AMD takes on Nvidia with its Helios AI rack-scale system
AMD is challenging its chipmaker rival with a new rack-scale system that will start shipping to customers later this year.
Chipmaker AMD is taking aim at competitor Nvidia with its latest hardware release: a rack-scale system designed to power computing needs of the world’s largest AI labs.
At the company’s sold-out Advancing AI conference in San Francisco on Thursday, AMD Chair and CEO Dr. Lisa Su promoted the new AI rack system known as Helios — along with its growing list of customers, including Microsoft — as the company prepares to ship it later this year. Su also pitched the company’s newest chips that are designed to feed the compute-hungry dragon that is the AI industry.
Rack systems combine many processors into a single high-powered unit . They are built for data centers, where they train and run AI models and other compute-intensive workloads.
Su called Helios the tech industry’s “highest-performance AI rack,” adding that it was “built to train and run the most demanding frontier models in the world at massive scale.” The system will be deployed by leading AI companies at gigawatt-scale, the company said.
Nvidia has historically dominated this market with its Vera Rubin and Grace Blackwell rack-scale systems. AMD is clearly looking to get in on the action. And Helios’ performance metrics appear to give it a real chance, beating out Vera Rubin by a number of metrics, The Register reported .
Helios, which was revealed in 2025 and shown onstage in January at CES 2026, already has several well-known customers, including OpenAI, Meta, Oracle, Anthropic, and Microsoft, all of which have plans to deploy the system. Microsoft CEO Satya Nadella said Monday that the company would expand its Azure infrastructure with Helios. Meanwhile, Anthropic and AMD announced a strategic partnership Wednesday to deploy up to two gigawatts of GPUs via the new rack system.
AMD also introduced Thursday its Venice-X CPU, which is designed for data centers and to handle high-computing workloads. The Venice-X is expected to launch in 2027.
During her remarks, Su commented on the trajectory of the chip industry, claiming that, by the year 2030, chips that power AI will become a massive part of the overall computing market. This is because the industry is “seeing a step change in compute demand” driven largely by the rise of agentic AI, she said.
“When you ask the agent to do something, it actually has dozens of steps, and it has to reason, and it has to call tools, and it has to access data, and it has to keep doing it over and over until it solves the problem, and so you need lots of GPUs to do all that,” the executive said.
“We’re now expecting that by 2030, the AI accelerator market is going to reach about $1.4 trillion,” Su said. “What that means is, by the end of the decade, the AI accelerator market is going to approach the size of the entire semiconductor market today.”
“We do expect that GPUs are going to make up the vast majority of that market because the algorithms are still very much in their infancy, and we’re still continuing to see the workloads change, and that favors programmability in the overall silicon ecosystem,” she added.
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Pontos-chave
- A introdução do Helios pela AMD pode democratizar o acesso a hardware de IA no Brasil.
- Parcerias com empresas como Microsoft podem impulsionar a adoção de IA em empresas brasileiras.
- O processador Venice-X promete atender a crescente demanda por soluções de computação em nuvem.
Análise editorial
A introdução do sistema Helios pela AMD representa um movimento estratégico significativo no competitivo mercado de hardware para inteligência artificial, especialmente em um momento em que a demanda por processamento de dados está em ascensão. Para o setor tecnológico brasileiro, isso pode significar uma oportunidade de crescimento, uma vez que empresas locais que atuam em IA podem se beneficiar de soluções mais acessíveis e potentes, permitindo o desenvolvimento de aplicações mais complexas e eficientes. A AMD, ao desafiar a Nvidia, também pode incentivar uma maior inovação e competitividade no mercado, o que é benéfico para o ecossistema como um todo.
Além disso, a parceria da AMD com gigantes como Microsoft e Anthropic sugere que o Brasil, que abriga várias startups e empresas de tecnologia em crescimento, pode se tornar um campo fértil para a implementação dessas novas tecnologias. A expansão da infraestrutura de nuvem da Microsoft com o Helios pode abrir portas para empresas brasileiras que buscam escalar suas operações de IA, permitindo que desenvolvam soluções mais robustas e escaláveis.
O anúncio do novo processador Venice-X também é relevante, pois indica que a AMD está comprometida em atender às necessidades de um mercado em rápida evolução. Para o Brasil, onde a digitalização e a transformação digital estão em alta, a introdução de hardware mais potente pode acelerar a adoção de IA em diversos setores, desde saúde até agronegócio. É importante observar como as empresas brasileiras irão reagir a essas inovações e se conseguirão integrar essas tecnologias em suas operações.
Por fim, a afirmação de Lisa Su sobre a crescente demanda por chips de IA até 2030 destaca a necessidade de um foco contínuo em pesquisa e desenvolvimento, tanto por parte das empresas locais quanto do governo. O Brasil precisa investir em capacitação e infraestrutura para não ficar para trás nessa corrida tecnológica, garantindo que o país possa competir em um cenário global cada vez mais dominado pela inteligência artificial.
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Fonte original:
TechCrunch AISobre 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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