NVIDIA B100 SXM6 192GB HBM3e Datacenter GPU

The NVIDIA B100 SXM6 is a datacenter-class GPU built on the NVIDIA Blackwell architecture, designed to deliver extreme compute performance for the most demanding AI training, large-scale inference, and high-performance computing workloads. Featuring 192GB of HBM3e memory across a high-bandwidth memory subsystem, the B100 provides the memory capacity and bandwidth required to house and process massive AI models and datasets without frequent memory offloading, enabling researchers and engineers to iterate faster and at greater scale.

Deployed via the SXM6 form factor, the B100 integrates directly into NVIDIA's high-density server platforms and NVLink-based multi-GPU topologies, enabling tight GPU-to-GPU interconnect bandwidth that is essential for distributed training across thousands of parameters. The Blackwell architecture introduces fifth-generation NVLink, a second-generation Transformer Engine, and a new Reliability, Availability, and Serviceability (RAS) Engine purpose-built for large-scale fleet operations in enterprise and hyperscale datacenter environments.

With manufacturer part number 900-23001-0000-000, the NVIDIA B100 SXM6 192GB is positioned as a flagship compute accelerator for organizations running generative AI, foundation model development, scientific simulation, and data analytics pipelines at scale. Its combination of raw FP8/FP16/BF16 throughput, vast HBM3e capacity, and NVLink fabric connectivity makes it one of the most capable single-GPU building blocks available for enterprise AI infrastructure deployed across UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale generative AI and foundation model training requiring high memory capacity and sustained tensor throughput across multi-GPU clusters
• High-throughput LLM inference serving for enterprise AI platforms where low latency and high concurrency are critical operational requirements
• Scientific computing and numerical simulation workloads in fields such as computational fluid dynamics, molecular dynamics, and climate modeling
• Data analytics and in-database acceleration for enterprise platforms processing petabyte-scale structured and unstructured datasets
• Recommender system training and real-time feature processing for large e-commerce, fintech, and digital media organizations
• Multi-modal AI model development combining vision, language, and structured data modalities requiring unified high-bandwidth memory space

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.