Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

The Maia 200 deployment demonstrates that custom silicon has matured from experimental capability to production ...

DeGirum®, a leader in edge AI, today announced the release of Workspaces within AI Hub, an online environment that brings together key tools developers use to build, optimize, and deploy edge AI ...

Calling it the highest performance chip of any custom cloud accelerator, the company says Maia is optimized for AI inference on multiple models.

Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generation. Maia 200 is an AI inference powerhouse: an ...

As artificial intelligence shifts from experimental demos to everyday products, the real pressure point is no longer training ...

Nvidia is spending its market valuation windfall not on random diversification but on buying the knobs and levers that decide whether the AI factory runs, what it runs, and whose machines it runs on.

The research team has innovatively developed the QSteed quantum compilation framework, which introduces quantum resource ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

DNN Attack Surfaces Authors, Creators & Presenters: Yanzuo Chen (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Zhibo Liu (The ...

Lightmatter, the leader in photonic (super) computing, today announced a strategic collaboration with Synopsys, the leader in engineering solutions from silicon to systems, to integrate Synopsys 224G ...