Nvidia launched its second-generation DGX system in March. In order to build the 2 petaflops half-precision DGX-2, Nvidia had to first design and build a new NVLink 2.0 switch chip, named NVSwitch.

NVIDIA’s new reference design platform enables companies to build GPU-accelerated Arm servers for running a broad range of applications, from hyperscale-cloud to exascale supercomputing and beyond.

Building your own GPU server isn't hard, and it can easily beat the cost of training deep learning models in the cloud There comes a time in the life of many deep learning practitioners when they get ...

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TL;DR: TensorWave, a cloud service provider, announced plans to build the world's largest GPU clusters using AMD Instinct MI300X, MI325X, and MI350X AI accelerators. These clusters will feature Ultra ...

Graphical Processing Units (GPUs) are particularly problematiccomponents in embedded systems, especially when used for safetycritical systems where design verification and certification isrequired.

A new era of graphics has arrived to transform the entire design and visualization process. This transformation is enabling architecture firms to push the boundaries of physically based rendering and ...

SAN FRANCISCO--(BUSINESS WIRE)--Lambda, a leading provider of deep learning GPU cloud services and computing hardware, today announced that it has raised $24.5M in financing. Primary investors include ...