Tech Field Day

AI inference is increasingly challenged by managing vast amounts of context, shifting the focus from raw compute power to efficient memory and storage solutions. Effective context management, including storage, retrieval, and reuse, is critical for enhancing AI responsiveness, scalability, and operational efficiency in modern systems. For further insights from the Solidigm pr...

Modern IT environments struggle with fragmented data across numerous observability tools, leading to complex troubleshooting, prolonged outages, and significant business impact. Solutions like Selector address this by unifying data from existing infrastructure into a central data lake, employing an ELT approach to correlate diverse datasets and identify root causes efficientl...

Pete Welcher has compiled an extensive list of blog posts and articles from Networking Field Day 40. This valuable resource covers insights from various vendors, including Arista, Cisco, Nokia, Netris, Aviz, Lightyear, and NetAI, with contributions from multiple industry experts on key networking and technology topics. Stay informed on Networking Field Day 40 by exploring add...

NetAI advocates for a graph-native AIOps approach, recognizing that networks are inherently graph-based structures. By leveraging Graph Neural Networks, this methodology accurately identifies root causes, defines the blast radius, and significantly accelerates service restoration, leading to improved operational efficiency. Thanks to Mike Hoffman for writing this article foll...

Frederic Van Haren highlights that effective data management, rather than solely compute power, is the critical constraint in today's AI infrastructure. Organizations should prioritize unified data platforms and optimize existing resources to enhance data access, utilization, and governance, yielding faster returns than immediate hardware upgrades. For further insights into A...