Taalas technology will join AMD's AI roadmap.
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Advanced Micro Devices (NASDAQ:AMD) said Thursday it will acquire Taalas, a Toronto startup that hardwires entire AI models directly into silicon, for an undisclosed amount. The deal targets inference, the business of running trained models, which AMD projects may grow...
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Advanced Micro Devices (NasdaqGS:AMD) agreed to acquire Toronto-based AI chip startup Taalas, aiming to deepen its AI inference offerings. The deal brings Taalas' specialized inference-focused silicon into AMD's product roadmap for enterprise and cloud AI workloads. Taalas' engineering team is expected to join AMD and work on system-level AI inference solutions across future AMD platforms. For readers watching how AI compute is reshaping data centers and broader infrastructure, this move by...
The Toronto-based startup, founded in 2023, has raised $219 million and builds chips hardwired for specific AI models
Advanced Micro Devices (AMD) has announced a definitive agreement to acquire Taalas, a specialist in AI inference silicon, aiming to enhance its compute solutions in the dynamic AI inference market. Taalas’ technology, which optimizes inference dataflows to reduce compute and memory bottlenecks, is set to bolster AMD’s AI roadmap by improving inference performance and efficiency. The acquisition will enable AMD to integrate Taalas’ solutions with its existing hardware and software platforms,...
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The deal will see AMD integrate Taalas’ technology into its accelerator roadmap and develop system-level solutions with Instinct GPUs.
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The acquisition adds specialized AI inference technology to AMD’s roadmap as the chipmaker expands its full-stack AI platform beyond GPUs.
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Advanced Micro Devices said on Thursday it would buy chip startup Taalas for an undisclosed amount, strengthening its technology as it taps into the rapidly growing market for AI inference workloads. Toronto-based Taalas develops specialized silicon designed to reduce computing and memory bottlenecks in AI inference, the process of running trained AI models to generate responses or predictions. Specialized inference chips have become a critical focus for semiconductor makers as AI shifts from training to real-time, high-volume deployment, and companies race to cut computing costs.
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