How Standards Make DNA Storage Data Center Ready

When AWS S3 Keeps Changing, Who Keeps Up?

Your customers don’t care who wrote the code, they care that “AWS S3 compatible” actually works with the apps they already run. That’s why SNIA developed the Cloud Object Storage Plugfest Program – a collaborative, multi-vendor interoperability testing environment for S3 developers.  In this episode, we sit down with Cloud Object Storage developers, Mark Trinh (Oracle), Jason CWIK (DDN), Veer Kumar (Nutanix) and Michael Hoard (Chair of the SNIA Cloud Storage Technologies Community), to explain why this Plugfest is the fastest path to real S3 interoperability and faster bug fixes.    The Plugfest participants speak candidly about friction points in S3 compatible object storage: clients that behave differently than the documentation suggests, API options that leave too much room for interpretation, and edge cases that only appear when you test across many vendors. They highlight why AI-driven workloads are raising the stakes for S3 compatible storage and discuss why an NDA-based Plugfest model matters for fast troubleshooting, direct engineer-to-engineer collaboration, and practical fixes. SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

How Standards Make DNA Storage Data Center Ready

DNA data storage is moving from a fascinating research topic toward something that can eventually live alongside enterprise storage in real data centers, but the leap is not only about chemistry or sequencing speed. It is about manageability, interoperability, and standardized APIs that let operators monitor, provision, and troubleshoot systems at scale.  In this conversation, Vincent Franceschini, co-chair of the SNIA DNA Data Storage Alliance and Richelle Ahlvers, long-time chair of the SNIA Storage Management Community and primary author of the SNIA Swordfish® specification, connect the dots between a new storage medium and the standards-based management that makes it operable at scale. Archives are turning “active” because of AI, and long-term preservation is back in the spotlight. DNA data can become a durable data center technology if standards are built early, models are shared openly, and the community aligns on terminology, lifecycle operations, and monitoring so tomorrow’s archives remain readable and manageable for decades.   SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

Q&A Podcast for "From Data to Decisions: Understanding How AI Models Learn"

In the most recent webinar in the SNIA Data, Storage & Networking [https://www.snia.org/groups/dsn] “AI Stack” webinar series, “From Data to Decisions: Understanding How AI Models Learn [https://www.snia.org/educational-library/data-decisions-understanding-how-ai-models-learn],” Cal Foshee and Eric Gamble provided an in-depth look at how computer vision models learn. They shared specific techniques and concrete examples of how to train and test these models, drawing on their many years of experience. In this interview, Cal and Eric, take a deeper dive on the questions around how computer vision really works in production: small models working in sequence, bounding boxes as signal gates, and the relentless pursuit of pattern over assumption. Practical tips cover OCR, rotation, error bucketing, versioning, and why “fail fast” is more than a slogan. And webinar moderator, Erik Smith, explains what the “AI Stack” series is all about.  SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

“AI Stack” Webinar Series: Intro to AI/ML & FAQ

The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions:  •       Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks extracting features from massive datasets) •       Understanding the "token economy" monetization model where AI services charge based on inputs/outputs  •       Examining the shift toward on-premises AI deployments driven by data sovereignty, security concerns, and cloud cost management  •       Implementing security through data validation, sanitization, and guardrails to protect AI systems from misuse  •       Recognizing AI's transformative potential beyond current generative applications into agentic systems and physical embodiments   If you'd like to contribute to the AI Stack Webinar Series or have topics you'd like to see covered, contact the SNIA Data, Storage & Networking (DSN) chair at dsn-chair@snia.org or visit the SNIA website at snia.org.  SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

Introducing SNIA Storage.AI

SNIA Chair, J Metz, introduces SNIA Storage.AI™, an open standards project for efficient data services related to AI workloads. Storage.AI will focus on industry-standard, non-proprietary, and neutral approaches to solving AI-related data problems to optimize the performance, efficiency, and cost-effectiveness of AI workloads. Hear about the industry leaders who have combined forces to solve AI-related data challenges. Learn more at snia.ai SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]