Machine Learning
MLCommons, the consortium behind the MLPerf family of machine learning benchmarks, is announcing this morning that the organization will be developing a new desktop AI benchmarking suite under the MLPerf banner. Helmed by the body’s newly-formed MLPerf Client working group, the task force will be developing a client AI benchmark suit aimed at traditional desktop PCs, workstations, and laptops. According to the consortium, the first iteration of the MLPerf Client benchmark suite will be based on Meta’s Llama 2 LLM, with an initial focus on assembling a benchmark suite for Windows. The de facto industry standard benchmark for AI inference and training on servers and HPC systems, MLCommons has slowly been extending the MLPerf family of benchmarks to additional devices over the past several years...
NVIDIA and Baidu Sign Multi-Facet AI Tech Partnership for Tesla, DRIVE PX2, & SHIELD TV
This morning NVIDIA and Chinese Internet juggernaut Baidu are announcing that they have signed a multi-faceted AI technology partnership that will see the Internet giant utilize NVIDIA’s hardware for...
3 by Ryan Smith on 7/5/2017AMD Unveils the Radeon Vega Frontier Edition: Vega Starts in the Pros
It feels like the build-up to Vega has been just shy of forever. And in a way it has been: AMD first announced the architecture back in March of...
134 by Ryan Smith on 5/17/2017NVIDIA Volta Unveiled: GV100 GPU and Tesla V100 Accelerator Announced
Today at their annual GPU Technology Conference keynote, NVIDIA's CEO Jen-Hsun Huang announced the company's first Volta GPU and Volta products. Taking aim at the very high end of...
179 by Ryan Smith on 5/10/2017NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA’s Embedded System Kit
For a few years now, NVIDIA has been offering their line of Jetson embedded system kits. Originally launched using Tegra K1 in 2014, the first Jetson was designed to...
59 by Ryan Smith on 3/7/2017AMD Announces Radeon Instinct: GPU Accelerators for Deep Learning, Coming In 2017
With the launch of their Polaris family of GPUs earlier this year, much of AMD’s public focus in this space has been on the consumer side of matters. However...
39 by Ryan Smith on 12/12/2016NVIDIA Teases Xavier, a High-Performance ARM SoC for Drive PX & AI
Ever since NVIDIA bowed out of the highly competitive (and high pressure) market for mobile ARM SoCs, there has been quite a bit of speculation over what would happen...
36 by Ryan Smith on 9/28/2016CEVA Launches Fifth-Generation Machine Learning Image and Vision DSP Solution: CEVA-XM6
Deep learning, neural networks and image/vision processing is already a large field, however many of the applications that rely on it are still in their infancy. Automotive is the...
3 by Ian Cutress on 9/27/2016NVIDIA Announces Tesla P40 & Tesla P4 - Neural Network Inference, Big & Small
Over the last few months we have seen NVIDIA’s Pascal GPUs roll out among their consumer cards, and now the time has come for the Tesla line to get...
37 by Ryan Smith on 9/13/2016Intel Announces Knights Mill: A Xeon Phi For Deep Learning
In a brief announcement as part of today’s Day 2 ketnote for IDF 2016, Intel has announced a new member of the Xeon Phi family. The new part, currently...
24 by Ryan Smith on 8/17/2016Google’s Tensor Processing Unit: What We Know
If you’ve followed Google’s announcements at I/O 2016, one stand-out from the keynote was the mention of a Tensor Processing Unit, or TPU (not to be confused with thermoplastic...
39 by Joshua Ho on 5/20/2016NVIDIA Announces Jetson TX1 - A Tegra X1 Module & Development Kit
Although NVIDIA’s original plans for Tegra haven’t quite panned out as NVIDIA wanted to – at this point even tablet wins are few and far between – the company...
34 by Ryan Smith on 11/10/2015NVIDIA Announces Tesla M40 & M4 Server Cards - Data Center Machine Learning
Slowly but steadily NVIDIA has been rotating in Maxwell GPUs into the company’s lineup of Tesla server cards. Though Maxwell is not well-suited towards the kind of high precision...
24 by Ryan Smith on 11/10/2015