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  2. High-performance computing - Wikipedia

    en.wikipedia.org/wiki/High-performance_computing

    High-performance computing (HPC) as a term arose after the term "supercomputing". [4] HPC is sometimes used as a synonym for supercomputing; but, in other contexts, "supercomputer" is used to refer to a more powerful subset of "high-performance computers", and the term "supercomputing" becomes a subset of "high-performance computing".

  3. Workstation - Wikipedia

    en.wikipedia.org/wiki/Workstation

    Modern workstations are typically desktop computers with AMD or NVIDIA GPUs to do high-performance computing on software programs such as video editing, 3D modeling, computer-aided design, and rendering. [32]

  4. MIPS architecture processors - Wikipedia

    en.wikipedia.org/wiki/MIPS_architecture_processors

    Silicon Graphics (SGI) refocused its business from desktop graphics workstations to the high-performance computing market in the early 1990s. The success of the company's first foray into server systems, the Challenge series based on the R4400 and R8000, and later R10000, motivated SGI to form a vastly more powerful system.

  5. Dell Redefines Workstation Computing Boundaries with Smallest Tower and Most Powerful Rack Workstations Offering powerful workstation performance at near desktop PC prices, the new Dell Precision ...

  6. Silicon Graphics - Wikipedia

    en.wikipedia.org/wiki/Silicon_Graphics

    High-performance computing, visualization and storage Silicon Graphics, Inc. (stylized as SiliconGraphics before 1999, later rebranded SGI , historically known as Silicon Graphics Computer Systems or SGCS ) was an American high-performance computing manufacturer, producing computer hardware and software .

  7. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    The DGX Superpod is a high performance turnkey supercomputer system provided by Nvidia using DGX hardware. [35] It combines DGX compute nodes with fast storage and high bandwidth networking to provide a solution to high demand machine learning workloads.

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