Found via Twitter, a pointer to Intel’s Refresh Savings Estimator, a web-based tool you can use to estimate how many Nehalems you need to replace your aging processors. I couldn’t actually get it to load on my Mac; hopefully, your mileage will vary.
…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.
Not too long ago, building a converged HPC/AI environment - with two domains: High Performance Computing (HPC) and Artificial Intelligence (AI) - would require spending a lot of money on proprietary systems and software with the hope that it would scale as business demands changed. In this insideHPC technology guide, as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
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