AMD steps up AI competitors with Intuition MI350 chips, rack-scale platform

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AMD steps up AI competitors with Intuition MI350 chips, rack-scale platform



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 completely 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 coming into the following section 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, mentioned within the assertion.

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

“Whenever 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,” mentioned Neil Shah, vp for analysis and accomplice at Counterpoint Analysis. “This provides AMD a course of node benefit in efficiency and energy effectivity, particularly in comparison with the Nvidia Blackwell GB200/B200.”

Nonetheless, elements equivalent to reminiscence bandwidth, precision optimization, and software program framework help finally decide coaching and inference efficiency.

“AMD excels at optimizations for greater precisions (FP64, FP32) the place it holds a bonus, however Nvidia is healthier 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.”

Nonetheless, AMD’s ROCm software program stack continues to be catching as much as Nvidia’s extra established CUDA ecosystem, which stays a key think about real-world efficiency and complete price of possession. Broader adoption will depend upon how shortly AMD can slender this hole, although it continues to make regular progress with every era.

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