Formerly known as Wikibon

261 | Breaking Analysis | How NVIDIA is Creating a $1.4 Trillion Data Center Market in a Decade of AI

We are witnessing the rise of a completely new computing era. Within the next decade, a trillion-dollar-plus data center business is poised for transformation, powered by what we refer to as extreme parallel computing (EPC)—or as some prefer to call it, accelerated computing. While artificial intelligence is the primary accelerant, the effects ripple across the entire technology stack.

Nvidia sits in the vanguard of this shift, forging an end-to-end platform that integrates hardware, software, systems engineering, and a massive ecosystem. Our view is that Nvidia has a 10-to-20-year runway to drive this transformation, but the market forces at play are much larger than a single player. This new paradigm is about reimagining compute from the ground up: from the chip level to data center equipment, to distributed computing at scale, data and applications stacks and emerging robotics at the edge.

The On-Premises AI Challenge for Startups

Today’s AI startups are overly reliant on public clouds and risk missing the opportunity to bring AI to data that resides on-premises. Organizations increasingly want to bring intelligence to their proprietary data that resides on-prem, to do training and inference under their own control. Startups’ primary route to market is either through hyperscaler marketplaces, which typically de-emphasize on-prem deployments, or via direct sources. When going direct, startups lack the credibility and go to market breadth to scale efficiently. As such we believe an opportunity exists for startups to partner with infrastructure leaders that have a strong on-premises installed base and both the talent and go to market expertise to penetrate traditional enterprises. 

260 | Breaking Analysis | The Yellow Brick Road to Agentic AI

The road to agentic AI will be paved with stepping stones that progressively build on each other. Our research suggests that Agentic AI will not suddenly appear without a strong data foundation built on: 1) cloud-like scalability; 2) a unified metadata model; 3) data mesh organizing principles; 4) harmonized data and business process logic; and an orchestration framework that incorporates governance, security and observability.

A Discussion With Gleb Budman, Backblaze CEO and Co-founder

Illustration of hybrid cloud management and digital transformation featuring interconnected cloud icons, data networks, servers, digital grids, and AI symbols. The design represents a futuristic and business-oriented theme, highlighting concepts like cloud computing, cloud orchestration, and multi-cloud environments

Backblaze, a 17-year-old cloud storage company, is transitioning from individual consumers to enterprise clients, recently landing significant seven-figure deals. With over half a million customers and three exabytes of managed data, it offers end-to-end backup solutions and a growing B2 Cloud Storage service competing with Amazon S3 and Google Cloud.

Discover The Brand New Arctera.io

n a recent interview, Matt Waxman, Chief Product Officer of Arctera, discussed the company’s formation after the Veritas acquisition by Cohesity and is focusing on reinventing legacy data management products.

Their go-to-market strategy highlights resilience, compliance, and data protection, tailored to meet specific customer needs. The company effectively targets compliance management and infrastructure resilience personas, customizing marketing initiatives for better engagement.

Neuroscience-Enabled AIOps: A Conversation with Grokstream’s Casey and Josh Kindiger

Neuroscience-enabled AIOps

In today’s increasingly complex and distributed IT environments, AIOps (Artificial Intelligence for IT Operations) is emerging as a game-changing technology. In this Analyst ANGLE theCUBE Research explored the transformative potential of neuroscience-enabled AIOps with Casey Kindiger, CEO of Grokstream, and Josh Kindiger, President of Grokstream. The discussion provided insights into the evolution, challenges, and future […]

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