De afgelopen paar jaar is er een ongekende vraag naar Artificial Intelligence (AI) ontstaan, waardoor de datacenterinfrastructuren die deze intelligentie moeten ondersteunen, een hoge vlucht hebben genomen. Nu verwacht wordt dat het gebruik van AI 10-15% van de totale infrastructuur van datacenters zal uitmaken, moeten bedrijven hun datacenterapparatuur optimaliseren voor prestaties en tegelijkertijd de toename van operationele kosten of de verdere impact op het milieu minimaliseren.

The past few years have been a rocky road for engineering workstation vendors. Though sales have been better than expected, customer demands shifted rapidly in response to pandemic IT requirements, followed by a post-pandemic requirements reshuffle.

At SC23, we spotted the new Supermicro 4U Universal GPU system. This is a liquid-cooled system designed for the densest deployments.

SiMa.ai today announced a new strategic partnership and integration with Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge.

Nvidia is the clear—and most obvious—beneficiary from the AI buildout but there are two other companies that are less well known to investors that should equally benefit in the year ahead.

在过去的几年中，人工智能（AI）的需求达到了前所未有的高峰，推动了支持其的数据中心基础设施的扩张.

By 2025, the cloud will store about 200 zettabytes (ZB) of data. To put this amount in perspective, the average file is around five megabytes each, and 200 ZB amounts to about 439.8 sextillion files.

As we pen this article, the NVIDIA H100 80GB PCIe is $32K at online retailers like CDW and is back-ordered for roughly six months.

Today we wanted to take a look at the liquid cooled Supermicro SYS-821GE-TNHR server.

Supermicro recently announced several new NVIDIA MGX systems, including the highly anticipated Supermicro ARS-111GL-NHR server featuring the upcoming NVIDIA GH200 Grace Hopper part.