AI News and Blog Articles
Curated updates from the most trusted sources in artificial intelligence. Stay ahead without the noise.
Top AI News
Hand-picked stories worth reading right now97 articles found
Knowledge graph architecture gives enterprises ownership of the AI intelligence they create
Knowledge graph architecture has emerged from the concept stage, consigned to the realm of academia, to the production infrastructure stage, and the enterprises that shape it the right way will own the intelligence their AI creates. That's the central premise Shan Rizvi (pictured), founder and context architect at Thumos Care, is offering to practitioners who [...] The post Knowledge graph architecture gives enterprises ownership of the AI intelligence they create appeared first on SiliconANGLE.
CommonThread AI targets connected, trusted data as the foundation for enterprise AI
As enterprise AI matures, connected and trusted data is becoming the foundation for real business value. Graph technologies are helping organizations turn fragmented information into actionable intelligence. Fragmented enterprise data remains one of the biggest barriers to extracting value from AI. Most companies have data everywhere, completely fragmented, making graphs a natural fit because they [...] The post CommonThread AI targets connected, trusted data as the foundation for enterprise AI appeared first on SiliconANGLE.
HPE advances its self-driving networking strategy for the AI era
Hewlett Packard Enterprise is making networking central to its AI infrastructure strategy, with a vision for self-driving networks that can anticipate problems, automate operations and reduce the complexity facing enterprise IT teams. AI models and agents are placing new demands on enterprise networking as organizations move larger volumes of data between compute, storage and distributed [...] The post HPE advances its self-driving networking strategy for the AI era appeared first on SiliconANGLE.
Graphs move from niche database to enterprise knowledge layer for AI systems
As generative AI matures beyond its early experimentation phase, enterprises are converging on a shared architecture for grounding large language models in trustworthy data: the enterprise knowledge layer. Four years after the release of ChatGPT, most organizations have moved past haphazard experimentation and settled on a shared vocabulary and set of architectural patterns for production [...] The post Graphs move from niche database to enterprise knowledge layer for AI systems appeared first on SiliconANGLE.
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly - not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific AI workloads. Software is changing just as fast, and AI coding tools now generate in minutes what took months of effort a few years ago. With so much of computing now centered on AI, GPU kernels are a crucial com
AMD calls its shot, but the real race is engineering velocity
At AMD's Advancing AI event, Lisa Su called her shot - just like Babe Ruth. The question now is whether AMD has built the engineering machine to hit it. Last week, we argued that AMD's next reinvention did not require it to beat Nvidia. Rather, we said, the company needed to become the indispensable second platform in [...] The post AMD calls its shot, but the real race is engineering velocity appeared first on SiliconANGLE.
On theCUBE Pod: AMD nips at Nvidia's heels, and IBM undergoes quiet transformation
The artificial intelligence competition is no longer between large language models, but rather between AI systems. Advanced Micro Devices Inc. has shifted from being primarily a chip business to a secondary player in the race to build a system of intelligence. At the company's annual event last week, industry experts focused on the larger picture: [...] The post On theCUBE Pod: AMD nips at Nvidia's heels, and IBM undergoes quiet transformation appeared first on SiliconANGLE.
Exclusive: CollectivIQ targets AI costs with control platform
Boston-based startup CollectivIQ Inc. is targeting runaway artificial intelligence costs with a platform intended to give businesses control over how models are used. The company describes its product as an "AI consensus platform" that allows administrators to assign employees access to different classes of AI models according to their roles, departments, business requirements and budgets. [...] The post Exclusive: CollectivIQ targets AI costs with control platform appeared first on SiliconANGLE.
NASA Puts Google's Gemma Large Language Model in Orbit
The viability of orbital data centers hosting the largest and most capable large language models (LLMs) remains hotly contested. But enormous deployments that require thousands of GPUs aren't the only way LLMs might prove useful in space. NASA's Jet Propulsion Laboratory recently sent Google's Gemma 3 to space, achieving the first in-orbit demonstration of a vision-language model analyzing imagery from a satellite's own sensor. The system, known as NAVI-Orbital, used Gemma 3 to analyze images captured by a YAM-9 satellite built by Loft Orbital. Juan M. Delfa, technical group lead at NASA, said
Led By DeepSeek, 10 Frontier Labs Rush Onto The Crunchbase Unicorn Board In June
A total of 34 companies joined The Crunchbase Unicorn Board in June, altogether adding more than $110 billion in value, with 10 of those companies AI labs, which were collectively valued at $65 billion. Other leading sectors with multiple companies were in robotics and AI infrastructure.
Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems
The AI era runs on AI infrastructure. Many of these advanced systems are built and tested in Texas. Wistron opened its first U.S. manufacturing facility today in Fort Worth - a 324,000-square-foot greenfield plant producing superchips at the heart of some of the world's most capable AI systems. In front of an audience of Wistron [...]
NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide
NVIDIA Vera Rubin is here, and it's going gigascale. Vera Rubin NVL72 production is ramping up with racks running at partners CoreWeave, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure. Spanning 350-plus factory sites in 30 countries, Vera Rubin has the largest, most mature rack-scale supply chain ever assembled to meet customer compute demand. The [...]
Advancing next-gen AI with materials science innovation
The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and...
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none of them use today; a majority intend to switch or add providers within the year, many within a quarter. Buying decisions turn on integration and total cost of ownership rather than headline token price - which is fortunate, because most enterprises cannot yet see their unit economics clearly: GPUs sit at half utilizati
Google is a Leader and positioned furthest in Vision and highest in Execution in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms
For the second consecutive year, Google has been named a Leader in the Gartner® Magic Quadrant™ for Conversational AI Platforms. Google received the furthest and highest in positioning on the "Vision" and "Execution" axes and is now ranked #1 in three out of four Critical Capabilities Use Cases. We believe this recognition reflects our continued investment in frontier AI research, enterprise infrastructure, and helping customers move AI from experimentation into production at scale. More importantly, we believe it reflects the success of the organizations building with Gemini Enterprise for Cu
NVIDIA and Japan Bring Full-Stack AI and Robotics to Every Industry
Home to leading manufacturers, robotics pioneers and infrastructure builders, Japan is one of the world's centers of AI - building across the full stack with NVIDIA technologies. NVIDIA and its partners in Japan are this week showcasing the AI ecosystem's latest advancements. Check back here for updates. NVIDIA and SEGA Celebrate 30 Years of [...]
Google named a Leader in the 2026 IDC MarketScape for Worldwide Foundation Model Software
For years, we've built with a clear priority: putting the practical needs of the enterprise first. Long before generative AI dominated the headlines, we were focused on building the global infrastructure, security frameworks, and data platforms that power the world's largest organizations. We've always believed that technology is only as good as its reliability, security, and predictability in production. By anchoring our frontier research to this enterprise foundation, we can deliver models built specifically for business impact. We believe that approach is why Google has been named a Leader
Coveo targets the trust gap in AI-powered enterprise search
The emergence of artificial intelligence has raised expectations for enterprise search, but the results do not always inspire confidence. Users may encounter fragmented or irrelevant search results or receive answers that lack the context or security controls needed to determine whether the information is accurate. Coveo Solutions Inc. is addressing these challenges through its AI-Relevance Platform, [...] The post Coveo targets the trust gap in AI-powered enterprise search appeared first on SiliconANGLE.
What is sovereign AI - and why it will decide the winners and losers of the AI race
On the four dimensions of real sovereignty, the fifth dimension every chief financial officer is learning about the hard way, and why open source isn't a preference - it's the architecture. About this series: This is the first piece in a new SiliconANGLE editorial series on sovereign artificial intelligence - covering the definition, the geopolitical stakes, [...] The post What is sovereign AI - and why it will decide the winners and losers of the AI race appeared first on SiliconANGLE.
DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer
The race to build AI factories is well underway, and the winning organizations have learned that AI data infrastructure determines whether or not GPU investments pay off, while others are still scrambling to assemble workable solutions. That divide is the clearest indicator from the field, said Alex Bouzari (pictured), chairman, co-founder and chief executive officer of [...] The post DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer appeared first on SiliconANGLE.
