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
Peak FP16 performance ties at 1979 TFLOPS on both GPUs, enabling equivalent tensor core throughput for inference tasks. FP8 at 3958 TFLOPS similarly supports quantized models without disparity. FP32 at 67 TFLOPS per GPU implies matched training speeds for standard precision, yet GH200's 4000 GB/s memory bandwidth exceeds H100's 3350 GB/s by 19 percent, speeding data movement in gradient computations. This bandwidth edge allows GH200 to process larger batch sizes, boosting effective throughput by up to 20 percent in memory-bound training. GH200's 96 GB HBM3 capacity handles models over 80 GB seamlessly, avoiding paging delays common on H100's 80-94 GB. In practice, higher bandwidth reduces latency for diffusion models or simulations with frequent memory access. H100's 700W TDP versus 900W conserves power in sustained inference, though NVLink-C2C on GH200 accelerates CPU-GPU data sharing 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 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 |
When to Choose the GH200 Grace Hopper
The GH200 stands out for memory-intensive applications like training LLMs over 90 GB. Its 96 GB HBM3 and 4000 GB/s bandwidth support massive batch sizes without fragmentation. NVLink-C2C interconnect optimizes CPU-GPU coherence in HPC simulations requiring Grace CPU integration.
When to Choose the H100 NVL
The H100 NVL fits budget-conscious deployments with pricing from $1.40 per hour. Its 700W TDP lowers operational costs in power-limited data centers. Versatile form factors and InfiniBand enable scalable clusters for inference at 1979 TFLOPS FP16.
Use Cases
GH200's 96 GB HBM3 and 4000 GB/s bandwidth manage datasets exceeding 80 GB, unlike H100. This prevents out-of-memory issues during large-scale training.
Both deliver 1979 TFLOPS FP16 and 3958 TFLOPS FP8 for matched throughput. Choice depends on cost or memory needs.
H100's $1.40 per hour pricing suits iterative fine-tuning. Lower 700W TDP reduces expenses for frequent runs.
GH200's higher 4000 GB/s bandwidth accelerates image generation pipelines. 96 GB VRAM handles high-resolution batches efficiently.
NVLink-C2C enables seamless Grace CPU-GPU collaboration. 96 GB capacity supports complex simulations at 67 TFLOPS FP32.
Frequently Asked Questions
What is the VRAM difference between GH200 and H100 NVL?▾
GH200 offers 96 GB HBM3; H100 provides 80-94 GB HBM3. This allows GH200 to load larger models without swapping. Bandwidth follows suit at 4000 GB/s versus 3350 GB/s.
How do GH200 and H100 compare in FP16 performance?▾
Both achieve 1979 TFLOPS FP16 and 3958 TFLOPS FP8. Training and inference compute matches exactly. Differences lie in memory for sustained workloads.
Which has lower cloud pricing?▾
H100 NVL starts at $1.40 per hour, averaging $2.89 across 9 offers. GH200 begins at $1.99 per hour, averaging $3.59 across 4 offers. H100 provides better value for scale.
What is the TDP of each GPU?▾
GH200 requires 900W; H100 uses 700W. Lower TDP on H100 eases cooling in dense setups. GH200 suits high-capacity uncapped power environments.
Does GH200 include a CPU?▾
GH200 Grace Hopper integrates an Arm Grace CPU via NVLink-C2C. H100 NVL is GPU-only with NVLink for multi-GPU. This enhances GH200 for CPU-GPU hybrid tasks.
Which supports larger batch sizes?▾
GH200's 4000 GB/s bandwidth and 96 GB VRAM enable 20 percent larger batches than H100's 3350 GB/s and 80-94 GB. This boosts training throughput.
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.