Using hot water to cool supercomputers? Nvidia and others are doing it. It’s liquid cooling minus the water chillers.

The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between.

Caltech’s new fiber-like photonic chips achieve record-low visible-light loss, enabling more coherent lasers and next-generation quantum and sensing technologies.

AI hyperscaler tailwinds, rising margins & EV/Sales undervaluation vs AI infrastructure peers—see why it’s a Buy.

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

A few months back, Sandia National Laboratories announced they had acquired a new supercomputer. It wasn’t the biggest, but it still offered in their eyes something unique. This particular ...

Pacific, offering DeFi tools, liquid staking, and execution services designed for traditional finance firms entering the ...

Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...

AMD hasn't implemented official support, yet.

It has taken three decades for HPC to move to the cloud, and the truth is that a lot of simulation and modeling applications are still coded to run on ...

Taalas, a Finnish AI company, has reportedly moved away from NVIDIA GPUs in favor of hardwired AI chips, claiming inference speeds of 17,000 tokens per second. The shift coincides with a broader ...

Nominate your scientific computing stars for the inaugural SCW75 – an annual recognition programme celebrating the individuals driving innovation at the intersection of computing and scientific ...