NVIDIA AI H200 GPU

Description

NVIDIA H200 Tensor Core GPU , the successor to the H100, optimized for  AI, HPC, and large-scale data center workloads :

NVIDIA H200 Key Specifications
Feature               Specification
———————————————————————————————————–
Architecture          Hopper (Refresh, same as H100 but with  HBM3e memory )
GPU Die               GH100 (TSMC 4N process)
FP32 Performance      ~67 TFLOPS (similar to H100)
Tensor Cores          4th-gen (Hopper), supports  FP8, TF32, FP64
Memory                141GB HBM3e  (up from 80GB HBM3 in H100)
Memory Bandwidth      4.8 TB/s  (vs. 3.35 TB/s on H100) –  50% faster
Memory Interface     5120-bit (same as H100 but upgraded to HBM3e)
NVLink 4.0            900 GB/s  (same as H100, scales to 8 GPUs)
PCIe Version          Gen5 x16  (128 GB/s bidirectional)
TDP                   700W  (SXM5 version) /  350W-400W  (PCIe version)
Form Factors          SXM5  (for HGX/DGX servers) /  PCIe 5.0  (standard servers)
LLM Performance       2x faster than H100  in inference (e.g., Llama2-70B, GPT-4 scale models)

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*  Key Improvements Over H100
1.  HBM3e Memory
–  141GB capacity  (vs. 80GB on H100) → Handles  larger AI models  without CPU offloading.
–  4.8 TB/s bandwidth  (vs. 3.35 TB/s) → Reduces bottlenecks in memory-heavy workloads.

2.  Optimized for LLM Inference
– Benchmarks show  2x throughput  vs. H100 for models like  Llama2-70B  and  GPT-4 .
– Better  context window handling  (e.g., 128k+ tokens).

3.  Backward Compatibility
– Works in  existing HGX H100 systems  (no hardware changes needed).
– Same  SXM5/PCIe 5.0  form factors as H100.

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Use Cases
–  Large Language Models (LLMs) : GPT-4, Gemini, Claude-scale training/inference.
–  HPC : Climate modeling, quantum simulation.
–  Recommendation Systems : Real-time AI for hyperscalers (AWS, Azure, Google Cloud).

* H200 vs. H100 vs. H100 NVL
Feature       H200       H100       H100 NVL    |
|——————-|—————|—————|—————-|
Memory        | 141GB HBM3e   | 80GB HBM3     | 188GB HBM3     |
Bandwidth     | 4.8 TB/s      | 3.35 TB/s     | 3.35 TB/s      |
NVLink        | 900 GB/s      | 900 GB/s      | 1.8 TB/s*      |
Best For      | LLM Inference | General AI    | Giant LLMs     |

*(H100 NVL has dual-GPU NVLink but slower memory bandwidth per GPU.)*