
One Giant Leap for Waferscale AI
Remember how, a few years ago, the chatter was that waferscale systems wouldn’t stand a chance? …
Remember how, a few years ago, the chatter was that waferscale systems wouldn’t stand a chance? …
We are starting to see more exascale and large supercomputing sites benchmark and project on deep learning capabilities of systems designed for HPC applications but only a few have run system-wide tests to see how their machines might stack up against standard CNN and other metrics. …
The stars are aligning for FPGA maker Achronix with the emergence of PCIe 5.0 and a growing set of potential customers who want to build accelerator cards with their technology on the networking roadmap. …
While Marvell’s ThunderX family of server-class processors might not have taken high performance computing by storm from the outset, where there was interest and demand, it was fierce and committed. …
We knew the day would come when an AI chip startup hit the $1 billion funding mark and so it has. …
Quantum simulators are a strange breed of systems for purposes that might seem a bit nebulous from the outset. …
We often focus on the largest high performance computing deployments but a bulk of real enterprise HPC workloads happen in far less sophisticated environments, albeit with applications that still the need scalability, performance, and efficiency the big centers can provide. …
The San Diego Supercomputer Center (SDSC) will be preparing to put nearly ten racks of Habana AI hardware on the floor, marking the first time we have seen the AI chip startup (acquired by Intel in 2019) in force at any major supercomputing site. …
When it comes to neural network training, Python is the language of choice. …
…For storage startups focused on the highest end of infrastructure, removing the costs associated with a hardware business might be the only way to reach potential.
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