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Data Center News > Blog > Global Market > AMD steps up AI competition with Instinct MI350 chips, rack-scale platform
Global Market

AMD steps up AI competition with Instinct MI350 chips, rack-scale platform

Last updated: June 13, 2025 9:14 am
Published June 13, 2025
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Different bulletins included ROCm 7, the newest model of AMD’s open-source AI software program stack, and the broad availability of its Developer Cloud, a totally managed platform geared toward accelerating high-performance AI improvement.

Openness and Nvidia problem

AMD underscored its dedication to open requirements and ecosystem collaboration, positioning itself in distinction to rival Nvidia, which relies upon closely on a proprietary software program stack.

“We’re getting into the subsequent part of AI, pushed by open requirements, shared innovation, and AMD’s increasing management throughout a broad ecosystem of {hardware} and software program companions who’re collaborating to outline the way forward for AI,” AMD’s chair and CEO, Lisa Su, stated within the assertion.

The announcement follows AMD’s latest acquisition of AI software program startup Brium, a deal the corporate stated introduced in deep experience to speed up the open-source instruments that energy its AI software program stack.

“Once you take a look at the specs, AMD’s MI355X is taped out on TSMC’s N3P course of, whereas Nvidia’s GB300 makes use of 4NP,” stated Neil Shah, vice chairman for analysis and companion at Counterpoint Analysis. “This offers AMD a course of node benefit in efficiency and energy effectivity, particularly in comparison with the Nvidia Blackwell GB200/B200.”

Nevertheless, components equivalent to reminiscence bandwidth, precision optimization, and software program framework help in the end decide coaching and inference efficiency.

“AMD excels at optimizations for larger precisions (FP64, FP32) the place it holds a bonus, however Nvidia is best optimized for decrease precisions (FP4, FP8),” Shah added. “AMD now matches Nvidia on core capabilities, permitting it to compete head-on, which may result in improved theoretical TCO.”

See also  Infrastructure as Code: Transforming Dynamic IT Operations

Nevertheless, AMD’s ROCm software program stack remains to be catching as much as Nvidia’s extra established CUDA ecosystem, which stays a key think about real-world efficiency and whole price of possession. Broader adoption will rely on how shortly AMD can slim this hole, although it continues to make regular progress with every technology.

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TAGGED: AMD, Chips, Competition, Instinct, MI350, Platform, RackScale, steps
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