What’s Our Vector, Victor: A Deep Dive into Vector Databases and KV Cache with DDN

Scott Ekstrom and Eric Wright from DDN presented on vector databases and KV cache, emphasizing how tokens from large language model prompts are vectorized through an embedding table, creating learned vectors. These vectors, capturing context and semantics across multiple model layers, are stored in the KV cache, leading to significant data sizes even for small […]

Where Does KV Cache Fit in the Whole Data Path with DDN

Eric Wright and Scott Ekstrom of DDN presented on the role of KV cache within the data path, acknowledging that their title might be misleading, as the core focus is on measuring what truly matters in a complex, multivariate optimization problem. They emphasized that system changes are not isolated, likening it to squeezing a balloon […]

Concurrency at NVIDIA Cloud Partner (NCP) Scale with DDN

Eric Wright and Scott Ekstrom from DDN presented on achieving concurrency at NVIDIA Cloud Partner (NCP) scale, focusing on optimizing AI infrastructure to keep GPUs productive and profitable. They highlighted that AI has transformed storage from a perceived “boring” component into a complex challenge, as different AI models have vastly varying data consumption patterns. DDN […]

Designing and sizing an Al cluster with SkyD by Upscale

Designing and sizing an Al cluster with SkyD by Upscale. Nicolas Fevrier introduces SkyD (Sky Design), a new tool built by Upscale AI, to address the inherent difficulties in designing and sizing AI clusters. The complexity arises not from the concept itself, but from the immense scale of elements involved, such as thousands of GPUs, […]

Network Engineer Meet AI Cluster with Upscale AI

The session provides a worldview of AI clusters and the importance of the network infrastructure behind them. Aninda Chatterjee of Upscale AI tackles the challenge network engineers face in understanding complex AI clusters. It begins by contrasting traditional data center networking, characterized by north-south traffic patterns and three-tier architectures with spanning tree, against the evolution […]

Purpose Built for AI-Scale with Upscale

Upscale AI’s mission is pure-play AI networking: a networking infrastructure company that designs, builds, and engineers systems in-house. The company emerged from stealth mode in Q3 2025, having secured $50 million in funding and achieving a valuation of $2 billion, which enables it to hire top talent. Its 300-strong team comprises experts across silicon, systems, software, […]

Validating Large Al Cluster Fabrics Using Keysight Al Data Center Builder

Keysight aims to help organizations build sovereign AI and neoclouds by addressing critical challenges in validating large AI clusters and their underlying fabrics. The presentation highlights significant inefficiencies observed in AI training tasks, where over 43% fail, with half of these failures (21%) directly attributable to network issues. Such failures lead to expensive checkpoint reloads […]

Building Sovereign Al and Neoclouds From Components to Tokens with Keysight

Venkat Pullela, CTO of AI Infrastructure at Keysight, addresses the interesting topic of building AI infrastructure amidst geopolitical changes, focusing on the concept of sovereignty, where entities aim to build their own systems. The presentation covers what this new definition of sovereignty means and how hyperscalers, sovereign nations, and neo-clouds operate in this space, developing […]

The Design to Deployment Continuum Validating Al Infrastructure at Scale with Keysight

Venkat Pullela, CTO for AI infrastructure at Keysight, addresses the critical challenge of validating large AI clusters for capacity, capability, and deployment readiness. Pullela notes that the AI era introduces a unique problem where distributed, loosely coupled systems must operate synchronously, a departure from traditional multi-processor or hyperscale architectures. This demands a fundamentally new approach […]

Infrastructure as Code vs. Backup: Dreeze Made Strategic Choices

Avi Raichel, COO and co-founder of Dreeze, outlined three early strategic decisions that shaped their product, each with a credible alternative. The first decision addressed the common question of why Dreeze is needed if infrastructure as code (IaC) is already in use. Raichel explained that IaC is excellent for forward deployment and defining intent, but […]

Inventory Intelligence, Enterprise SaaS Architecture, and Application Recovery With Dreeze

Oded Kedem, CTO and co-founder at Dreeze, presented an in-depth look at the “under-the-hood” aspects of their platform, focusing on inventory intelligence, enterprise SaaS architecture, and application recovery. The presentation began by detailing Dreeze’s approach to inventory intelligence, which involves a strategic blend of deterministic code and AI. Data is first scanned and enriched from […]

Bridging Cloud Recovery Gaps for Application Revival with Dreeze

Ziv Kedem, co-founder and CEO of Dreeze, introduced his company’s solution for bridging critical gaps in cloud recovery, drawing on his extensive background in backup and recovery. He highlighted four key challenges customers face: not knowing all their applications, resources, and dependencies; only protecting data without considering other crucial components; manual and unorchestrated recovery processes; […]

Identifying Four Gaps in Application Recovery, with Dreeze

Avi Raichel from Dreeze introduced the presentation by highlighting a critical issue discovered through interviews with over 100 enterprises: while most companies can recover their data in the cloud, the application itself often remains non-functional, hindering business resumption. He noted that data restoration is considered “table stakes,” but the actual application recovery process is complex, […]

Introducing Cloud Native Application and Data Protection with Dreeze

Kevin Cole, Head of Product Marketing at Dreeze, introduced the company as a new cloud backup and recovery startup. Dreeze launched after spending over a year gathering feedback from large enterprises and partners on their ongoing challenges. The co-founders, Ziv, Oded, and Avi, bring over two decades of industry experience, having previously co-founded Kasha (now […]

Deep Dive Into a Network designed for AI workloads with CoreWeave

Min Jun, the Director of Product for networking, oversees all aspects of CoreWeave’s networking infrastructure, including data center front-end and back-end networks, isolation, security, and the backbone and edge. The presentation focuses on the critical networking components that enable high-performance AI training and inference. CoreWeave leverages a comprehensive approach, encompassing both back-end and front-end networks, […]

Accelerating GPUs with CAIOS, LOTA, and DFS on Coreweave Storage

Chris Milsted, a specialist field engineer, explained that CoreWeave’s primary goal is to keep expensive GPUs as active and close to 100% utilized as possible, especially as modern GPUs like the H100 and Vera Ruben deliver rapidly increasing bandwidth. These systems demand immense data speeds, with front-end network connections around 200 gigabits, posing a significant […]

AI CPU Deepdive, Sandboxes, and security demo with CoreWeave

Deok Filho, Product Manager for Sandbox at CoreWeave, discusses the emergence of sandboxes as a crucial new compute primitive for running AI agents. He highlights that while containers have been used for a long time with controls over networking, storage, and identity, agents, which have become proficient in complex tasks like booking tickets or writing […]

Scaling the Agentic Era with CoreWeave Compute

Harshdeep Singh Banwait, CoreWeave’s Senior Director of Compute, works with customers to understand their evolving workloads and collaborates with data center teams on infrastructure operations for all CPU and GPU instances. He highlighted recent innovations, noting that CoreWeave was one of the first cloud providers to bring up and rigorously validate an entire Vera Rubin […]

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