SNIA's Cloud Object Storage community organized and hosted the industry first open multi-vendor compatibility testing (Plugfest) at SDC’24, in Santa Clara, CA. Most of the participants focused on their S3 server and client implementations. Community driven testing revealed significant areas to collaborate, including ambiguities among protocol options, access control mechanisms, missing or incorrect response headers, unsupported API calls and unexpected behavior (as well as sharing best practices and fixes). The success of this event led to community demand for more SNIA Cloud Object Storage Plugfests.
In this webinar, SNIA Cloud Object Storage Plugfest participants will discuss real-world issues hampering interoperability among various S3 implementations, from both server and client perspectives.
Explore cutting-edge innovations in solid-state drive (SSD) power efficiency and liquid cooling, designed to mitigate AI workload bottlenecks and reduce Total Cost of Ownership (TCO) in data centers. By focusing on optimizing SSD performance per watt, we can significantly enhance data center sustainability, operational efficiency, and economic viability.
Key topics include:
- NVMe® Power Tuning Techniques: Maximizing performance per watt through advanced power management strategies.
- SSD Controller Architecture Breakthroughs: Leveraging hardware offloads and computational storage innovations to improve energy efficiency.
- Liquid-Cooled SSD Technologies: Pioneering advancements in liquid cooling that enable significant reductions in power consumption and facilitate the transition to fan-less server designs.
By examining the latest trends in immersion and liquid cooling technologies, this presentation will demonstrate their critical role in driving data center performance, sustainability, and cost-effectiveness forward. Join us to discover how these advancements can help overcome challenges in high-density AI environments.
Agentic AI is an emergent and disruptive paradigm beyond generative AI that carries great promise and great risk. With generative AI, a large language model (LLM) generates content as the result of a prompt. With agentic AI, the language model now generates actions to execute on behalf of a user using tools at its disposal. It has agency to act on your behalf and even run autonomously. But how can this be done safely and effectively for enterprises?
This webinar will introduce Agentic AI and cover:
- What is agentic AI?
- What makes it different from generative AI?
- Adoption challenges and what to consider when evaluating solutions for enterprise use
- Sample use case
Join us to understand both the risks and benefits of agentic AI for enterprises use cases.
