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. …
Startup Cerebras Systems has unveiled the world’s largest microprocessor, a waferscale chip custom-built for machine learning. …
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. …
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. …
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. …
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. …
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. …
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. …
We did not plan it, but today has become make-your-eyes-bleed-with-chip architecture-patent-applications day. …
When it comes to machine learning, a lot of the attention in the past six years has focused on the training of neural networks and how the GPU accelerator radically improved the accuracy of networks, thanks to its large memory bandwidth and parallel compute capacity relative to CPUs. …
With Moore’s Law running out of steam, the chip design wizards at Intel are going off the board to tackle the exascale challenge, and have dreamed up a new architecture that could in one fell swoop kill off the general purpose processor as a concept and the X86 instruction set as the foundation of modern computing. …
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