As Nvidia expands in AI, Intel defends turf
Nvidia dominates chips for training computers to think like humans, but faces an entrenched competitor in the expanding AI chip market.
Nvidia dominates chips for training computers to think like humans, but faces an entrenched competitor in the expanding AI chip market.
Dell EMC has taken the wrappers off the $2.3 million supercomputer upgrade it completed with the help of NTT Data for the University of Sydney.
Google is the latest cloud provider to announce the availability of Nvidia Tesla V100 GPUs on Compute Engine and Kubernetes Engine in beta.
Nvidia is updating software in response to the Spectre threat, but its CEO said chips were not subject to the same risks as those from Intel and others.
Nvidia equipment vulnerable to the Spectre security threat, broadening the scope of concern for millions of computers beyond their central processors.
Nvidia will partner with Uber and Volkswagen as the graphics chipmaker's AI platforms make further gains in the autonomous vehicle industry.
The University of Adelaide has spent $1 million to increase the capacity of its supercomputer ‘Phoenix’, which is based on Lenovo, Nvidia and Dell technology.
Nvidia Corp's quarterly revenue in its data centre and automotive businesses missed estimates, despite seeing revenues surge.
Nvidia's Quadro GP100 shares many features with the company's most advanced Tesla P100 GPU, but also brings the superfast NVLink to Windows PCs and workstations.
Nvidia's new GPUs called the Tesla P40 and P4 are built for those kind of deep-learning systems that aid in correlation and classification of data. The P4 -- which is based on the Pascal architecture -- is designed for use in servers or computers that will drive autonomous cars.
Recent accidents involving Tesla cars may have been a setback for self-driving cars, but Nvidia believes a fast computer under the hood could make autonomous cars and cabs truly viable.
Nvidia keeps upping the performance with each new GPU based on the Pascal architecture. Its latest, the Quadro P6000, can deliver 12 teraflops of single-precision performance, a teraflop more than the Titan X unveiled just last week.
From smartphones to self-driving, Nvidia's Tegra chips have been used in many ways. And the next-generation Tegra is just around the corner.
In 2018, Intel will likely release a faster and more power-efficient Xeon Phi, a supercomputing chip that is already in some of the world's fastest computers. Intel is also looking beyond CPUs to FPGAs (field programmable gate arrays), which can be faster in key tasks.
Some of the world's fastest computers employ Nvidia's graphics processor for computer vision and complex calculations, and a new GPU will supercharge these applications.