Blog Archives

Flash Memory Summit 2019 – Day 3 Wrap Up

Posted on August 12, 2019 by George Crump

The third and final day of the Flash Memory Summit was as busy as the previous two. Most conferences fizzle out the last day; FMS day 3 was still abuzz with interesting sessions and quality briefings. Briefing 1 – Fibre…

Tagged with: Cloud, Computational Storage, Excelero, FC, Flash Memory Summit 2019, FMS, Mellanox, NVMe, NVMe-oF, PCIe
Posted in Briefing Note

Rethinking the SAN for the NVMe Era

Posted on March 21, 2019 by Krista Macomber

Non-volatile memory express (NVMe) flash drives promise new levels of ultra-low latency and fast performance. The media is beginning to find its way into the enterprise storage environments, on the back of the need to serve the growing number of…

Tagged with: Excelero, Flash, IOPS, Latency, NVMe, NVMe-oF, performance, Scale, Shared Storage
Posted in Blog

Lightboard Video: Overcoming the Challenges of Deploying NVMe Flash at Scale

Posted on March 5, 2019 by George Crump

The main advantages of NVMe flash drives are the low latency and high performance per drive. Those advantages are also the biggest challenges: each drive can generate hundreds of thousands of IOPS but if those drives are installed in a…

Tagged with: Excelero, Flash, IOPS, Latency, NVMe, performance, Scale, Shared Storage
Posted in Video

Delivering Storage for Web-Scale IT in the Enterprise – Excelero Briefing Note

Posted on November 8, 2018 by George Crump

A web-scale data center needs to scale to support thousands if not millions of users. Web-scale application use cases range from traditional transactional IT to modern data analytics and machine learning workloads. It also includes new advanced video applications and…

Tagged with: Analytics, Excelero, Flash, HPC, IOPS, Latency, ML, NVMe, Scale, Software Defined
Posted in Briefing Note

Overcoming the Storage Challenges of Hyperscale Data Centers – Excelero Briefing Note

Posted on July 14, 2017 by George Crump

A hyperscale data center may have hundreds of instances of multiple applications. At any point in time one of these instances may peak and demand a much higher than normal amount of CPU and storage IO, starving other instances and…