AMD introduces the new Instant MI350 Series GPU accelerators, the ROCm 7 software development platform for the Instinct accelerators, and the Helios Rack AI platform.
Today, AMD held its Advancing AI event in San Jose, California. This year’s event centered around the launch of the new Instinct MI350 series GPU accelerators for servers, advances to the company’s ROCm software development platform for the Instinct accelerators, and AMD ’s data center system roadmap.
Disclosure: My company, Tirias Research, has consulted for AMD and other companies mentioned in this article.First up is the latest in the Instinct product line, the MI350 and MI355X. Like its main competitor in the AI segment, AMD has committed to an annual cadence for new server AI accelerators. The MI350 and MI355X are the latest and are based on the new CDNA 4 architecture.
According to AMD, the MI350 series of GPU accelerators provides approximately a 3x improvement in both AI training and inference over the previous MI300 generation, with competitive performance equal to or better than the competition on select AI models and workloads.Structurally, the MI350 series is similar to the previous MI300 generation, utilizing 3D hybrid bonding to stack an Infinity Fabric die, two I/O dies, and eight compute dies on top of a silicon interposer.
Additionally, an A-list of partners and customers joined AMD at Advancing AI, including Astera Labs, Cohere, Humain, Meta, Marvell, Microsoft, OpenAI, Oracle, Red Hat, and xAI. Humain was the most interesting because of its joint venture with AMD and other silicon vendors to build an AI infrastructure in Saudi Arabia. Humain has already begun the construction of eleven data centers with plans to add 50MW modules every quarter.
There is much more detail behind these and the extensive list of partnership announcements, but these three underscore AMD’s dedication to remaining competitive in data center AI solutions, demonstrate its consistent execution, and reinforce its position as a viable alternative provider of data center GPU accelerators and AI platforms. As the tech industry struggles to meet the demand for AI, AMD continues to enhance its server platforms to meet the needs of AI developers and workloads.
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