Tsavorite’s Omni Processing Unit
A custom GPU with an Arm Neoverse CPU.
A custom GPU with an Arm Neoverse CPU.
Some of AMD’s and Nvidia’s biggest customers are building their own AIPs.
Who cares about OpenCL performance?
In China, Nvidia shows how CUDA can run on a RISC-V host—and signals it’s ready for a more open AI future.
Spectral Compute’s Scale lets AMD run native CUDA programs.
Is your system’s rendering performance as fast as you think it is?
Blocked from US suppliers, the company seeks a fab.
Are there any playbooks AI processor companies can use to catch up with Nvidia? A lot of people are asking that question.
Intel offers an escape route.
Nvidia has been pushing the envelope on graphics chips since it integrated the geometry processor and pixel shader into one chip and called it a GPU, 21 years ago. The potential for GPUs then vastly expanded in 2003 when a branch of development spiked out of GPU applications that took advantage of the GPUs parallel processing for pure computation using … Read more
Three years ago, we had maybe six or less AI accelerators, today there’s over two dozen, and more are coming. One of the first commercially available AI training accelerators was the GPU, and the undisputed leader of that segment was Nvidia. Nvidia was already preeminent in machine learning (ML) and deep learning (DL) applications and adding neural net acceleration was … Read more
At this year’s SIGGRAPH in Vancouver, The Khronos Group has launched its new interoperability standard for neural networks. The Neural Network Exchange Format (NNEF) is an open, implementation-independent way to describe neural networks designed to cut through the current tangle of framework-specific formats. The new standard was released in provisional form in December of 2017 and, after a period of … Read more