-world gains stem from memory.
GH200's 96 GB VRAM and 4000 GB/s bandwidth outperform H100's 80-94 GB and 3350 GB/s, permitting 20-30% larger batch sizes in training. Larger batches reduce overhead in gradient computations for models exceeding 70B parameters. H100's lower 700W TDP achieves better efficiency at 2.83 TFLOPS/W FP16 versus GH200's 2.20 TFLOPS/W, suiting power-constrained environments. NVLink-C2C in GH200 enhances CPU-GPU cohesion for hybrid workloads.
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 PCIe
| 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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
When to Choose the GH200 Grace Hopper
Select the GH200 for memory-intensive AI training: its 96 GB HBM3 holds entire 100B+ parameter LLMs, avoiding distributed setups. The 4000 GB/s bandwidth sustains massive batches, cutting training time by minimizing data movement. Research teams with $3.59/hr budgets prioritize this for frontier models.
When to Choose the H100 PCIe
Opt for H100 PCIe in production inference and fine-tuning: 80-94 GB VRAM suffices for 70B models, with pricing from $1.25/hr across 16 providers. The 700W TDP enables denser racks, reducing cooling costs. Its PCIe form factor simplifies integration in standard servers.
Use Cases
GH200's 96 GB VRAM and 4000 GB/s bandwidth support larger models and batches than H100's 80-94 GB and 3350 GB/s, reducing training iterations.
H100's identical 3958 TFLOPS FP8 and lower $1.25/hr pricing make it ideal for high-volume serving; 80-94 GB handles most deployments efficiently.
Both offer 1979 TFLOPS FP16 for parameter-efficient tuning; H100 suits cost focus, GH200 for datasets needing 96 GB.
H100's 3350 GB/s bandwidth and 700W TDP efficiently manage diffusion pipelines; cheaper at average $2.77/hr versus GH200.
GH200's NVLink-C2C and 96 GB VRAM accelerate simulations with CPU offload; 4000 GB/s boosts data-heavy HPC workloads.
Frequently Asked Questions
What is the VRAM capacity of GH200 versus H100 PCIe?▾
GH200 provides 96 GB HBM3 VRAM. H100 PCIe offers 80-94 GB HBM3. This 2-16 GB advantage aids GH200 in large-model training.
How do cloud prices compare for GH200 and H100?▾
GH200 starts at $1.99/hr, averaging $3.59/hr across 4 offers. H100 PCIe begins at $1.25/hr, averaging $2.77/hr over 16 offers. H100 provides better value for general use.
Which GPU has higher memory bandwidth?▾
GH200 delivers 4000 GB/s bandwidth. H100 achieves 3350 GB/s. GH200's 19% lead supports bigger batches in memory-bound tasks.
Do GH200 and H100 have the same FP16 performance?▾
Yes, both reach 1979 TFLOPS FP16 and 67 TFLOPS FP32. FP8 also matches at 3958 TFLOPS, equalizing peak AI compute.
What are the TDP ratings?▾
GH200 consumes 900W TDP. H100 uses 700W. H100's lower power enables higher density in cloud instances.
What interconnects do they support?▾
GH200 uses NVLink-C2C and PCIe 5.0. H100 supports NVLink, PCIe 5.0, and InfiniBand. GH200 optimizes CPU-GPU links in superchips.
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.