AI
AI
AI
Why The MLPerf Benchmark Is Good For AI, And Good For You
Commissioned In just about any situation where you are making capital investments in equipment, you are worried about three things: performance, price/performance, and total cost of ownership. …
AI
Google Chips Away at Problems at “Mega-Batch” Scale
As Google’s batch sizes for AI training continue to skyrocket, with some batch sizes ranging from over 100k to one million, the company’s research arm is looking at ways to improve everything from efficiency, scalability, and even privacy for those whose data is used in large-scale training runs. …
AI
The Challenge – And Opportunity – Of Being A Niche AI Cloud
In this era of hyperscaler and cloud builder titans, their seven of whom account for about half of the IT infrastructure bought in the world, it is important to remember the importance of niches and the vital role that other makers of systems, other sellers of systems, and other renters of systems all play in the IT ecosystem. …
AI
Ampere Computing Buys An AI Inference Performance Leap
Machine learning inference models have been running on X86 server processors from the very beginning of the latest – and by far the most successful – AI revolution, and the techies that know both hardware and software down to the minutest detail at the hyperscalers, cloud builders, and semiconductor manufacturers have been able to tune the software, jack the hardware, and retune for more than a decade. …
AI
Getting Industrial About The Hybrid Computing And AI Revolution
For oil and gas companies looking at drilling wells in a new field, the issue becomes one of return vs. …
AI
Further Funding Flows to Canadian AI Inference Hardware
AI inference hardware startup, Untether AI, has secured a fresh $125 million in funding to push its novel architecture into its first commercial customers in edge and datacenter environments. …
AI
AI/ML Cuts into Traditional HPC, Plasma Physics
When AI/ML came onto the scene in the supercomputing community, common wisdom was that it could do much to augment HPC applications but it would be not be able to replace many of the computationally-intensive physics and simulation workloads. …
AI
What We’re Getting Wrong About Efficient AI Training at Scale
Famed computer architect, professor, author, and distinguished engineer at Google, David Patterson, wants to set the record straight on common misconceptions about carbon emissions and datacenter efficiency for large-scale AI training. …
AI
Inside Look Inside Japan’s ABCI AI Supercomputer Upgrade
Japan is home to one of only a few designated AI supercomputers open to public and private research partnerships via its ABCI (AI Bridging Cloud Infrastructure) system, which is set to reach nearly an exaflop of single-precision performance for ML workloads following a recent upgrade. …