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
The H200 provides dramatically higher low-precision compute: 1979 TFLOPS FP16 exceeds Gaudi 2's 420 TFLOPS by over 4x, enabling faster LLM training cycles and inference serving. This gap translates to real-world speedups in deep learning where models leverage FP16 tensor cores extensively.
Gaudi 2 offers balanced performance with 420 TFLOPS FP32 matching its FP16, unlike H200's 67 TFLOPS FP32: such equilibrium aids workloads blending precision needs, like certain simulations. H200 counters with 3958 TFLOPS FP8 for ultra-efficient inference on quantized models.
Memory advantages define scalability: H200's 141 GB VRAM and 4800 GB/s bandwidth versus Gaudi 2's 96 GB and 2460 GB/s permit larger batch sizes in training, minimizing data loading stalls and boosting throughput in memory-bound scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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
| 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 | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available |
When to Choose the Gaudi 2
Budget-limited deployments favor Gaudi 2: its average cloud price of $1.08 per hour trails H200's $3.62, with a minimum of $0.91 across available offers. The 600W TDP and Ethernet interconnect fit single-node or Ethernet-clustered setups without NVLink demands.
Balanced 420 TFLOPS FP16 and FP32 performance suits scientific computing or legacy codes requiring FP32 parity, where H200's FP32 deficit at 67 TFLOPS hinders efficiency.
When to Choose the H200
High-throughput AI pipelines demand H200: 1979 TFLOPS FP16 and 141 GB HBM3e VRAM manage massive models infeasible on Gaudi 2's 96 GB. The 4800 GB/s bandwidth sustains large-batch training without bottlenecks.
Advanced interconnects like NVLink and InfiniBand enable seamless multi-GPU scaling across clusters, ideal for enterprise-scale LLM development.
Use Cases
H200's 1979 TFLOPS FP16 and 4800 GB/s bandwidth accelerate large-model training far beyond Gaudi 2's 420 TFLOPS and 2460 GB/s. The 141 GB VRAM supports bigger batches essential for efficiency.
H200 excels with 3958 TFLOPS FP8 and 1979 TFLOPS FP16 for high-throughput serving. Gaudi 2's lower 420 TFLOPS FP16 limits requests per second in production.
The 141 GB VRAM on H200 handles full-model fine-tuning without truncation, paired with superior FP16 performance. Gaudi 2's 96 GB constrains dataset sizes.
H200's memory bandwidth of 4800 GB/s and 141 GB VRAM speed image generation pipelines. Gaudi 2's 2460 GB/s yields slower iterations.
Gaudi 2's equal 420 TFLOPS FP16 and FP32 match diverse precision needs in simulations. H200's 67 TFLOPS FP32 underperforms in FP32-heavy tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The H200 offers 141 GB HBM3e VRAM, surpassing Gaudi 2's 96 GB HBM2e. This capacity enables H200 to load larger models directly, reducing overhead in memory-intensive AI tasks.
How do FP16 performances compare?▾
H200 achieves 1979 TFLOPS FP16, over 4x Gaudi 2's 420 TFLOPS. Such disparity boosts training and inference speeds on modern neural networks optimized for half-precision.
What are the cloud pricing differences?▾
Gaudi 2 prices start at $0.91 per hour with an average of $1.08 across two offers, while H200 begins at $0.50 per hour but averages $3.62 across 26 offers. H200's wider availability offsets its higher typical cost for premium users.
Which has higher memory bandwidth?▾
H200 delivers 4800 GB/s, nearly double Gaudi 2's 2460 GB/s. Higher bandwidth on H200 minimizes stalls during large-batch processing in deep learning.
What are the TDP ratings?▾
Gaudi 2 consumes 600W TDP, lower than H200's 700W. Gaudi 2 suits power-constrained environments, though H200's extra draw supports its superior compute.
Which GPU supports better interconnects?▾
H200 includes NVLink, PCIe 5.0, and InfiniBand for high-speed multi-GPU communication, versus Gaudi 2's Ethernet. H200 excels in distributed training across clusters.
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.