Compute
Talking System Architecture With AMD CTO Mark Papermaster
It is funny to think that in a certain light, AMD has Big Blue to thank for its resurgence in the datacenter. …
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Cloud
Public Cloud Giants Fight For HPC Supremacy
Microsoft Azure has been able to put actual Cray XC series supercomputers and CS Storm clusters in the public cloud for more than two years now, and it is unclear how many companies have commissioned Cray, now part of Hewlett Packard Enterprise, to do so. …
AI
Deep Divides Between AI Chip Startups, Developers
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …
AI
Machine Learning Chip Breaks New Ground With Waferscale Integration
Startup Cerebras Systems has unveiled the world’s largest microprocessor, a waferscale chip custom-built for machine learning. …
AI
Where Does Nvidia Go In The Datacenter From Here?
We have to admit that it is often a lot more fun watching an upstart carve out whole new slices of business, or create them out of what appears to be thin air, in the datacenter than it is to watch how it will respond to intense competitive pressures and somehow manage to keep growing despite that. …
AI
AI Chip Leads Debate Training, Inference Accelerator Trends
Earlier in May during The Next AI Platform event in San Jose, we conducted live, technical interviews with a broad range of experts in various areas of deep learning hardware. …
AI
Why AI Adoption Leaves Customers Dazed and Confused
Businesses and government agencies are deploying AI at breakneck speeds. But in the rush to stay ahead, or at least not fall too far behind, organizations are having to confront some hard truths. …
AI
How Facebook Might Find Nervana For Machine Learning Training
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
AI
Inside Facebook’s Future Machine Learning Platforms
The hyperscalers and cloud builders of the world build things that often look and feel like supercomputers if you squint your eyes a little, but if you look closely, you can often see some pretty big differences. …
AI
Reading Between the MLPerf Lines
Every important benchmark needs to start somewhere.
The first round of MLperf results are in and while they might not deliver on what we would have expected in terms of processor diversity and a complete view into scalability and performance, they do shed light on some developments that go beyond sheer hardware when it comes to deep learning training. …