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For enterprise leaders the marketing noise of Wi-Fi 8 is beginning to be replaced by concrete readiness indicators.
VAST Data announced support for NVIDIA’s recently unveiled Inference Context Memory Storage (ICMS) Platform, targeting the NVIDIA Rubin GPU architecture. The announcement addresses the challenge of managing KV cache data that exceeds GPU and CPU memory capacity as context windows scale to millions of tokens across multi-turn, agentic AI workflows.
At NVIDIA Live at CES 2026, NVIDIA introduced its Inference Context Memory Storage (ICMS) platform as part of its Rubin AI infrastructure architecture. NVIDIA’s ICMS addresses KV cache scaling challenges in LLM inference workloads.
The technology targets a specific gap in existing memory hierarchies where GPU high-bandwidth memory proves too limited for growing context requirements while general-purpose network storage introduces latency and power consumption penalties that degrade inference efficiency.
Dynatrace and Google Cloud have expanded their collaboration to provide observability capabilities for agentic AI workloads through two primary integrations: a Gemini CLI extension for developer access to observability data within terminal environments, and an A2A protocol integration with Gemini Enterprise for real-time system monitoring.
The enterprise infrastructure market is faced with disruption across multiple fronts. Traditional virtualization platforms face unprecedented disruption, while emerging AI-first workloads demand architectures that seamlessly span on-prem, cloud, and edge environments.
It’s against this backdrop that Nutanix, Cisco, and Pure Storage have collaborated to reimagine converged infrastructure with Cisco’s FlashStack with Nutanix.
Oracle released its Oracle Database 26ai at its recent AI World event in Las Vegas. The update makes the database an integrated platform that embeds artificial intelligence capabilities across data management, development, and analytics operations.
The platform integrates vector search capabilities with traditional database functions, supports agentic AI workflows through in-database tools and MCP servers, and extends analytics capabilities through Iceberg table format support. Oracle also bundles in advanced AI features, including AI Vector Search, at no additional cost.
At its 2025 Partner Summit in San Diego this week, Cisco announced three interconnected infrastructure initiatives to address the operational, connectivity, and edge-computing requirements of AI workloads.
The announcements span network management simplification through AgenticOps workflows, GPU-as-a-Service connectivity via SD-WAN integration with Megaport AI Exchange, and a new converged edge computing platform called Unified Edge.
Wind River Cloud Platform emerges as a compelling enterprise-grade alternative that addresses both immediate VMware challenges and long-term infrastructure modernization needs. Built on proven open-source technologies including StarlingX, Kubernetes, and OpenStack, the platform delivers unified management of both virtual machines and containers under a single, highly automated infrastructure solution.
This Research Report looks at how the Dell AI Data Platform addresses the challenges of AI-at-Scale with a purpose-built, modular approach that integrates file, block, and object storage into a unified system optimized for AI. Key components include data engines that enable aggregation, in-place querying, and searching across both structured and unstructured data sets, as well as storage engines that provide the necessary performance, scale, and security across on-premises, edge, and cloud environments.
Oracle recently announced its Oracle Autonomous AI at its Oracle AI World event in Las Vegas. The new offering combines Oracle’s Autonomous AI Database platform with native Apache Iceberg support. The offering addresses persistent enterprise challenges around data lock-in and platform interoperability by providing standardized access to data across multiple clouds and catalogs.
While the focus of CES 2026 remained on consumer electronics, this year felt different. More expansive, with the semiconductor industry dominating the pre-show with overlapping announcements that reveal diverging strategies for AI workload acceleration, manufacturing sovereignty, and market expansion beyond traditional computing segments.
HPE’s presence at NRF 2026 shows a broader industry shift toward “always‑on” retail
Most buyers never ask about it.
Most vendors never volunteer it.
But it’s the only part of the AP that actually matters: the silicon.
Jensen used the stage to argue that the world is shifting from CPU‑centric computing to AI‑driven, GPU‑first platforms, and the shift isn’t just for hyperscalers.
Just before the Holiday break, I participated in an advisory session on the current state of the neocloud market, which is continuing to experience significant growth as the demand for AI infrastructure continues unabated. Can it continue?
Here I’m sharing some of the notes I used for that discussion.
Just before the Holiday break, I participated in an advisory session on the current state of the memory and NAND market, which is experiencing a marked upturn driven by constrained supply of legacy DRAM products and surging demand from higher-margin products like HBM and DDR5.
Here I’m sharing some of the notes I used for that discussion.
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Sep 29-Oct 1 Data Center Power, San Antonio
Sep 29-Oct 2 SailPoint Navigate, Austin
Oct 6-9 IBM TechXChange, Orlando
Oct 10-11 Speaking Engagement, Chicago
Oct 13-17 Oracle AI World, Las Vegas
Oct 14-17 Dell Analyst Event, Austin
Oct 15-16 NetApp Insight, Las Vegas
Oct 17-19 Private Client Event, Austin
Oct 20-23 Lenovo Analyst Event, Raleigh
Nov 10-12 Client Analyst Event, San Antonio
Nov 17-19 OpenText World, Nashville
Dec 1-4 AWS re:Invent, Las Vegas
Dec 7-8 Marvell Analyst Event, Santa Clara