H200 vs GAUDI2
Explore a head to head comparison of specifications, performance, and pricing.
H200
The NVIDIA H200 is an advanced Hopper-based GPU that significantly boosts performance for generative AI, LLM, and HPC workloads with enhanced memory and bandwidth.
GAUDI2
The intel GAUDI2 delivers high-performance computing capabilities for AI, machine learning, and data science applications.
H200 vs GAUDI2: Which Should You Choose?
The H200 offers 141 GB of VRAM — 1.5× the 96 GB on the GAUDI2 — making it better suited for large model workloads that require holding more parameters in GPU memory. The H200 is available across 7 cloud providers on Shadeform compared to 1 for the GAUDI2, giving more options for region and pricing flexibility.
H200 — Best Use Cases
- •Training large language models (7B–405B parameters)
- •High-throughput LLM inference
- •Mixture-of-experts and transformer workloads
- •Distributed multi-GPU training runs
Choose H200 when:
- ✓You need 141 GB+ VRAM for large models or long context windows
- ✓You need flexibility across multiple cloud providers or regions
GAUDI2 — Best Use Cases
- •General-purpose GPU compute
- •Deep learning training and inference
- •AI model development
Choose GAUDI2 when:
- ✓96 GB VRAM is sufficient for your workload
- ✓Your preferred provider already has availability
See how the H200 & GAUDI2 compare
Compare detailed hardware specifications and average pricing for the H200 and GAUDI2.
Compare Hardware Specifications
| H200 | GAUDI2 | |
|---|---|---|
| GPU Type | H200 | GAUDI2 |
| VRAM per GPU | 141 GB | 96 GB |
| Manufacturer | NVIDIA | intel |
| Architecture | Hopper | N/A |
| Interconnect | SXM5 | pcie |
| Memory Bandwidth | 4.8 TB/s | N/A |
| FP16 TFLOPS | 267.6 TFLOPS (4:1) | N/A |
| CUDA Cores | 16896 | N/A |
| Tensor Cores | 528 (4th Gen) | N/A |
| Base Clock | 1500 MHz | N/A |
| Boost Clock | 1980 MHz | N/A |
| TDP | 350-700W | N/A |
| Process Node | TSMC 4N | N/A |
| Data Formats | FP8, INT8, BF16, FP16, TF32, FP32, FP64 | N/A |
Compare Average On-Demand Pricing
| H200 | GAUDI2 | |
|---|---|---|
| 1 GPU | $3.33 /hr | N/A |
| 2 GPUs | $14.79 /hr | N/A |
| 4 GPUs | $7.60 /hr | N/A |
| 8 GPUs | $23.48 /hr | $8.80 /hr |
Frequently Asked Questions: H200 vs GAUDI2
The main differences are VRAM (141 GB vs 96 GB).
The H200 is generally better for large language model training due to its higher throughput and 141 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.
Pricing for the H200 and GAUDI2 varies by cloud provider, region, and contract type. Shadeform aggregates pricing from 30+ GPU cloud providers so you can compare and find the best rate. Use the instance table above to see current on-demand prices.
The H200 has more VRAM at 141 GB, compared to 96 GB on the GAUDI2. Higher VRAM allows you to run larger models without quantization, use longer context windows, and process larger batch sizes — all of which improve throughput and reduce latency for memory-bound workloads.
The H200 is currently available across 7 cloud providers on Shadeform's network, compared to 1 for the GAUDI2. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.
Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either H200 or GAUDI2. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.
Explore H200 & GAUDI2 Instances
Browse available instances with H200 and GAUDI2 GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.
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