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INPI Technology Consulting
  • Home
  • AI & HPC Solutions
    • All Solutions
    • NVIDIA Solutions
    • GPU Systems & Clusters
    • NeuraBox
    • AI & HPC Storage
  • Systems
    • AI PCs & Workstations
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    • Edge Devices
  • Consulting
    • AI Expert HPC Consulting
  • About Us
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NVIDIa HGX BLACKWELL

AI, complex simulations, and large-scale datasets demand the use of multiple GPUs connected through ultra-high-speed interconnects, supported by a fully accelerated software stack. The NVIDIA HGX™ platform unifies the performance of NVIDIA GPUs, NVLink™, high-speed networking, and optimized software for AI and high-per

NVIDIA HGX BLACKWELL

NVIDIA HGX B300

NVIDIA HGX B300

NVIDIA HGX B300

The HGX B300 is the flagship of NVIDIA’s Blackwell platform, combining cutting-edge GPU and CPU technologies to tackle the most demanding AI workloads at scale. It integrates eight NVIDIA Blackwell B200 GPUs tightly coupled with two Grace Blackwell CPUs via high-bandwidth NVLink-Chip2Chip interconnects, delivering a unified architecture with unprecedented compute and memory capacity.

 

  • Optimized for trillion-parameter foundation models, multi-modal AI, and real-time inference.


  • Fully supported by the NVIDIA AI Enterprise software suite including NeMo, TensorRT-LLM, and CUDA
     
  • Designed for deployment in AI factories, DGX SuperPODs, and hyperscale environments

 

  • Up to 1.5TB of unified memory (combining GPU HBM and CPU LPDDR5X)
     

The HGX B300 sets a new benchmark in AI infrastructure, enabling breakthroughs in large-scale model training, inference, and AI-driven scientific research with superior efficiency and scalability.

NVIDIA HGX B200

NVIDIA HGX B300

NVIDIA HGX B300

The HGX B200 is part of NVIDIA’s Blackwell platform, purpose-built to power the next wave of large-scale AI, including trillion-parameter models, generative AI, and high-performance computing. It integrates eight NVIDIA Blackwell B200 GPUs connected via 4th-generation NVLink® and NVSwitch, delivering exceptional compute density, efficiency, and scalability.

 

  • Designed for multi-GPU training, inference, and RAG workloads
     
  • Fully compatible with NVIDIA AI Enterprise, including NeMo, CUDA, and TensorRT-LLM
     
  • Scalable into large AI infrastructures like DGX SuperPOD


  •  Optimized for FP8/FP6 precision and advanced Transformer Engine performance 


  •  Up to 1.4TB of total GPU memory 


The HGX B200 enables organizations to accelerate innovation, reduce time to insight, and support next-gen AI applications with unmatched performance per watt and per rack.

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