This next-generation compute platform will find a place in virtual reality, artificial intelligence, and deep learning as well as existing graphics-intensive applications. Nvidia’s first and flagship implementation of Pascal is the GP100 GPU, expected to ship first on a Tesla board in 2016 for HPC and supercomputing applications. As it did with all previous generations, Nvidia will most likely then release several subsequent derivatives of the GP100, with sizes, performance, and resources tuned to specific applications and market segments. Read more at GraphicSpeak
Related posts
AICPUData CenterGPUIPNvidiaRISC-VSiFive
SiFive raises again as CPUs return to the center of the AI data center story
$400 million gives SiFive space ahead of a probable IPO.
Bolt GraphicsCADdigital twinsPath tracingRenderfarm
Bolting out of the shadows
Revolutionary path-tracing chip company exits stealth mode.
EPICFalloutFortniteGeForce NowNvidia
GeForce Now is now!
It has been now for a while and continues to grow.
Recent products
AI Processor Management Information Tracker Organization Primer
The JPR AI Processor Management Information Tracker Organization primer explains how JPR's AI Processor Management Information Tracker is structured into five major market segments and assigns each market to endpoint- and workload-specific subcategories, with details about each segment.
This organization guide is offered free of charge.
Dashboards in the AIP Management Information Tracker
Jon Peddie Research’s free Dashboards in the JPR AI Processor Management Information Tracker organizes the rapidly expanding AI processor market.
The dashboards are devised to assist users in navigating the extensive data contained within the tracking system.
This dashboard guide is offered free of charge.
China Robotics White Paper
Jon Peddie Research’s free China Robotics White Paper examines China’s strategic advance in robotics and automation and the effect this is having on the country’s move toward AI chip independence.
The China Robotics White Paper lists the top 10 robot AI processor suppliers, their chips/products, and the Chinese humanoid robot customers using those processors.
This white paper is offered free of charge.