Here’s what you need to know before your engine pays the price.

D-Wave Quantum's valuation is disconnected from fundamentals, with massive dilution, negative cash flow, and revenue reliant ...

A new cancer drug candidate has demonstrated the ability to block tumor growth without triggering a common and debilitating ...

Right or wrong, we still believe that we live in a world where traditional HPC simulation and modeling at high precision ...

Japan hosts the world’s most powerful quantum–classical setup with IBM’s Heron processor and Fugaku supercomputer.

Why now: Electrical utilities are embracing data centers as a catalyst for increasing electrical demand (and padding their bottom line) following an era of energy efficiency. PG&E anticipates new data ...

The compute and energy demands of large-scale AI are turning enterprise AI infrastructure into supercomputing, though the search for a killer app and concerns over initial infrastructure costs remain.

International Business Machines plans to build what it called the world's first large-scale, fault-tolerant quantum computer by 2029. The computer, dubbed IBM Quantum Starling, will be built in a new ...

The U.S. Department of Energy, in partnership with Dell and NVIDIA, plans to build a new flagship supercomputer at the Lawrence Berkeley National Laboratory.

According to Epoch AI's paper, the leading AI supercomputer in 2030 could require 2 million AI chips and cost $200 billion to build — again, assuming that current growth trends continue.

As they grew in performance, AI supercomputers got exponentially more expensive. The upfront hardware cost of leading AI supercomputers doubled roughly every year (1.9x/year).