Specifications Compared
| Spec | GAUDI2 | H200 |
|---|---|---|
| TDP | 600W | 700W |
| VRAM | 96 GB | 141 GB |
| Memory Type | HBM2e | HBM3e |
| Architecture | Gaudi | Hopper |
| Form Factors | OAM | SXM, NVL |
| Interconnect | Ethernet | NVLink, PCIe 5.0, InfiniBand |
| FP16 Performance | 420 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 420 TFLOPS | 67 TFLOPS |
| Memory Bandwidth | 2,460 GB/s | 4,800 GB/s |
Performance Analysis
H200's FP16 performance of 1979 TFLOPS vastly exceeds Gaudi 2's 420 TFLOPS, accelerating AI training and mixed-precision inference significantly. This delta means H200 completes training epochs faster for models like transformers, reducing time from days to hours on equivalent datasets. Gaudi 2's equal 420 TFLOPS FP16 and FP32 suits workloads needing precise FP32 computations, such as scientific simulations, where H200's lower 67 TFLOPS FP32 lags.
Memory specs favor H200: 141 GB HBM3e versus 96 GB HBM2e enables larger batch sizes, fitting models up to 141 GB without splitting, versus Gaudi 2's limit. The 4800 GB/s bandwidth doubles Gaudi 2's 2460 GB/s, minimizing data bottlenecks during inference and allowing higher throughput. H200's FP8 at 3958 TFLOPS further boosts low-precision inference, ideal for serving LLMs at scale, while Gaudi 2's 600W TDP offers modest power efficiency over H200's 700W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Intel Gaudi 2
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 8×Intel Gaudi 2 96GB VRAM | 96GB | 64 vCPU 2048GB RAM 96174GB Storage | Netherlands | $0.91/GPU/hr $7.29/hr total (8×) | Available | ||
 Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |
H200 NVL
| 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 | NVIDIA H200 SXM 141GB VRAM | 141GB | 24 vCPU 240GB RAM 3000GB Storage | London | $3.50/GPU/hr | Available |
When to Choose the Intel Gaudi 2
Choose Gaudi 2 for cost-sensitive deployments requiring balanced FP16 and FP32 performance at 420 TFLOPS each. Its average pricing of $1.08 per hour across two offers undercuts H200 NVL's $2.39 per hour average, suiting budget-limited training or inference on models under 96 GB. Ethernet interconnect simplifies scaling in Ethernet-based clusters without NVLink complexity.
When to Choose the H200 NVL
Opt for H200 in performance-critical scenarios leveraging 1979 TFLOPS FP16 and 141 GB VRAM for massive LLMs. The 4800 GB/s bandwidth supports enormous batch sizes, ideal for enterprise inference at scale. NVLink and InfiniBand enable multi-GPU training efficiency, justifying $0.50 per hour starting price for high-throughput needs.
Use Cases
H200's 1979 TFLOPS FP16 outperforms Gaudi 2's 420 TFLOPS, speeding up large model training. Its 141 GB VRAM handles bigger datasets without fragmentation.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving of LLMs up to 141 GB. Gaudi 2 limits scale with 96 GB and lower performance.
Superior FP16 at 1979 TFLOPS on H200 accelerates fine-tuning iterations versus Gaudi 2's 420 TFLOPS. Larger 141 GB VRAM fits full models during adaptation.
Gaudi 2's balanced 420 TFLOPS FP16/FP32 handles image generation efficiently at lower cost. H200 excels for high-resolution batches with 141 GB VRAM.
Gaudi 2's 420 TFLOPS FP32 matches its FP16, ideal for precision simulations. H200's 67 TFLOPS FP32 underperforms in FP32-dominant tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
NVIDIA H200 offers 141 GB HBM3e VRAM compared to Intel Gaudi 2's 96 GB HBM2e. This allows H200 to load larger models without model parallelism.
What is the FP16 performance difference?▾
H200 delivers 1979 TFLOPS FP16 versus Gaudi 2's 420 TFLOPS. H200 processes AI training workloads over four times faster in FP16 precision.
How do prices compare?▾
Gaudi 2 starts at $0.91 per hour averaging $1.08 per hour across two offers. H200 NVL begins at $0.50 per hour but averages $2.39 per hour across four offers.
Which has higher memory bandwidth?▾
H200 provides 4800 GB/s bandwidth, nearly double Gaudi 2's 2460 GB/s. This reduces data transfer bottlenecks for large batch inference.
What interconnects do they support?▾
Gaudi 2 uses Ethernet. H200 supports NVLink, PCIe 5.0, and InfiniBand for superior multi-GPU scaling in clusters.
Which is more power efficient?▾
Gaudi 2 has a 600W TDP versus H200's 700W. Gaudi 2 consumes less power for workloads not requiring H200's peak performance.
Which is cheaper to rent, the Gaudi 2 or the H200?▾
Cloud rental prices for both the Gaudi 2 and H200 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 Gaudi 2 have compared to the H200?▾
The Gaudi 2 has 96 GB of HBM2e memory. The H200 has 141 GB of HBM3e memory.
Can I find Gaudi 2 and H200 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 Gaudi 2 and the H200?▾
The Gaudi 2 uses the Gaudi architecture (2022) while the H200 uses Hopper (2024). The H200 delivers 4.7x the FP16 throughput and 2.0x the memory bandwidth of the Gaudi 2.