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The Next Platform: In-depth coverage of high end computing

Uncle Sam Awards $2 Billion-Plus To Quantum Companies, But Wants A Cut Oak Ridge Starts Weaving Together A Quantum, Classical HPC, And AI System Stack Dell Bulks Up Hardware As AI Infrastructure Shifts To On-Premises Cisco Wins Over AI Customers With Merchant Silicon And Optics With Its IPO Done, Cerebras Can Get Back To Pushing The AI Envelope HPE Throws VM Users A Lifeline, Unifying Containers And VM Management In Cloud Stack OpenAI, Microsoft And Friends Build A Better, More Scalable Ethernet Compute And Memory Price Hikes Drive IT Spending Way Higher Sometimes, Air Is The Only Way For AI Systems To Keep Their Cool Arista Rides AI Scale Out Networks, Moves Into Scale Across, And Awaits Scale Up If You Can Make A Compute Engine, You Can Sell A Compute Engine Cleveland Clinic Simulates Large Proteins With Quantum-Centric Supercomputing Broadcom Helps CPU And XPU Makers Go Vertical With Compute Microsoft Committed To Doubling AI Infrastructure In Two Years Google Is A Full Stack AI Player, And Is Playing Well AWS Will Be An OEM, Just Like Google And Maybe Microsoft New Google Networks Tuned Up For GenAI Inference And Training Microsoft And OpenAI Remain Friends, Are Looking To Hook Up With Others AI-Driven CPU Shortage Saves Intel’s Financial Cookies The GenAI Battle Shifts From Frontier Models To Agentic Platforms With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger Cisco Scales Out Quantum Systems With A Quantum Network Switch The Second Time Will Be The IPO Charm For Cerebras Imagine An Army Of AI Minions Handling Incident Response AI Will Soon Drive A Third Of TSMC’s Business Bechtolsheim & Friends Breathe Life Into Pluggable Optics One Last Time How HPC And AI Digital Twins Accelerate Quantum Error Correction The Embrace Of AI In Design Transforms Cadence And Its Customers Nvidia Brings The Power Of Open Source AI Models To Quantum Computing Building The Imperfect Beast For Enterprises, GPUs Need Virtualization As Much As CPUs Ever Did CoreWeave Takes As Much Financial Engineering As It Does Datacenter Design Contemplating Meta’s Homegrown MTIA Compute Engine Roadmap Most Neoclouds, Sovereigns, And Enterprises Will Buy, Not Build, Their AI Stacks Broadcom And Google Benefit Mightily From Anthropic’s Meteoric Growth Rebellions AI Rings Up The Money To Rack Up AI Inference Systems Nvidia Software Pushes MLPerf Inference Benchmarks To New Highs The $2 Billion Nvidia Deal With Marvell Is About A Lot More Than NVLink Fusion Classiq Says Quantum Is On Its Way, But Patience Is Needed Demonstrating The Scientific Usefulness Of Quantum Systems We Need Servers – Lots Of Servers. . . . Arm Comes Full Circle With Homegrown, AI-Tuned Server CPU Riding The Memory Boom And Trying To Avoid The Bust Data Analytics Helps Make The Mighty Lionesses Roar Driving Down The AI System Roadmap With Nvidia The Open Agentic AI World According To Nvidia Nvidia Finally Admits Why It Shelled Out $20 Billion For Groq Nvidia Says OpenClaw Is To Agentic AI What GPT Was To Chattybots IBM Unrolls Blueprint For Quantum-Classical HPC Computing Women Get Data-Driven Health Boost As The FA Tackles Sports Science