Nvidia has launched its 80GB version of the A100 graphics processing unit (GPU), targeting the graphics and AI chip at supercomputing applications. The chip is based on the company's Ampere graphics ...
LillyPod, which occupies 30,000 square feet in a room the size of a football field, is capable of crunching massive amounts of data at high speeds and is expected to help the Lilly discover and ...
Scottish data center firm DataVita is to host a new supercomputer for the London-based University College London (UCL). The announcement is part of a wider investment program from the UK Government's ...
Company CEO Jensen Huang unveiled NVIDIA’s new hybrid computing architecture, NVQLink, on Tuesday, as well as the deployment of two new supercomputers at Argonne National Laboratory. Industry National ...
The US Department of Energy is partnering with Nvidia and Oracle to build seven new AI supercomputers to accelerate scientific research and develop agentic AI for discovery. Two of these systems, ...
ElastixAI solves the systemic inefficiencies of GenAI inference through innovative software-ML-hardware co-design, delivering the next generation of scalable, sustainable AI. The founding team brings ...
London-based AI cloud platform Fluidstack and Eclairion, a French maker of modular, high-density data centers, have partnered to build what the companies said is Europe’s largest GPU supercomputer ...
Space has always been a premium in the datacenter, but the heat is on – quite literally – to drive up the density of GPU and XPU compute not just because real estate is expensive, but because latency ...
As we talked about a decade ago in the wake of launching The Next Platform, quantum computers – at least the fault tolerant ones being built by IBM, Google, Rigetti, and a few others – need a massive ...
The world’s fourth exascale supercomputer has arrived, pitting Nvidia’s proprietary chip technologies against the x86 systems that have dominated supercomputing for decades. For the 66th edition of ...
It’s quite the understatement to say that at this point in time we don’t quite understand how even the tiniest brain works exactly. Much of this is due to the sheer complexity and ...