Data centers continue to expand their environmental footprints, currently consuming 2% of the developed world’s electricity. Experts predict this number could rise to 13% by 2030. This webinar will cover energy-efficiency in data centers and ways to rein in costs and improve sustainability. This includes delivering more power efficiency per capacity, revolutionizing cooling to reduce heat, increasing system processing to enhance performance, and infrastructure consolidation to reduce the physical and carbon footprint. Hear our panel of experts discuss:

Explore the exciting and rapidly evolving world of decentralized storage and how it is bridging the gap between Web 2.0 and Web 3.0

The 37th MSST storage conference will be held the week of May 22, 2023 at Santa Clara University. As an initial resumption of the traditional in-person conference, MSST 2023 will hold three days of events, including five tutorials on Monday May 22 about file systems, storage, and metadata. The Invited Track runs on Tuesday May 23 and Wednesday May 24. Several panels are planned and breaks are provided to encourage the hallway conversations which have also been a proud part of the MSST tradition.

Intel Storage Technology Enablement Architect Richelle Ahlvers, Vice-Chair of SNIA’s Board of Directors and Chair of SNIA’s Storage Management Initiative, will speak May 9^th at 11:00 am ET at the BrightTALK Modern Storage Management Summit. The presentation, “Why Storage Management Standards Matter in Complex Virtualized Environments,” explores how cloud storage providers and enterprise datacenter developers can more effectively utilize virtualization and acceleration technologies with standards-based management.

Since its ratification in late 2018, NVMe/TCP has gained a lot of attention due to its great performance characteristics and relatively low cost. Since then, the NVMe/TCP protocol has been enhanced to add features such as Discovery Automation, Authentication and Secure Channels that make it more suitable for use in enterprise environments. More recently, as customers evaluate their options and consider adopting NVMe/TCP for use in their environment, many find they need a bit more information before deciding how to move forward and are asking questions such as:

Data Fabric is an architecture, set of services and platform that standardizes and integrates data across the enterprise regardless of data location (On-Prem, Cloud, Multi Cloud, Hybrid Cloud), enabling self-service data access to support various applications, analytics, and use cases. The data fabric leaves data where it lives and applies intelligent automation to govern, secure and bring AI to your data.

This session will discuss:

This webinar featuring panelists from Intel, Samsung, and VMware will discuss Persistent Memory , Compute Express Link™ (CXL™), and Memory Tiering; and how the ecosystem is working together to provide solutions for memory tiering using CXL for customer use cases.

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With cloud data privacy regulations evolving worldwide and accelerated adoption of AI technologies such as ChatGPT, Large Language Models (LLMs) and more, companies must ensure data and AI models are compliant. Confidential AI is a new collaborative platform for data and AI teams to work with sensitive data sets and run AI models in a confidential environment. It includes infrastructure, software, and workflow orchestration to create a secure, on-demand work environment that meets organization’s privacy requirements and complies with regulatory mandates.

The OCP Summit is the premier event uniting the most forward-thinking minds in open IT Ecosystem development. The 2023 OCP Summit theme is: Scaling Innovation Through Collaboration.

AI is disrupting so many domains and industries and by doing so, AI models and algorithms are becoming increasingly large and complex. This complexity is driven by the proliferation in size and diversity of localized data everywhere, which creates the need for a unified data fabric and/or federated learning. It could be argued that whoever wins the data race will win the AI race, which is inherently built on two premises: 1) Data is available in a central location for AI to have full access to it, 2) Compute is centralized and abundant.