Four Months Into Its Comeback, Zapata Stakes Its Claim In Quantum Software Eridu Cuts To The AI Networking Chase With High Radix Switch System HPE Works Harder And Smarter To Chase Datacenter Profits We Need A Proper AI Inference Benchmark Test How AI Is Boosting Gender Equality In High Performance Racing Custom Compute Engine Biz Growing More Than Marvell Ever Hoped Broadcom May Become The Biggest Counterbalance To Nvidia Ayar Labs Gets $500 Million To Ramp Photonics Into 2028 AI Systems With Cisco Outshift, Agentic AI Is Teed Up For the Internet Of Cognition Nvidia Sees The Light On Silicon Photonics And Maybe Optical Switching AI Servers Finally Dominate Dell’s Systems Business VAST Data: What Controls The Data Is More Important Than What Stores It So Far, Nobody Turns Tokens Into Money Like Nvidia SambaNova Pits Its Engineering Against Nvidia For Agentic AI Some More Game Theory, This Time On The AMD-Meta Platforms Deal AMD Says “Helios” Racks And MI400 Series GPUs On Track For 2H 2026 CPU-Only Compute Still Matters To A Lot Of HPC Centers Taalas Etches AI Models Onto Transistors To Rocket Boost Inference Some Game Theory On That Nvidia-Meta Platforms Partnership AI Eats The World, And Most Of Its Flash Storage The Current AI Networking Wave Will Be A Tsunami Of Money By 2027 The Memory Crunch Pinches Cisco’s Profits Only A Few AI Platforms Can Survive The Greatest AI Show On Earth Cisco Doubles Up The Switch Bandwidth To Take On AI Scale Out And Eventually Scale Up Datacenter Spending Forecast Revised Upwards – Yet Again The Twin Engine Strategy That Propels AWS Is Working Well With GenAI Turbochargers, Google Is Shifting Its Cloud Into A Higher Gear AMD Finally Makes More Money On GPUs Than CPUs In A Quarter Dassault And Nvidia Bring Industrial World Models To Physical AI TACC Explores Mixed Precision And FP64 Emulation For HPC With Horizon Robotics Will Break AI infrastructure: Here's What Comes Next Oracle’s Financing Primes The OpenAI Pump Gartner Takes Another Stab At Forecasting AI Spending Microsoft Is More Dependent On OpenAI Than The Converse Big Blue Poised To Peddle Lots Of On Premises GenAI Microsoft Takes On Other Clouds With “Braga” Maia 200 AI Compute Engines Nvidia’s $2 Billion Investment In CoreWeave Is A Drop In A $250 Billion Bucket Intel Is Still Struggling In The Datacenter, But It Could Get Better Is Nvidia Assembling The Parts For Its Next Inference Platform? TSMC Has No Choice But To Trust The Sunny AI Forecasts Of Its Customers Cerebras Inks Transformative $10 Billion Inference Deal With OpenAI By Decade’s End, AI Will Drive More Than Half Of All Chip Sales Startup Quantum Elements Brings AI, Digital Twins To Quantum Computing D-Wave Makes Gate-Model Power Move With Quantum Circuits Buy Building The Future Of Software In The AI-Native Era Arista Modular Switches Aim At Scale Across Networks, Hit Scale Out, Too NextSilicon Takes Aim At CPUs And GPUs With “Maverick-2” Dataflow Engine How HPC Is Igniting Discoveries In Dinosaur Locomotion – And Beyond Oracle First In Line For AMD “Altair” MI450 GPUs, “Helios” Racks
Broadcom Makes Its Pitch To Run Kubernetes On VMware VCF
Jeff Burt Jeff Burt · 2026-04-02 · via The Next Platform: In-depth coverage of high end computing