TheCUBE Research finds Oracle's AI database move could unlock bigger multicloud returns
A new economic analysis from theCUBE Research found that migrating from a fragmented, on-premises data estate to Oracle Corp.'s Autonomous AI Database on Multicloud can deliver meaningful modernization value - and substantially larger returns when organizations use the platform to accelerate AI projects. The report, written by theCUBE Research analysts Dave Vellante and David Floyer, [...] The post TheCUBE Research finds Oracle's AI database move could unlock bigger multicloud returns appeared first on SiliconANGLE.
Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture
The race to serve AI inference faster and cheaper is exposing the hard limits of conventional chip architecture. As demand for real-time AI responses accelerates, the industry's standard response - stacking more high-bandwidth memory onto power-hungry silicon - is running into a wall, and logarithmic math may be the foundational rethink that breaks through it. [...] The post Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture appeared first on SiliconANGLE.
Argentum targets the capital stack as the missing layer in AI infrastructure buildout
The AI infrastructure boom has trained the industry's attention on silicon and power, but a more fundamental constraint within the capital stack is quietly throttling the speed of global data center deployment. As demand for AI compute continues to outpace infrastructure availability, a growing number of data center developers are stalling not because they lack megawatts [...] The post Argentum targets the capital stack as the missing layer in AI infrastructure buildout appeared first on SiliconANGLE.
The token economy: The state of AI mid-2026
Gigawatt factories in the Texas scrub. Thirty trillion tokens a day. A $30 billion storage company, a search engine built for machines, and a continent trying to buy its independence one graphics processing unit at a time. Three years after ChatGPT, the artificial intelligence business has stopped being a demo and started being an economy [...] The post The token economy: The state of AI mid-2026 appeared first on SiliconANGLE.
From Grid Constraints to Energy Abundance: How Envision's Gobi X Could Power Europe's AI Future [Sponsored]
At VivaTech's tenth edition, the question was no longer whether AI reshapes the physical world, but how nations can secure the infrastructure that powers it. Envision's Mission Gobi offers Europe one ...
Alex Karp, frontier models and the real fight for Enterprise AI
Palantir Technologies Inc. Chief Executive Alex Karp's recent broadside against the frontier model vendors put a knife to the throat of the central enterprise artificial intelligence debate. Karp's argument is that frontier model vendors (he didn't mention Anthropic and OpenAI by name) intend to suck the knowledge out of enterprises and destroy the "alpha" companies enjoy through [...] The post Alex Karp, frontier models and the real fight for Enterprise AI appeared first on SiliconANGLE.
AI's Volatile Power Use Quietly Tests Grid Limits
The rapid expansion of artificial intelligence infrastructure is typically framed as an energy problem. Data centers are projected to consume a growing share of global electricity demand: The International Energy Agency estimates they could account for 3 to 4 percent of total global consumption within this decade. Utilities are already adjusting long-term forecasts to accommodate anticipated growth from hyperscale facilities and high-density compute clusters. This framing captures scale. It misses behavior. The emerging issue is not simply how much power large-scale compute systems consume, bu
Sam Altman calls for US-led international forum to set global AI standards
Sam Altman is calling for a US-led international forum to set global safety standards for artificial intelligence, arguing that no single country should be left to dominate the technology. In an op-ed published Wednesday in the Financial Times, OpenAI Group PBC's chief executive (pictured) proposed "a US-led international forum that establishes accepted standards, provides expert [...] The post Sam Altman calls for US-led international forum to set global AI standards appeared first on SiliconANGLE.
Dell/Microsoft partnership: Three insights you may have missed from theCUBE's coverage of Dell Technologies World
For more than 35 years, Dell Technologies Inc. and Microsoft Corp. have collaborated on a wide range of enterprise technology offerings. From support for Azure hybrid cloud to server-based Windows solutions, Dell has a lengthy history of supplying co-developed and integrated products and services with Microsoft. This alliance has become even more important as organizations [...] The post Dell/Microsoft partnership: Three insights you may have missed from theCUBE's coverage of Dell Technologies World appeared first on SiliconANGLE.
