NVIDIA Blackwell B200 GPU

Enterprise-grade ai gpus for AI and data centre deployments
£35,000.00
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The NVIDIA Blackwell B200 GPU is a next-generation, hyperscale data centre accelerator engineered specifically for generative AI, multi-trillion-parameter large language model (LLM) training, and massive-scale inference workloads. Built using a custom-tailored, high-density semiconductor manufacturing process, it introduces a dual-die architecture that treats two distinct pieces of silicon as a single, unified processor. This design bypasses traditional physical chip layout limitations to maximize computational density and data throughput.
Product Overview and Layout
The accelerator moves away from traditional monolithic single-chip designs to deploy a cohesive multi-die package. It integrates two fully featured GPU dies over a ultra-high-speed internal fabric that enables 10 terabytes per second of bidirectional bandwidth between the two silicon structures. To the operating system and developer software pipelines, the module functions entirely as one unified processor. This removes internal communication latency and allows large-scale operations to execute seamlessly across the entire layout. The product packs 208 billion transistors within its physical boundary, enabling unprecedented parallel processing capabilities.
Advanced Memory Infrastructure
The chip is equipped with 192 gigabytes of high-bandwidth memory (HBM3e). This memory configuration delivers up to 8.0 terabytes per second of raw memory bandwidth. The massive capacity and speed allow enterprise infrastructure to keep entire generative AI models resident in local GPU memory. This drastically reduces the need to frequently swap model parameters to system RAM, eliminating severe performance bottlenecks during complex processing cycles.
Computation and Precision Innovations
  • Multi-Precision Computing Engine: Features a secondary transformer engine capable of dynamically adapting mathematical precision formats. It introduces native hardware support for ultra-dense 4-bit floating-point (FP4) formats.
  • Throughput Optimization: The utilization of lower-bit mathematical precisions allows the GPU to double its processing capacity and model throughput compared to older 8-bit standards, delivering up to 20 petaflops of compute from a single chip structure.
  • Hardware Decompression Support: Includes a dedicated, onboard hardware decompression engine. This system offloads heavy data-unpacking tasks directly from the main CPU, accelerating data analytics and speeding up the transfer of vast training datasets from high-speed storage arrays directly into the GPU core.
Scalability and High-Speed Interconnects
For large-scale cluster deployments, the chip utilizes a fifth-generation high-speed interconnect system. This framework delivers a bidirectional bandwidth of 1.8 terabytes per second per individual GPU. The high interconnect speed allows hundreds of individual processors to link together into a single, massive coherent memory pool, functioning efficiently as one collective supercomputer grid for enterprise training facilities.
Power and Thermal Management
The accelerator is a heavy-duty data centre hardware component with a peak thermal design power (TDP) rating of up to 1,000 Watts. Due to the high heat generation and power density, it lacks standard desktop cooling structures. Instead, it is built to be integrated into specialized enterprise server rack frames that employ dedicated liquid-cooling loops or high-velocity, high-static-pressure air-chassis systems.
  • Model: Blackwell B200

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