NVIDIA has gained traction in datacenter Machine Learning with their DGX platforms. Now Bay Area provider Colovore has signed up as a colocation partner supporting NVIDIA DGX deployments. “NVIDIA’s DGX-1 and DGX-2 platforms are leading the way in solving complex AI challenges and we are proud to partner with NVIDIA and their customers to provide the most cost-effective, flexible, and scalable data center home for these servers. With close to 1,000 DGX platforms already deployed and operating at Colovore, we have tremendous experience providing the optimal footprint for DGX and HPC infrastructure success.”
Industry Perspectives
HPC: Stop Scaling the Hard Way
…today’s situation is clear: HPC is struggling with reliability at scale. Well over 10 years ago, Google proved that commodity hardware was both cheaper and more effective for hyperscale processing when controlled by software-defined systems, yet the HPC market persists with its old-school, hardware-based paradigm. Perhaps this is due to prevailing industry momentum or working within the collective comfort zone of established practices. Either way, hardware-centric approaches to storage resiliency need to go.
White Papers
The Graphcore Second Generation IPU
Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.
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