Verkada takes Nvidia investment to expand its physical AI platform
Physical security company Verkada Inc. has taken an investment from Nvidia Corp. and signed a technical partnership with the chipmaker, the two said today, in a deal meant to speed up the artificial intelligence running across Verkada's 2.4 million connected devices. The size of the investment was not disclosed but comes seven months after Verkada [...] The post Verkada takes Nvidia investment to expand its physical AI platform appeared first on SiliconANGLE.
As AI Reshapes Global Energy Systems, Melbourne Leads Through Engineering Collaboration
This article is brought to you by Melbourne Convention Bureau (MCB) supported by Business Events Australia. As artificial intelligence accelerates global demand for compute, a parallel constraint is emerging with equal urgency: energy. From hyperscale data centers to electrified industries, AI is driving a step change in electricity demand. This is not a future challenge, it is a present, system-level issue requiring coordinated action across energy, infrastructure, and engineering disciplines. Around the world, the question is no longer whether AI will scale, but whether energy systems can sc
How NVIDIA's Inference Software Stack Powers the Lowest Token Cost
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, CPUs, networking and systems, and strengthened by a broad open source ecosystem, NVIDIA's [...]
How Jaiveer Singh Is Helping Robots - and Developers - Move Faster
When Jaiveer Singh talks about robots, he doesn't begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot's cameras and the engineering required before a robot can leave a demo floor to do something useful. As a robotics software engineer who leads the team behind [...]
The Lab Mistake That Might Revolutionize Computing
Today, you probably asked a question of a large language model, or accepted a connection suggestion on LinkedIn, or watched a recommended video on YouTube, or took a different route to work based on a traffic prediction from Google Maps. In other words, you probably used artificial intelligence. But what you might not know is how much energy that interaction consumed or why. AI requires processing massive amounts of data, which is usually done in large data centers populated by thousands of GPUs capable of executing up to trillions of operations per second. But each of those GPUs achieves that
Three insights you may have missed from theCUBE's coverage of Pure Accelerate
As enterprises advance their artificial intelligence initiatives, they're discovering that the real constraint isn't model sophistication - It's data. AI outcomes now depend on whether organizations can access, mobilize and operationalize data as an active system rather than a passive repository. This shift was a defining theme at Pure Accelerate 2026. The challenge is not simply [...] The post Three insights you may have missed from theCUBE's coverage of Pure Accelerate appeared first on SiliconANGLE.
The emergence of the web data infrastructure layer for AI
AI is booming. New use cases are emerging each day. To capitalize on the technology's potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of the web itself. The web was not designed...
Dell/AMD partnership: Three insights you may have missed from theCUBE's coverage of Dell Technologies World
With the AI factory becoming a key focus in enterprise IT, hybrid architecture has become equally important as organizations seek to generate workloads on-premises, in the cloud and at the edge. This is why enterprises are increasingly looking toward major players such as Dell Technologies Inc. and Advanced Micro Devices Inc. for production-scale deployment in [...] The post Dell/AMD partnership: Three insights you may have missed from theCUBE's coverage of Dell Technologies World appeared first on SiliconANGLE.
Nvidia and DDN target the economics of AI infrastructure
Realizing value from AI investment has become the ultimate prize for most enterprises today. This requires the ability of data and compute to work together, a key mission for the partnership between Nvidia Corp. and DataDirect Networks Inc. Both companies have been collaborating on solutions that facilitate consumption of AI across an organization, with a [...] The post Nvidia and DDN target the economics of AI infrastructure appeared first on SiliconANGLE.
OpenAI expands Daybreak with Patch the Planet and full GPT-5.5-Cyber release
OpenAI Group PBC today expanded its Daybreak cybersecurity program with a new open-source patching initiative called Patch the Planet, an updated Codex Security plugin, a partner program and the full release of its most capable defensive artificial intelligence model, GPT-5.5-Cyber. The push marks a shift in how OpenAI talks about AI and security. The company [...] The post OpenAI expands Daybreak with Patch the Planet and full GPT-5.5-Cyber release appeared first on SiliconANGLE.
