NVIDIA DGX™ B200 is a unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink™, NVIDIA DGX B200 delivers 3X the training performance and 15X the inference performance of previous-generation ...

NVIDIA DGX B200 delivers a unified platform for training, fine-tuning and inferencing in a single solution optimized for enterprise AI workloads, powered by the NVIDIA Blackwell GPU.

Mar 18, 2024 · Nvidia says the new B200 GPU offers up to 20 petaflops of FP4 horsepower from its 208 billion transistors. Also, it says, a GB200 that combines two of those GPUs with a …

The B200 SXM 192 GB is a professional graphics card by NVIDIA, launched in 2024. Built on the 5 nm process, and based on the GB100 graphics processor, the card does not support DirectX.

Mar 18, 2024 · Nvidia revealed its upcoming Blackwell B200 GPU at GTC 2024, which will power the next generation of AI supercomputers and potentially more than quadruple the …

Mar 18, 2024 · The B200 modules that it will go into will feature two GPU dies on a single package. That’s right, NVIDIA has finally gone chiplet with their flagship accelerator.

Feb 19, 2025 · The NVIDIA DGX™ B200 System is the universal system purpose-built for all AI infrastructure and workloads from analytics to training to inference. The system is built on eight NVIDIA B200 Tensor Core GPUs.

Explore detailed specifications of the B200 from NVIDIA, like VRAM, and vCPU amount. Discover all on-demand and cluster opportunities for B200, with Cloud Provider and Pricing per GPU per hour associated.

Jan 27, 2025 · In the relentless race for supremacy in the graphics processing unit (GPU) market, Nvidia has once again taken center stage. Following the release of its previous architecture, Hopper, the tech giant has unveiled its groundbreaking Blackwell architecture, featuring the much-anticipated B200 GPU.

Configured with eight Blackwell GPUs, DGX B200 delivers unparalleled generative AI performance with a massive 1.4 terabytes (TB) of GPU memory and 64 terabytes per second (TB/s) of memory bandwidth, making it uniquely suited to handle any enterprise AI workload.