Alsos** **Unveil** **New** **Tech** **to** **Boost** **AI** **Efficiency

Alsos** **Unveil** **New** **Tech** **to** **Boost** **AI** **Efficiency

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SAN FRANCISCO — Alsos on Tuesday unveiled a new suite of hardware and software designed to boost AI efficiency across data centers and edge devices. The centerpiece is a modular AI accelerator that pairs heterogeneous compute blocks with a cache-coherent memory system, aiming to reduce data movement and energy use. The company claims the architecture can run mixed-precision workloads with dynamic scaling, enabling deeper models to run faster without a proportional increase in power draw.

In addition to the hardware, Alsos introduced a software stack that automatically partitions models, tunes precision per layer, and routes data through the most efficient path in real time. The company says this software can deliver meaningful gains on common benchmarks while simplifying deployment for developers and IT teams.

'By tying together smarter hardware with a software-first approach, we squeeze more performance per watt,' said CTO Li Wei during the demonstration. Industry analysts note that efficiency is becoming as important as raw throughput as AI models grow larger and more common in production workloads.

Alsos plans pilot programs with several cloud providers in the coming quarter, with a broader rollout targeting mid- to large-scale data centers and edge deployments later in the year. The goal, executives say, is to make high-performance AI more sustainable and accessible across industries.

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