AMD Unveils Threadripper Halo Station to Challenge Nvidia
AMD showed off a liquid-cooled workstation at IFA 2026 that it says can run AI models with more than a trillion parameters locally, without a cloud connection.
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Every AI News story tagged with both AMD and AI Hardware — the two topics side by side, updated as new articles publish.
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AMD showed off a liquid-cooled workstation at IFA 2026 that it says can run AI models with more than a trillion parameters locally, without a cloud connection.
Read more →Cerebras unveiled its CS-4 rack-scale AI system on August 18, pairing three new wafer-scale chips to push inference speeds it says beat GPU-based servers by up to 30 times.
Read more →AMD has agreed to acquire Taalas, a Toronto startup that etches AI models directly into silicon, aiming to boost inference speed and efficiency across its chip lineup.
Read more →Disaggregated inference splits an AI model's two work stages onto separate chips built for each job — a technique now expanding beyond Nvidia to AMD and Cerebras hardware.
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FPGAs are chips that can be rewired after manufacturing. Here's what that means, how they compare to GPUs and ASICs, and why AI and robotics hardware increasingly relies on them.
Read more →AMD launched a Kria AI system-on-module and robotics developer platform for physical AI, claiming faster real-time control than Nvidia's Jetson Thor chips.
Read more →AMD will invest up to $5 billion in Anthropic and supply as much as 2 gigawatts of Instinct MI450 GPUs, one of the chipmaker's biggest moves yet against Nvidia.
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AMD Instinct is AMD's line of data-center GPUs built to train and run AI models — the main hardware challenger to Nvidia's dominance in AI computing.
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AMD unveiled its Instinct MI400 AI chips and Helios rack systems on July 23, claiming 34x faster inference, with OpenAI, Meta and Anthropic on hand.
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