Rob Farber
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  • Gig Harbor, WA
  • United States
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Short Bio:
Rob Farber is a global technology consultant and author with an extensive background in HPC and in developing machine learning technology that he applies at national labs and commercial organizations. Rob can be reached at [email protected]
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Data Science, Machine Learning, AI, Business Analytics, Deep Learning, Other
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Rob Farber's Blog

CPU Vendors Compete Over Memory Bandwidth to Achieve Leadership in Real-World Application Performance

Posted on December 9, 2019 at 10:00am 0 Comments

By Rob Farber

Now is a great time to be procuring systems as vendors are finally addressing the memory bandwidth bottleneck. Succinctly, memory performance dominates the performance envelope of modern devices be they CPUs or GPUs. [i] It does not matter if…


Enter the Era of Terabyte Memory

Posted on July 8, 2019 at 1:51pm 0 Comments

Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules change the way we think about memory capacity, tiered memory, out-of-core algorithms, storage speed, and essentially what we can do on a computational “fat node” and with persistent storage.

With a growing ecosystem of more than 50 OEMs, ISVs and cloud service providers are exploring what is possible given the touted three-fold…


Workload Optimized Compute Servers Are Creating the Need for Converged Clusters

Posted on July 1, 2019 at 8:52am 0 Comments

Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support for converged clusters to run key HPC-AI-HPDA (AI, HPC, and High Performance Data Analytic) workloads.

The success of workload optimized compute servers has created the need for converged clusters as organizations have generally added workload optimized clusters piecemeal to support their disparate AI, HPC,…


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