Mt. Tiburon Testing Labs: GeForce Now — a game changer
Streaming game services like GeForce Now change the equation for the computer industry and enable AAA gaming on everything from
Streaming game services like GeForce Now change the equation for the computer industry and enable AAA gaming on everything from
Nvidia, with its claim to be the leading AI training engine in the data center, has painted a big bullseye on their back. Nvidia’s outsize marketing strategy means that everyone who has introduced or shown an AI chip is going to come after Nvidia. Nvidia has raised the bar with their new Turing-based Tesla T4 AIB, and, strangely, is positioning … Read more
Nvidia’s introduction of the Turing processor reveals the seemingly endless extensibility of the GPU. We saw the integration of video decoders and then encoders, audio amplifiers and multiple spatial sound features, and the addition of special functions and filters, as well as memory management, and high-speed interfaces. With Turing, Nvidia added two new processor types, a matrix-multiplier they call the … Read more
To the best of our recollection, HP was the first to offer a remote graphics solution that wasn’t based on X-Windows. In the Spring of 2004, HP came up with the idea to allow users of their workstations to share a view. They called it “HP Remote Graphics,” or RGS, and what it did was give a remote colleague the … Read more
Revised data reveals PC GPU market increased 0.2% quarter-to-quarter
A graphics processing unit (GPU) with the power and ability to present gamers with gorgeously rendered graphics and physics effects at high frame rates is a valued asset for a gamer. Increasingly AI is also going to become part of the equation. As better games evolve, the demand for more powerful graphics processors will continue to go up, and there … Read more
In 2011, a scant seven years ago, Florida-based Magic Leap wow’ed the world and investors with fake videos of its planned augmented reality (AR) headset. The videos were so good, investors fell over themselves trying to stuff money into Magic Leap’s bank account, and they succeeded to the tune of something north of $2.3 billion US-dollars—making it the richest startup … Read more
If you were lucky enough to get to go to the Computer Vision and Pattern Recognition conference in Salt Lake City, and if you were one of the twenty lucky enough once there to get tapped by Nvidia’s gregarious CEO Jensen Huang, then you went home with a 32 GB Titan V supercomputer AIB. Jensen Huang demonstrating his largesse in … Read more
In 2014, a disruptive approach to HPC enabled IBM to be awarded two contracts to build the next generation of supercomputers as part of the US Department of Energy’s Collaboration of Oak Ridge, Argonne, and Lawrence Livermore (known as CORAL program). In partnership with Nvidia and Mellanox, IBM demonstrated to CORAL that a data-centric … Read more
AMD and Nvidia, despite how they poster and position themselves, have limited resources; and since there are only 25 hours in a day, they have to pick their priorities carefully. And even though there was a lot of fanfare when Koduri rejoined AMD in 2013, the Vega product line was less than stellar, although it did have a surprising advantage … Read more
Nvidia just won’t quit and has built a double-decker server rack-mount console of Volta AIBs that can be used for AI training among things. The hardcore specifications are: AIBs: 16x Tesla V100s, providing 10,240 Tensor cores, plus 81,920 CUDA cores with 500GB of GPU memory Performance: 2 petaFLOPS AI | 250 teraFLOPS, FP32 | 125 teraFLOPS FP64 NVSwitch Communication Channel powered … Read more
Breathless reporting makes news of Nvidia's and Arm's collaboration on Xavier sound like earth shattering news. Nvidia and Arm recently announced that they would be working together to make Nvidia’s Deep learning Accelerator (NVDLA) accessible to programmers using Arm’s Trillium platform. Project Trillium was announced by Arm in February this year as a way for developers to get direct access from … Read more