AI, user data and the asymmetry of understanding
Every time users belatedly discover that an artificial intelligence feature has been drawing on their data in ways they did not fully grasp, the reaction is often an instinctive sense of violation - of trust, consent and privacy. Accusations and outrage have always followed potentially invasive AI integrations, with examples ranging from email content used [...] The post AI, user data and the asymmetry of understanding appeared first on SiliconANGLE.
Coherent Breaks Ground on Expanded Texas Facility, Scaling AI's Optical Backbone
AI runs at the speed of light. More and more, that light is made in Texas. Coherent broke ground today on an expanded manufacturing building in Sherman, Texas. The company makes the lasers, optical components and compound semiconductors that wire AI systems together - and runs what it calls the world's first 6-inch indium phosphide [...]
TwelveLabs' video AI finds new use cases on AWS Marketplace
Large language models have dominated headlines, but what about video AI? TwelveLabs specializes in multimodal AI models that can "watch" and analyze video content. Founded in 2020, the company has built a strong customer base around its video intelligence capabilities. "Over 80% of the world's data is now in video, yet it's the least understood," said Danny Nicolopoulos [...] The post TwelveLabs' video AI finds new use cases on AWS Marketplace appeared first on SiliconANGLE.
AI app development is rewriting the database market
The database market is experiencing a significant shift from providing isolated data layers to becoming a key resource for AI application development. A prime example of this can be seen in database vendor MongoDB Inc., which is attracting AI developers and entrepreneurs by offering MongoDB Atlas, its unified data platform, on AWS Marketplace. Organizations are racing [...] The post AI app development is rewriting the database market appeared first on SiliconANGLE.
Silicon Is Back: Playground Global's Decade-Long Bet On Hardware, Energy And Deep Tech Looks Prescient
In the decade-plus since Playground Global's founding, it has built its investment thesis around the idea that breakthroughs in science and engineering - not just software - would create the next generation of valuable companies. Company co-founder Peter Barrett breaks it down in this Crunchbase News Q&A.
Skydio CEO Adam Bry on why Silicon Valley shouldn't draw red lines for drone use
Today, I'm talking with Adam Bry, who is CEO of Skydio, the leading US maker of autonomous drones. Before we recorded this episode, I actually got to remotely operate one of Skydio's drones in the Bay Area from Adam's laptop in our podcast studio in New York and fly an indoor drone around our office. You can check out the full video of that on our YouTube channel. Beyond flying drones around the country, Adam and I talked about why Skydio is so focused on the enterprise market - I asked him a lot about working with police and military, but you'll hear him say a lot of Skydio's customers are ut
Mozilla Data Collective seeks to build AI's data economy around trust
Generative artificial intelligence has a data problem. For years, the typical approach to building gen AI models has been to gather as much data as possible by scraping vast swaths of the internet, training at an enormous scale and dealing with the consequences later. The result has been increasingly powerful technology, but also growing concerns [...] The post Mozilla Data Collective seeks to build AI's data economy around trust appeared first on SiliconANGLE.
AI economics reshape FinOps as enterprises seek greater visibility and control
As AI spending accelerates across enterprises, FinOps is shifting toward greater AI spend visibility and embedding financial accountability into everyday technology decisions. In a theCUBE interview at FinOps X 2026, Virtasant's Rajeev Laungani and Chevron's Colby Rozell described how the constant arrival of new models and services makes choosing and using them efficiently the first problem to solve. They argued that AI can remove friction from cost optimization, including modifying code, while keeping humans in the loop for higher-stakes decisions. Optimization at the code level is where the real cost granularity lies.
Three insights you may have missed from theCUBE's coverage of Snowflake Summit 2026
This article rounds up three insights from theCUBE's coverage of Snowflake Summit 2026, arguing that the next wave of enterprise AI is about the software and data infrastructure needed to make AI models useful in real businesses. Analysts Bob O'Donnell and Sanjeev Mohan, interviewed by theCUBE's Dave Vellante, frame Snowflake as a connector between proprietary data and frontier models. Customer examples from DoorDash, Fanatics and Whoop show how strong data foundations support analytics, personalization and large-scale AI workloads.
