Advanced Computing in the Age of AI | Monday, December 6, 2021

Run:AI Looks to Bring 100% GPU Utilization to its AI-Focused Compute Orchestration Platform

One of the biggest challenges in AI development is to efficiently allocate and utilize the available power and performance of GPUs that are crunching AI models. Running those workloads ...Full Article

At VMworld 2021, VMware, Nvidia, Dell Unveil Deeper Cloud, Edge, Kubernetes Partnerships

From new enterprise cloud capabilities to deeper features for edge computing applications to broader Kubernetes usability, there is something to help every business at this year’s VMworld 2021 virtual ...Full Article

AMD, HPE Hire Away Cloud Executives from Intel, VMware

The industry-wide hiring wars have taken their latest toll at Intel and VMware, which each recently lost an experienced cloud executive to competitors AMD and HPE. After more than ...Full Article

From Moore’s Law to SysMoore: AI, Chip Design and How Gordon Moore’s Idea Might Be Changing

Since 1965, Moore’s law – engineer Gordon Moore’s astute observation that the number of transistors on chips will double each year to keep up with the needs of technology ...Full Article

Experts Grapple with AI’s Environmental Costs

AI algorithms have made tremendous progress in making many computational processes more efficient, but “efficiency” isn’t always the name of the game for the AI industry itself. Famously, a ...Full Article

Nvidia’s Strategy to Put a GPU in Every Server: A Conversation with Manuvir Das

As the head of enterprise computing for Nvidia, Manuvir Das works with his team daily to help enterprises explore AI technologies and find new ways to use them in ...Full Article

Cerebras Touts Linear Scaling up to 192 CS-2 Systems with Wafer Scale to ‘Brain-Scale’ Approach

Wafer-scale computing company Cerebras Systems has unveiled more details about its “brain-scale” approach for running the largest models in the world across up to 192 CS-2 systems. To enable ...Full Article

IBM’s Upcoming Z Series Chip Gains On-Chip AI Acceleration and New Name: Telum

In a major refresh of its Z Series chips, IBM is adding on-chip AI acceleration capabilities to allow enterprise customers to perform deep learning inferencing while transactions are taking ...Full Article

With Approvals in from the EC and the UK, AMD’s $35B Acquisition of Xilinx Now up to China

AMD’s planned acquisition of FPGA maker Xilinx is now in the hands of Chinese regulators after needed antitrust approvals for the $35 billion deal were received from the European ...Full Article

Toyota, GM Sign Tech Partners to Expand Vehicle Advanced Driver-Assistance Capabilities

With cars and trucks constantly gaining new driver-assistance features to increase on-the-road safety, two of the world’s largest automakers are bringing in new partners to help boost their technologies. ...Full Article
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