Flash Memory Summit 2019
MSys Technologies is all set to “flash” Storage Expertise at FMS 2019!
Flash Memory Summit 2019 is round the corner and MSys Technologies is set to make its mark at the highly anticipated Flash memory event. We are thrilled to attend and present at the prestigious Flash Memory Summit!
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Why we look forward to Flash Memory Summit ‘19
Flash Memory Summit or FMS is the best networking and learning opportunity for storage aficionados. FMS displays mainstream applications, key technologies, and leading vendors that are driving the multi-billion dollar non-volatile memory and SSD markets. Storage Architects gather at Flash Memory Summit to discuss trends and innovations driving the adoption of flash memory in enterprise applications, as
well as in mobility and embedded systems.
The event features keynotes from renowned storage veterans such as Shigeo (Jeff) Ohshima (Toshiba Memory Corporation), Dr. Siva Sivaram (Western Digital), and Hongsok Choi (SK hynix) to name a few. Attendees can benefit from ample networking opportunities with like-minded professionals from across
the world. FMS is also a great place to connect with established and new storage vendors and suppliers.
Connect with MSys Technologies at Flash Memory Summit
Our Flash Maven, Arindam Sarkar will be representing MSys Technologies at FMS this year. Arindam will be presenting his paper “Fabrics/NVMe-oF – Storage’s New Magic-Wand.” His paper will discusss:
- Fabrics/NVMe-oF Current Trends
- Real-Life Project Insights
- 2020 Predictions (and NOT too farsighted)
Storage Solution Architect
Arindam has an impeccable knowledge of delivering Enterprise-class storage products, which lends him a flair for devising futuristic flash storage roadmaps for enterprises and ISV’s. If you’re up for a quick chat with Arindam, you can catch up with him to talk about
- Advances in Flash and how ISV’s can easily adopt them
- How NVMe-oF can help deliver transformative solutions for storage businesses
- How businesses can leverage Flash storage to maximize AI/ML output