HPE's Unleash AI takes aim at the 'AI pilot trap'
Hewlett Packard Enterprise's Unleash AI program aims to help companies escape the 'AI pilot trap,' where AI experiments show isolated value but never scale across the business. The article cites studies showing low enterprise AI success rates and high project abandonment, plus warnings that current data infrastructure will fail without major upgrades. HPE's answer is Unleash AI, a program built on a curated ecosystem of vetted ISV partners and HPE Private Cloud AI, delivered as a turnkey stack to move enterprises from pilots to production.
Dell's Microsoft/AMD collaboration: Three insights you may have missed from theCUBE's coverage of Dell Technologies World
At Dell Technologies World, theCUBE covered how Dell's partnerships with Microsoft and AMD are reshaping enterprise infrastructure for AI. Dell executives and partners described rising AI deployment costs, including memory and storage cost volatility and runaway token spend, as the force driving creative new solutions. Among them is Dell's new Deskside Agentic AI, an on-premises or PC-based sandbox where AI agents can be built and tested locally without driving up cloud expenses.
Akash Systems brings diamond cooling to AI infrastructure
Akash Systems Inc. is applying lab-grown diamonds to cool the graphics processing units used in AI data centers. The company started in space, managing solar radiation on satellites, and says diamond is the most thermally conductive material on Earth, moving heat five times faster than copper. It targets neoclouds and enterprises and has begun deploying diamond-cooled servers using GPUs from Nvidia and AMD.
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
Researchers at the University of Twente in the Netherlands cut the energy used to train a large language model by up to 14 percent without slowing it down, by finely tuning how fast a GPU's clocks tick during computation. The method, presented at the Computing Frontiers conference in Sicily, adjusts the chip's speed at the level of tiny tasks called kernels rather than across whole training steps. In tests training a 1.3 billion parameter model, the approach saved roughly 14.6 percent of energy with only a 0.6 percent increase in training time. For an industry where a single frontier model trains on tens of gigawatt-hours, that share of savings is large.
Report: GKE Inference Gateway delivers up to 92% faster AI responses
Google Cloud reports that its GKE Inference Gateway cut the time an AI model takes to start responding by 92.8% compared with Amazon's Kubernetes service in an independent benchmark. The gateway routes AI requests to the exact server already holding the relevant data in memory, using a method called prefix caching. The same test showed 15.7% higher throughput and 62.6% lower delay between words as they stream out. Snap reported reusing cached data on 75 to 80% of requests in its own production setup.
Open-Source Software Is Starting to Help Robots Think
After open-source robotics hardware saved roboticists years of setup work, the harder task of getting robots to think is now also being open sourced. Companies including Hugging Face, Nvidia, and Alibaba have made significant bets on open-source robotics in the last two years, releasing tools and models aimed at reasoning, deciding, and acting. The article traces this shift from the early ROS framework to today's open AI stacks for robotics.
How Melbourne's AI and Data Center Flywheel Is Accelerating Research Innovation
This sponsored article from the Melbourne Convention Bureau describes how Melbourne is applying its experience hosting large global events to the infrastructure behind modern AI research. The city is positioned at the intersection of compute infrastructure, research intensity, and international collaboration. A central example is MAVERIC, described as Australia's largest university-based AI supercomputer, built by Monash University with NVIDIA, Dell Technologies, and CDC Data Centres. The piece frames these elements as a reinforcing research flywheel.
Accelerating Chipmaking Innovation for the Energy-Efficient AI Era
This sponsored article from Applied Materials argues that the AI era demands a new model for semiconductor R&D, one that concentrates talent around a shared platform rather than relying on sequential, siloed innovation. It contends that AI performance is increasingly limited by data movement and energy per bit, not compute alone, so the path to energy-efficient AI runs through system-level engineering across logic, memory, and advanced packaging. The piece describes a roughly $5 billion EPIC investment as the largest U.S. commitment to advanced semiconductor equipment R&D in history.
Boomi makes its AI control plane case: theCUBE's Boomi World keynote analysis
At Boomi World in Chicago, Boomi made its case that the next AI battle is over the AI control plane rather than individual models. TheCUBE's John Furrier and Gemma Allen analyzed CEO Steve Lucas's two-hour keynote, which focused on data activation, governance and execution at scale instead of model hype. Boomi's Agentstudio platform now runs more than 75,000 agents in production, with an Agent Control Tower built for governance and auditability across deployments.
