Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

After spending hundreds of billions of dollars in recent years on chips for training their AI models, companies such as ...

By Stephen Nellis and Max A. Cherney SAN JOSE, California, March 16 (Reuters) - Nvidia said the revenue opportunity for its ...

By advancing more integrated tooling on the Arm compute platform, embedUR is reducing complexity, accelerating innovation, ...

Designed to deliver performance, compliance, and security for Agentic AI applications and help minimize aggregate token costsEmpowers enterprise infrastructure and platform teams to simply build, ...

The following organizations have been chosen as Montréal’s Top Employers for 2026 (employee count refers to full-time staff): ...

Nvidia introduced the DGX Station at GTC 2026, a desktop supercomputer with 20 petaflops of AI performance and 748GB of coherent memory that can run trillion-parameter AI models locally without the ...

The conference is likely to influence industry priorities around scalable AI deployment, agentic systems and robotics ...

ARE you fed up with being in the slow lane when it comes to your pay? Well, you could switch to a different industry and give ...

Companies are no longer just buying chips. They are connecting to the larger global network of computational power capable of ...

Nvidia's chief Jensen Huang forecasts a massive one trillion dollar revenue opportunity for its AI chips by 2027. This projection highlights Nvidia's strong position in the AI chip market. The company ...

Tesla has announced plans to wind down production of its Model S and Model X flagship models, with no successor programs ...