NVIDIA DGX 8x B300 2,100GB AI Server System
NVIDIA DGX B300 Deep Learning AI System, 8x B300 GPUs, 2100GB HBM3e, 72 petaFLOPS FP8 Performance, 3yr Std Support
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PNY NVIDIA DGX B300 AI Appliance with 3 Years Business Standard Support
The Ultimate AI Reasoning ApplianceThis sixth-generation DGX datacentre AI appliance is built around the Blackwell Ultra architecture and the flagship B300 accelerator, providing an 11x inference and 4x training performance increase over the previous generation. The DGX B300 includes eight 800Gb/s Connect-X8 Smart NICs and two Bluefield-3 DPUs for connecting to external storage, supported by the NVIDIA Base Command management suite and the NVIDIA AI Enterprise software stack, backed by specialist technical advice from NVIDIA DGXperts.
An AI Factory for the Era of Reasoning
For Inference and Training Built on NVIDIA Blackwell Ultra GPUs, the DGX B300 accelerates LLM training and inference with 144 petaFLOPS of performance, empowering enterprises to operate like a hyperscaler.
Efficient and Sustainable Innovation With multiple power options to choose from, the NVIDIA DGX B300 sets the benchmark for efficiency in AI supercomputing, maximising performance and energy savings per watt.
Revolutionary Infrastructure Standard Redesigned for modern data centres, the NVIDIA DGX B300 now fits NVIDIA MGX racks, setting a new standard for effortless, high-performance, energy-efficient deployment.
Accelerated AI with NVIDIA B300 GPUs
AI-Ready Software Stack NVIDIA Base Command powers the DGX systems, enabling organisations to leverage the best of NVIDIA software innovation. Enterprises can unleash the full potential of their DGX infrastructure with a proven platform that includes enterprise-grade orchestration and cluster management, libraries that accelerate compute, storage and network infrastructure, and an operating system optimised for AI workloads. This is further enhanced by NVIDIA AI Enterprise.
NVIDIA AI Enterprise NVIDIA AI Enterprise unlocks access to a wide range of frameworks that accelerate the development and deployment of AI projects. Leveraging pre-configured frameworks removes many of the manual tasks and complexity associated with software development, enabling you to deploy your AI models faster as each framework is tried, tested and optimised for NVIDIA GPUs. The less time spent developing, the greater the ROI on your AI hardware and data science investments.
Workload Management Run:ai software allows intelligent resource management and consumption so that users can easily access GPU fractions, multiple GPUs or clusters of servers for workloads of every size and stage of the AI lifecycle. This ensures that all available compute can be utilised and GPUs never have to sit idle. Run:ai’s scheduler is a simple plug-in for Kubernetes clusters and adds high-performance orchestration to your containerised AI workloads.
NVIDIA BasePOD & SuperPOD
DGX BasePOD and SuperPOD are NVIDIA reference architectures based around a specific infrastructure kit list that Scan can configure and deploy into your organisation to deliver AI at scale.
PODs start as small as 20 DGX nodes, scaling all the way to 140 nodes, managed by a comprehensive software stack to form a complete cluster.
A New Era of Performance
GPU:8x NVIDIA B300 288GB – 2.3TB total
CPU:2x Intel Xeon Platinum
RAM:TBC
System Drives:TBC
Storage Drives:TBC
Networking:8x 800Gb/s NVIDIA ConnectX-8 InfiniBand/Ethernet and 2x 800Gb/s NVIDIA Bluefield-3 DPUs InfiniBand/Ethernet
Power:TBC
Form Factor:10U
*With sparsity
** With sparsity | without sparsity
Find out more: NVIDIA DGX B300
