NVIDIA H200 NVL 141GB HBM3e PCIe Datacenter GPU

Brand: NVIDIA | Category: GPUs

SKU: 900-21001-0030-000 | Part #: 900-21001-0030-000 | MPN: 900-21001-0030-000

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PCIe Gen5 x16 connectivity and 700W thermal design power determine server chassis and PSU compatibility—critical specifications for any AI infrastructure team planning large-scale deployments. The NVIDIA H200 NVL 141GB HBM3e PCIe Datacenter GPU (part number 900-21001-0030-000) combines massive on-GPU memory with exceptional bandwidth to accelerate the most demanding workloads in modern datacenters. Built on the NVIDIA Hopper architecture with 4th Generation Tensor Cores, this passive-cooled accelerator delivers sparse tensor performance up to 3,958 TFLOPS in FP8 precision, enabling rapid iteration on large language models and generative AI applications.

The H200's 141 GB HBM3e memory and 4.8 TB/s bandwidth dramatically reduce data movement bottlenecks, while Third-Generation NVLink provides 900 GB/s bidirectional connectivity for multi-GPU scaling. NVIDIA's support for FP8, FP16, BF16, TF32, FP64, and INT8 precisions ensures flexibility across training, inference, and scientific computing tasks. ECC memory and Multi-Instance GPU (MIG) capability add enterprise-grade reliability and resource isolation. This PCIe Add-In Card runs on NVIDIA's datacenter driver stack under Linux, integrating seamlessly into existing GPU-accelerated clusters. The part number 900-21001-0030-000 is the definitive SKU for procurement.

Enterprise Deployment Scenarios

• Large language model fine-tuning and inference at scale, leveraging 141 GB memory for inference without model sharding
• Generative AI workloads requiring high-throughput sparse tensor operations and sustained FP8 precision compute
• Multi-tenant AI clusters using MIG to partition GPU resources for concurrent model serving and development
• Scientific computing and simulation requiring FP64 double-precision calculations with ECC memory protection
• High-performance datacenters with existing PCIe Gen5 infrastructure seeking drop-in GPU acceleration

For pricing, availability, and integration support, contact Omnixon Global via RFQ.