Brand: Lenovo | Category: GPUs
SKU: 4XC7B01000 | Part #: 4XC7B01000 | MPN: 4XC7B01000
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The NVIDIA H200 SXM 141GB GPU Module is a next-generation accelerator designed for enterprise AI and high-performance computing workloads. This SXM-form-factor GPU delivers 141GB of HBM3e memory, enabling processing of large language models, retrieval-augmented generation systems, and complex machine learning inference at scale without memory bottlenecks. The H200 architecture provides enhanced tensor performance and memory bandwidth compared to prior generations, supporting both training and inference workflows across data centers.
Optimized for Lenovo ThinkSystem server integration, the H200 SXM module leverages PCIe 5.0 connectivity and is engineered for multi-GPU configurations in dense server environments. The accelerator supports standard CUDA, cuDNN, and NVIDIA software ecosystems, enabling rapid deployment within existing enterprise infrastructure and ML platforms.
| Manufacturer | Lenovo |
| Brand | NVIDIA |
| Model | H200 SXM |
| Manufacturer Part Number | 4XC7B01000 |
| Form Factor | SXM |
| Memory | 141GB HBM3e |
| Memory Bandwidth | 4.8 TB/s |
| GPU Memory Interface | HBM3e |
| NVIDIA Compute Capability | 9.0 |
| Peak FP8 Tensor Performance | 1,457 TFLOPS |
| Peak TF32 Tensor Performance | 728.5 TFLOPS |
| Peak FP64 Tensor Performance | 728.5 TFLOPS |
| Transformer Engine | Yes |
| Tensor Float 32 | Supported |
| PCIe Generation | PCIe 5.0 |
| Thermal Design Power | 700W |
| Multi-GPU Support | Yes, NVLink-enabled |
| CUDA Cores | 18,176 |
| Launch Quarter | Q3 2024 |
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| Brand | Lenovo |
| Category | GPUs |
| SKU | 4XC7B01000 |
| Part Number | 4XC7B01000 |
| Condition | New |
| Model | H200 SXM |
| Manufacturer Part Number | 4XC7B01000 |
| Form Factor | SXM |
| Memory | 141GB HBM3e |
| Memory Bandwidth | 4.8 TB/s |
| GPU Memory Interface | HBM3e |
| NVIDIA Compute Capability | 9.0 |
| Peak FP8 Tensor Performance | 1,457 TFLOPS |
| Peak TF32 Tensor Performance | 728.5 TFLOPS |
| Peak FP64 Tensor Performance | 728.5 TFLOPS |
| Transformer Engine | Yes |
| Tensor Float 32 | Supported |
| PCIe Generation | PCIe 5.0 |
| Thermal Design Power | 700W |
| Multi-GPU Support | Yes, NVLink-enabled |
| CUDA Cores | 18,176 |
| Launch Quarter | Q3 2024 |