Advanced Computing in the Age of AI|Tuesday, March 31, 2020
  • Subscribe to EnterpriseAI Weekly Updates:  Subscribe by email

GPU

Beat the GPU Storage Bottleneck for AI and ML

Data centers that support AI and ML deployments rely on Graphics Processing Unit (GPU)-based servers to power their computationally intensive architectures. Across multiple industries, expansion in GPU use is ...Full Article

AMD’s Road Ahead: 5nm Epyc, CPU-GPU Coupling, 20% CAGR

Promising Wall Street a 20 percent CAGR and an aggressive CPU-GPU product roadmap, AMD delivered a confident self-portrait at its financial analyst day in Santa Clara yesterday that’s at ...Full Article

Nvidia Reports Strong Revenue, Earnings Growth

Nvidia is back. Way back. After four straight down quarters, the GPU juggernaut announced blockbuster earnings for the period ended January 26, beating analysts’ expectations for both revenue and ...Full Article

Kubernetes Gets a GPU Boost

An infrastructure vendor zeroing in on AI and machine learning workloads has added GPU support to a Kubernetes-based appliance designed to handle those emerging applications in containers while adding ...Full Article

Nvidia, Google Tie in Second MLPerf Training ‘At-Scale’ Round

Results for the second round of the AI benchmarking suite known as MLPerf were published today with Google Cloud and Nvidia each picking up three wins in the at-scale ...Full Article

Deep Learning Competitors Stalk Nvidia

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed ...Full Article

Intel 7nm GPU on Roadmap for 2021, OneAPI Coming This Year

At Intel’s investor meeting yesterday in Santa Clara, Calif., the company filled in details of its roadmap and product launch plans and sought to allay concerns about delays of ...Full Article

An Open Source Approach to Image/Video Machine Learning
Sponsored Content by AMD

Image and video machine learning capabilities are highly desirable in a wide variety of application areas including autonomous vehicles, security and surveillance, medical diagnostics, scientific research, and more. While ...Full Article

MIT Researchers Look to Speed Neural Net Design

The design of a neural network architecture remains a daunting problem, requiring human expertise and lots of computing resources. The soaring computational requirements of neural architecture search (NAS) algorithms ...Full Article

Data Science a New Pillar of the Scientific Method – Nvidia

We already knew that GPUs are useful for lots of things besides making Fortnite uncomfortably realistic. All the biggest supercomputers in the world use GPUs to accelerate math, and ...Full Article
Page 1 of 512345
Do NOT follow this link or you will be banned from the site!