{"id":1027990,"date":"2024-02-19T02:47:53","date_gmt":"2024-02-19T07:47:53","guid":{"rendered":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/report-nvidia-forms-custom-chip-unit-for-cloud-computing-and-more-anandtech.php"},"modified":"2024-02-19T02:47:53","modified_gmt":"2024-02-19T07:47:53","slug":"report-nvidia-forms-custom-chip-unit-for-cloud-computing-and-more-anandtech","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/cloud-computing\/report-nvidia-forms-custom-chip-unit-for-cloud-computing-and-more-anandtech.php","title":{"rendered":"Report: NVIDIA Forms Custom Chip Unit for Cloud Computing and More &#8211; AnandTech"},"content":{"rendered":"<p><p>    With its highly successful A100 and H100 processors for    artificial intelligence (AI) and high-performance computing    (HPC) applications, NVIDIA dominates AI datacenter deployments    these days. But among large cloud service providers as well as    emerging devices like software defined vehicles (SDVs) there is    a global trend towards custom silicon. And, according to a    report from     Reuters, NVIDIA is putting together a new business unit to    take on the custom chip market.  <\/p>\n<p>    The new business unit will reportedly be led by vice president    Dina McKinney, who has a wealth of experience from working at    AMD, Marvell, and Qualcomm. The new division aims to address a    wide range of sectors including automotive, gaming consoles,    data centers, telecom, and others that could benefit from    tailored silicon solutions. Although NVIDIA has not officially    acknowledged the creation of this division, McKinneys LinkedIn    profile as VP of Silicon Engineering reveals her involvement in    developing silicon for 'cloud, 5G, gaming, and automotive,'    hinting at the broad scope of her alleged business division.  <\/p>\n<p>    Nine unofficial sources across the industry confirmed to    Reuters the existence of the division, but NVIDIA has    remained tight-lipped, only discussing its 2022 announcement    regarding implementation of its networking technologies into    third-party solutions. According to Reuters, NVIDIA    has initiated discussions with leading tech companies,    including Amazon, Meta, Microsoft, Google, and OpenAI, to    investigate the potential for developing custom chips. This    hints that NVIDIA intends to extend its offerings beyond the    conventional off-the-shelf datacenter and gaming products,    embracing the growing trend towards customized silicon    solutions.  <\/p>\n<p>    While using NVIDIA's A100 and H100 processors for AI and    high-performance computing (HPC) instances, major cloud service    providers (CSPs) like Amazon Web Services, Google, and    Microsoft are also advancing their custom processors to meet    specific AI and general computing needs. This strategy enables    them to cut costs as well as tailor capabilities and power    consumption of their hardware to their particular needs. As a    result, while NVIDIA's AI and HPC GPUs remain indispensable for    many applications, an increasing portion of workloads now run    on custom-designed silicon, which means lost business    opportunities for NVIDIA. This shift towards bespoke silicon    solutions is widespread and the market is expanding quickly.    Essentially, instead of fighting custom silicon trend, NVIDIA    wants to join it.  <\/p>\n<p>    Meanwhile, analysts are painting the possibility of an even    bigger picture. Well-known GPU industry observer Jon Peddie Research notes that    they believe that NVIDIA may be interested in addressing not    only CSPs with datacenter offerings, but also consumer market    due to huge volumes.  <\/p>\n<p>    \"NVIDIA made their loyal fan base in the consumer market which    enabled them to establish the brand and develop ever more    powerful processors that could then be used as compute    accelerators,\" said JPR's president Jon Peddie. \"But the    company has made its fortune in the deep-pocked datacenter    market where mission-critical projects see the cost of silicon    as trivial to the overall objective. The consumer side gives    NVIDIA the economy of scale so they can apply enormous    resources to developing chips and the software infrastructure    around those chips. It is not just CUDA, but a vast library of    software tools and libraries.\"  <\/p>\n<p>    Back in mid-2010s NVIDIA tried to address smartphones and    tablets with its Tegra SoCs, but without much success. However,    the company managed to secure a spot in supplying the    application processor for the highly-successful Nintendo Switch    console, and certainly would like expand this business. The    consumer business allows NVIDIA to design a chip and then sell    it to one client for many years without changing its design,    amortizing the high costs of development over many millions of    chips.  <\/p>\n<p>    \"NVIDIA is of course interested in expanding its footprint in    consoles  right now they are supplying the biggest selling    console supplier, and are calling on Microsoft and Sony every    week to try and get back in,\" Peddie said. \"NVIDIA was in the    first Xbox, and in PlayStation 3. But AMD has a    cost-performance advantage with their APUs, which NVIDIA hopes    to match with Grace. And since Windows runs on Arm, NVIDIA has    a shot at Microsoft. Sony's custom OS would not be much of a    challenge for NVIDIA.\"  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See more here:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.anandtech.com\/show\/21263\/report-nvidia-custom-chip-unit-for-cloud-computing-and-more\" title=\"Report: NVIDIA Forms Custom Chip Unit for Cloud Computing and More - AnandTech\">Report: NVIDIA Forms Custom Chip Unit for Cloud Computing and More - AnandTech<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> With its highly successful A100 and H100 processors for artificial intelligence (AI) and high-performance computing (HPC) applications, NVIDIA dominates AI datacenter deployments these days.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/cloud-computing\/report-nvidia-forms-custom-chip-unit-for-cloud-computing-and-more-anandtech.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[494695],"tags":[],"class_list":["post-1027990","post","type-post","status-publish","format-standard","hentry","category-cloud-computing"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1027990"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=1027990"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1027990\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=1027990"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=1027990"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=1027990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}