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How Does H200 GPU Compare to Other AI Accelerators?

The NVIDIA H200 GPU outperforms many AI accelerators like the H100 and A100 in memory-intensive tasks due to its 141GB HBM3e memory and 4.8 TB/s bandwidth, delivering up to 45% faster LLM inference than H100 gpu and 2.5x throughput over A100. Compared to competitors, it leads AMD MI300X in multi-GPU scaling efficiency (99.8% vs. 81-95%) and Intel Gaudi3 in benchmarks by up to 9x on Llama models, though AMD MI325X offers higher memory capacity. Cyfuture Cloud provides H200 GPU cloud server hosting for scalable AI workloads, enabling enterprises to access this power without upfront hardware costs.​

Detailed Comparison of H200 GPU

Cyfuture Cloud's H200 GPU hosting leverages NVIDIA's Hopper architecture, featuring 141GB HBM3e memory—76% more than H100's 80GB HBM3—and 4.8 TB/s bandwidth for handling massive datasets in AI training and inference. This gives H200 a clear edge in memory-bound workloads: benchmarks show 31,712 tokens/second on Llama 2-70B inference (45% faster than H100's 21,806) and 2.59x throughput over A100.​

Key Specs and Benchmarks

Accelerator

Memory

Bandwidth

FP8 TFLOPS

LLM Inference (Llama 70B tokens/s)

Notes [web:id]

NVIDIA H200

141GB HBM3e

4.8 TB/s

4 petaFLOPS

31,712

1.9x faster GenAI; excels in multi-GPU ​

NVIDIA H100

80GB HBM3

3.35 TB/s

~4 petaFLOPS

21,806

Identical compute cores; H200 wins on memory ​

NVIDIA A100

80GB HBM2e

2 TB/s

N/A

~3,100 (est.)

2.3-2.6x slower; older gen ​

AMD MI300X

192GB HBM3

5.3 TB/s

~2.6 petaFLOPS (FP16 equiv.)

18,752 (74% of H200)

Strong single-GPU but lower scaling ​

Intel Gaudi3

96GB HBM2e

3.7 TB/s

N/A

On par/smaller models; 9x slower on Llama 405B

Ethernet scaling to 8K chips ​

H200 matches H100's computer (e.g., 989 TFLOPS FP16) but surges ahead in bandwidth-heavy tasks like LLMs, offering 110x HPC gains and NVLink for efficient clusters—ideal for Cyfuture Cloud's GPU as a Service. Versus AMD MI325X (288GB HBM3e, 10.3 TB/s), H200 has lower TDP (700W vs. 1000W) and better NVIDIA ecosystem maturity. Gaudi3 trails in raw benchmarks despite efficiency claims.​

Conclusion

For AI professionals at Cyfuture Cloud, the H200 stands out as a versatile accelerator, balancing superior memory performance, scalability, and efficiency for LLMs and HPC—often surpassing H100/A100 gpu by 30-50% and rivals like MI300X/Gaudi3 in real-world scaling. Renting H200 via Cyfuture Cloud's flexible hosting optimizes costs (up to 60% savings) and deployment speed for enterprises scaling AI without capex.​

Follow-up Questions & Answers

What workloads benefit most from H200 on Cyfuture Cloud?
Memory-intensive tasks like LLM training/inference (e.g., Llama/GPT) and HPC simulations excel, with 1.9x-10x gains over prior gens due to HBM3e.​

 

How does Cyfuture Cloud price H200 GPU hosting?
Competitive on-demand rates (e.g., similar to ₹226-300/hr for peers), with scalable clusters from single-node to multi-GPU, reducing infra costs by 60%.​

 

Is H200 available now on Cyfuture Cloud?
Yes, via dedicated H200 servers and GPU clusters for AI/ML, with one-click provisioning and MIG for secure multi-tenancy.​

 

H200 vs. upcoming GPUs like B200 or MI350?
H200 leads current benchmarks (9-10% over H100), but MI350 promises uplifts; test via Cyfuture Cloud pilots for your use case.​

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