Cloud Computing

Amazon hopes to challenge Nvidia more directly by selling its AI chips

Publicado porRedacao AIDaily
4 min de leitura
Autor na fonte original: Julie Bort

AWS is in talks to sell its chips to other data centers. CEO Andy Jassy has said this represents a $50 billion opportunity for the company.

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If Amazon Web Services has its way, the cloud giant is going to push even deeper into Nvidia’s market, in what might be one of the biggest challenges to Nvidia’s AI chip dominance we’ve seen so far.

Amazon’s AI chief Peter DeSantis told Bloomberg that AWS is in talks to sell its AI chip Trainium to other companies for use in data centers. DeSantis declined to specify which companies could be the buyers of these chips.

Such talk about selling chips is in the early stages, the company tells TechCrunch. They stem from Amazon CEO Andy Jassy’s annual shareholder letter in early April, in which he said the company’s homegrown AI chips were so coveted that he was thinking about selling them:

If our chips business was a standalone business, and sold chips produced this year to AWS and other third parties (as other leading chips companies do), our annual run rate would be ~$50 billion. There’s so much demand for our chips that it’s quite possible we’ll sell racks of them to third parties in the future.

How much of a challenge could Amazon be to Nvidia? A $50 billion competitor wouldn’t exactly tank Nvidia — which is currently on a $326 billion revenue run rate — if it keeps delivering quarters like the last one . But it’s akin to Intel’s annual revenue .

AWS has so far resisted selling its AI chips for a lot of reasons. The biggest is that the money AWS actually makes on its chips is a waterfall effect. Sure, it charges customers directly for the AI tokens those chips process on its cloud, but it also gets to charge for a host of other services companies need for their AI apps, including storage, security, networking, and monitoring services.

Equally important, Amazon has touted the capacity of its chips has been selling out faster than it can produce them. In that same shareholder letter in April, Jassy said the current Trainium chip capacity had sold out almost instantly. So, too, he said, had the capacity for the next one, Trainium4, which won’t even be available for more than a year. This was before AWS formally added OpenAI to the models it was serving up .

So selling its chips to others means it would likely have to leave current customers on waiting lists, unless it could somehow manufacture a surplus of chips through its manufacturing partners such as TSMC. But it would have to miraculously elbow Nvidia out of the way to do that with TSMC, which has recently supplanted Apple to become the foundry’s largest customer.

AWS spokesperson Doron Aronson ( who hosted me during a recent private tour of the AWS chip design facility ) also confirmed that AWS may sell these chips. “While we’ve historically declined requests to sell chips directly, Andy noted it’s quite possible we’ll sell racks of them to third parties in the future.”

So while Nvidia’s founder and CEO Jensen Huang recently declared that he’s found a brand-new $200 billion market for Nvidia in selling CPUs for AI, not just GPUs — thereby moving into Intel and AMD territory — Jassy clearly has his own chip ambitions: a $50 billion market that would put elbow more directly into Nvidia’s world.

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Pontos-chave

  • A entrada da Amazon no mercado de chips de IA pode aumentar a concorrência e reduzir preços para empresas brasileiras.
  • A capacidade de produção e distribuição da Amazon será crucial para atender à demanda interna e externa sem prejudicar clientes atuais.
  • Colaborações entre empresas brasileiras e a Amazon podem acelerar a transformação digital em diversos setores.

Análise editorial

A movimentação da Amazon em direção à venda de seus chips de IA, como o Trainium, representa uma mudança significativa no cenário competitivo de tecnologia, especialmente no que diz respeito ao mercado de inteligência artificial. Para o setor de tecnologia brasileiro, isso pode abrir novas oportunidades, uma vez que empresas locais que utilizam serviços de nuvem podem se beneficiar de uma maior concorrência entre provedores. A entrada da Amazon nesse espaço pode forçar a Nvidia a inovar ainda mais, o que pode resultar em uma diminuição de preços e um aumento na acessibilidade de tecnologias avançadas para startups e empresas em crescimento no Brasil.

Além disso, a capacidade da Amazon de vender seus chips pode impactar o ecossistema de startups que dependem de serviços de nuvem para desenvolver suas soluções de IA. Se a Amazon conseguir equilibrar a demanda interna e externa, isso pode significar um acesso mais amplo a hardware de alto desempenho, permitindo que novas empresas entrem no mercado com soluções mais robustas. Contudo, a Amazon terá que gerenciar cuidadosamente sua produção para não deixar seus clientes atuais em espera, o que poderia prejudicar sua reputação e a confiança no AWS.

O que observar a seguir é como a Amazon lidará com a produção e a distribuição de seus chips. A parceria com fabricantes como a TSMC será crucial, especialmente considerando a atual demanda e a capacidade de produção. Para o Brasil, isso pode significar uma oportunidade de colaboração com empresas de tecnologia que buscam integrar soluções de IA em seus produtos, potencialmente acelerando a transformação digital em diversos setores. Além disso, a resposta da Nvidia e de outras empresas do setor será um ponto crítico a ser acompanhado, pois pode moldar o futuro da competição em IA e hardware no Brasil e no mundo.

O que esta cobertura entrega

  • Atribuicao clara de fonte com link para a publicacao original.
  • Enquadramento editorial sobre relevancia, impacto e proximos desdobramentos.
  • Revisao de legibilidade, contexto e duplicacao antes da publicacao.

Fonte original:

TechCrunch AI

Sobre este artigo

Este artigo foi curado e publicado pelo AIDaily como parte da nossa cobertura editorial sobre desenvolvimentos em inteligência artificial. O conteúdo é baseado na fonte original citada abaixo, enriquecido com contexto e análise editorial. Ferramentas automatizadas podem auxiliar tradução e estruturação inicial, mas a decisão de publicar, a revisão factual e o enquadramento de contexto seguem responsabilidade editorial.

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