AI ambition is crashing into a decade of deferred IT maintenance, says Red Hat CEO
Speaking at Red Hat Summit 2026, Red Hat CEO Matt Hicks argued that enterprise AI ambition is colliding with a decade of deferred IT maintenance and technical debt. He says boards demand returns on AI while IT teams remain buried under unresolved complexity, making a return to basics like patching and simplicity nonnegotiable. Red Hat positions Ansible and Red Hat Enterprise Linux as the tools to close that maintenance gap before scaling production AI.
Red Hat and Intel spotlight scalable AI inference as enterprises move beyond the GPU gold rush
Speaking at Red Hat Summit 2026, leaders from Red Hat and Intel argued that the next phase of AI will be decided by scalable, cost-efficient inference rather than raw power. As enterprises move from testing AI to broader adoption, they are balancing CPUs and GPUs rather than relying on GPU-heavy clusters. The two companies are collaborating to bring full vLLM support for Intel Xeon to Red Hat AI 3.4.
Sam Altman testifies in landmark OpenAI trial, says Musk wanted control of company
OpenAI co-founder and CEO Sam Altman testified in a high-stakes trial brought by Elon Musk, who alleges Altman and OpenAI president Greg Brockman betrayed the founding mission by turning a nonprofit into a for-profit venture. Altman denied that Musk ever opposed the for-profit conversion and said Musk had wanted majority control of the company. OpenAI counters that Musk seeks revenge as a competitor through his company xAI.
What to expect during Dell Technologies World: Join theCUBE May 18-20
Dell Technologies is positioning the AI factory as the next model for enterprise infrastructure as it prepares for Dell Technologies World in Las Vegas, May 18-20, covered by theCUBE. The company has deployed AI factory systems to more than 4,000 customers, and its AI server sales have climbed from $10 billion in early 2025 to $25 billion, with predictions of $50 billion this year. Analysts say the focus will be on AI factories as integrated systems and on measurable return on investment.
Neutralizing the Gigascale Problem: How to Solve the Physical Power Paradox of Extreme AI Training Loads
This sponsored article from Ampace argues that the main bottleneck for gigascale AI training is no longer chip heat or cooling, but the dynamic resilience of the power chain. Massive GPU clusters create high-frequency, abrupt, synchronized pulse loads that strain local grids and exceed the response speed of diesel generators and gas turbines. Ampace positions its semi-solid-state battery cells, paired with Eaton's UPS architecture, as a high-speed buffer that neutralizes millisecond-level power spikes at the source.
Your Next AI Query May Travel Where the Power Is
To cope with power-hungry data centers, Nvidia and partners plan a pilot that builds small data centers next to utility substations and operates them as one coordinated fleet, shifting computation based on power availability. They plan about 25 micro data centers, each 5 to 20 megawatts, across five U.S. utilities later this year. The approach taps spare capacity at substations and lets developers secure scarce grid power in small chunks while building energy flexibility into AI compute.
On theCUBE Pod: IBM Think goes AI first and Musk buries the hatchet with Anthropic
On theCUBE Pod, analysts Dave Vellante and John Furrier discuss takeaways from IBM Think, where CEO Arvind Krishna emphasized AI as the operating model of the future and positioned IBM's platform as a control plane for AI and quantum infrastructure. They debate whether IBM undersold its potential and whether its Red Hat ecosystem can challenge larger AI players. They also cover SpaceX's surprise deal to give Anthropic its compute capacity, no longer used for Grok.
AIR, ARR and AI: Inside RingCentral's transformation into an AI-first engagement platform
RingCentral's latest quarter shows the company shifting from a unified-communications provider into an AI-first customer engagement platform, with RingCentral AIR at the front door of conversations. Q1 2026 revenue rose about 5% to $644 million, and annual recurring revenue from customers using at least one paid AI product passed 10% of total ARR, doubling year over year. The company expanded RingCentral AIR, its AI receptionist, with new SMS, call queue and ecosystem integrations.