AI - SNIA on Data, Networking & Storage

Storage for Automotive Q&A

January 10, 2022January 10, 2022 Tom Friend Leave a comment

At our recent SNIA Networking Storage Forum (NSF) webcast “Revving up Storage for Automotive” our expert presenters, Ryan Suzuki and John Kim, discussed storage implications as vehicles are turning into data centers on wheels. If you missed the live event, it is available on-demand together with the presentations slides.

Our audience asked several interesting questions on this quickly evolving industry. Here are John and Ryan’s answers to them.

Q: What do you think the current storage landscape is missing to support the future of IoV [Internet of Vehicles]? Are there any identified cases of missing features from storage (edge/cloud) which are preventing certain ideas from being implemented and deployed?

Revving Up Storage for Automotive

November 8, 2021November 8, 2021 Tom Friend Leave a comment

Each year cars become smarter and more automated. In fact, the automotive industry is effectively transforming the vehicle into a data center on wheels. Connectedness, autonomous driving, and media & entertainment all bring more and more storage onboard and into networked data centers. But all the storage in (and for) a car is not created equal. There are 10s if not 100s of different processors on a car today. Some are attached to storage, some are not and each application demands different characteristics from the storage device.

The SNIA Networking Storage Forum (NSF) is exploring this fascinating topic on December 7, 2021 at our live webcast “Revving Up Storage for Automotive” where industry experts from both the storage and automotive worlds will discuss:

Storage for AI Q&A

October 20, 2021October 20, 2021 Tom Friend Leave a comment

What types of storage are needed for different aspects of AI? That was one of the many topics covered in our SNIA Networking Storage Forum (NSF) webcast “Storage for AI Applications.” It was a fascinating discussion and I encourage you to check it out on-demand. Our panel of experts answered many questions during the live roundtable Q&A. Here are answers to those questions, as well as the ones we didn’t have time to address.

Q. What are the different data set sizes and workloads in AI/ML in terms of data set size, sequential/ random, write/read mix?

A. Data sets will vary incredibly from use case to use case. They may be GBs to possibly 100s of PB. In general, the workloads are very heavily reads maybe 95%+. While it would be better to have sequential reads, in general the patterns tend to be closer to random. In addition, different use cases will have very different data sizes. Some may be GBs large, while others may be <1 KB. The different sizes have a direct impact on performance in storage and may change how you decide to store the data.

Storage for Applications Webcast Series

September 8, 2021September 8, 2021 John Kim Leave a comment

Everyone enjoys having storage that is fast, reliable, scalable, and affordable. But it turns out different applications have different storage needs in terms of I/O requirements, capacity, data sharing, and security. Some need local storage, some need a centralized storage array, and others need distributed storage—which itself could be local or networked. One application might excel with block storage while another with file or object storage. For example, an OLTP database might require small amounts of very fast flash storage; a media or streaming application might need vast quantities of inexpensive disk storage with extra security safeguards; while a third application might require a mix of different storage tiers with multiple servers sharing the same data. This SNIA Networking Storage Forum “Storage for Applications” webcast series will cover the storage requirements for specific uses such as artificial intelligence (AI), database, cloud, media & entertainment, automotive, edge, and more. With limited resources, it’s important to understand the storage intent of the applications in order to choose the right storage and storage networking strategy, rather than discovering the hard way that you’ve chosen the wrong solution for your application.