NVIDIA HPC : Accelerating the rate of scientific discovery

High-performance computing (HPC) is a powerful technology that helps scientists and researchers make groundbreaking discoveries. It plays a key role in everything from predicting the weather and exploring new energy sources to studying diseases and improving healthcare. By combining advanced simulations with artificial intelligence, machine learning, and big data, HPC allows experts to tackle complex problems and better understand the world around us.

Enterprise AI, Redefined

The NVIDIA DGX™ platform is designed specifically for businesses looking to harness the power of artificial intelligence. It seamlessly integrates NVIDIA’s cutting-edge software, advanced infrastructure, and industry expertise into a unified solution, making AI development more efficient and accessible.

Why Choose DGX?

• The Ultimate AI Development PlatformBoost efficiency with a seamlessly integrated AI hardware and software solution. The DGX infrastructure, powered by NVIDIA AI Enterprise, is designed to optimize data science workflows and simplify the development and deployment of high-performance AI applications.
• Powered by NVIDIA AI ExpertiseLeverage the full potential of NVIDIA’s cutting-edge software and hardware in a single, unified platform. Gain direct access to NVIDIA DGXperts, who can help fine-tune your AI workloads for faster performance and greater returns on investment.
• Flexible, High-Performance AI InfrastructureHarness the power of DGX in a way that suits your business needs—whether on-premises, through co-location, via managed service providers, or within private cloud environments. Experience world-class AI infrastructure, tailored to your requirements.

DGX B200

The NVIDIA DGX™ B200 is a unified AI platform designed to support businesses at any stage of their AI journey, from development to deployment. Powered by eight NVIDIA Blackwell GPUs with fifth-generation NVLink®, it delivers up to 3X faster training and 15X better inference performance than previous models. With its advanced architecture, DGX B200 efficiently handles large-scale AI workloads like language models, recommender systems, and chatbots, accelerating AI transformation for businesses.

DGX H200

Push the boundaries of business innovation and efficiency with the NVIDIA DGX™ H200. As a key component of the DGX platform, it serves as the AI engine behind NVIDIA DGX SuperPOD™ and DGX BasePOD™, powered by the cutting-edge performance of the NVIDIA H200 Tensor Core GPU.

SuperPOD with DGX GB200 Systems

NVIDIA DGX SuperPOD™ with DGX GB200 systems is specifically designed for training and inferencing massive generative AI models with trillions of parameters. Each liquid-cooled rack houses 36 NVIDIA GB200 Grace Blackwell Superchips, comprising 36 Grace CPUs and 72 Blackwell GPUs, all interconnected through NVIDIA NVLink. For large-scale deployments, multiple racks can be linked via NVIDIA Quantum InfiniBand, enabling expansion to hundreds of thousands of GB200 Superchips.

Designing AI Graph Processors, high-performance RISC-V CPUs and configurable chiplets that run the robust software stack. With the team of experts in computer architecture, ASIC design, advanced systems, and neural network compilers collaborates to create the next generation of cutting-edge computing technology.

Ultra-Quiet Performance for Workspaces

Designed for remote workers and office environments, the TT-QuietBox operates whisper-quiet, ensuring a distraction-free experience.

The TT-QuietBox Liquid-Cooled Desktop Workstation is an ideal solution for developers working on AI models, testing machine learning applications, or optimizing libraries for high-performance computing (HPC).

Equipped with four Tenstorrent Wormhole™ cards, featuring a total of eight Wormhole™ Tensix Processors, the TT-QuietBox leverages a scalable Ethernet-based mesh topology, allowing expansion up to a 96GB memory pool. This enables seamless execution of large-scale AI models—handling single-user models up to 80 billion parameters and multi-user, multi-model workloads up to 20 billion parameters.

For development flexibility, TT-QuietBox supports two open-source SDKs: TT-Buda™ for high-level programming and TT-Metalium™ for low-level optimization.

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