Broadcom’s $69 billion acquisition of virtualization pioneer VMware in late 2023 sent ripples through the tech industry that unsurprisingly focused on the skyrocketing price increases of as much as 300 percent to more than 1,000 percent and a sharp turn away from perpetual licenses to subscription-based licensing sent customers – many of them smaller or midsize companies – looking for a safe harbor elsewhere.

And there were plenty of competitors, from Nutanix to Red Hat to Hewlett Packard Enterprise, throwing out pitches and programs to entice those organizations to see them as their landing spot. It drew a lot of headlines, and rightfully so. Changes were happening quickly at a stalwart of the modern datacenter.

Through the noise, Broadcom and VMware executives steadily beat the drum of their strategy to establish VMware Cloud Foundation (VCF) as the foundation for what VMware would be going forward, a more streamlined company that would focus on what they saw as the future – enterprise workloads gravitating to the private cloud, making the transition from Amazon Web Services (AWS), Google Cloud, Microsoft Azure, and other public cloud platforms.

The general availability of VCF 9 last year was the latest step in that direction.

At the VMware Explore 2024 event, Broadcom president and chief executive officer Hock Tan told attendees that their company executives had been enthralled with the public cloud and steered their businesses in that direction.

“Because of this, I say to you, you all are suffering from PTSD,” Tan said. “It’s very simple: the future of the enterprise – your enterprises – is private cloud. It’s about staying on-prem and in control.”

Earlier this month, Krish Prasad, senior vice president and general manager of Broadcom’s VMware Cloud Foundation Division, wrote about the billions of dollars being directed to building AI datacenters and manufactures adopting expensive technologies like high-bandwidth memory for GPUs, and said that industry has reached the point where companies can’t keep throwing money to address the accelerating demand for AI infrastructure.

“Within the VMware Cloud Foundation business in Broadcom, we believe the answer to a hardware crisis like this isn't more hardware – it’s building a modern private cloud based on smarter software,” Prasad wrote.

VMware this week is in Amsterdam, at the KubeCon Europe 2026 show, with executives bringing with them a message for ongoing support for Kubernetes and the open source world. It’s a message that dates back to the early days of VMware, according to Prashanth Shenoy, vice president of product marketing for the VCF Division.

“Contributing and supporting open source project has been the heritage since our VMware days and it continues to be in the DNA as part of Broadcom,” Shenoy told journalists in a briefing before the KubeCon show opened. “This is very critical for us and Broadcom is really excited and proud to be among the top five long-term contributors to the Kubernetes community. Open source is a big part of our identity. We are not only the consumers of this project but active contributors to the project to help simplify Kubernetes operations, increase resiliency, enhance security, etc.”

What VMware is talking about at the conference is aimed at continuing to expand the Kubernetes features throughout its offerings, continuing to contribute projects to the open source community, and building more pathways for developers and platform engineering teams to access tools from ecosystem partners.

Shenoy stressed the benefits of adopting VCF with the latest iteration of VMware’s vSphere Kubernetes Service (VKS) Kubernetes runtime – version 3.6, which was released in February – as the antidote to increasingly complex cloud infrastructures and the growing numbers of AI and other advanced workloads.

VKS includes a range of Cloud Native Computing Foundation (CNCF) open source services, such as Pinniped (authentication), Antrea (networking), and Velero (backup and restore), as well as other services for AI, VMs, GitOps, and data, supporting both VM and container workloads.

“We've also now built in multi-cluster management, which simplifies operation across multi-tenant environments and provides lifecycle management, policy enforcement, and governance, which is very crucial for organizations to scale Kubernetes across multiple different line of businesses, multiple teams, or multiple clouds,” Shenoy said, adding that this supports a range of users, from BI administrators to platform engineers to lines of business and developers.

VKS 3.6 supports Kubernetes 1.35, the latest version, allows for organizations to integrate Container Network Interface (CNI) plugins to expand their networking options while staying consistent with support and lifecycle.

VMware also is expanding OS choices in VKS cluster nodes by bringing in support for Red Hat Enterprise Linux (RHEL) 9, joining Photon OS 5, Ubuntu 22.04 and 24.04, and Windows Server 2022 as supported operating systems for VKS cluster nodes. Other new third-party offerings supported in VKS 3.6 include F5’s Big-IP Container Ingress Services, Kong’s API Gateway, and Tigera Calico Enterprise.

In addition, the vendor is contributing the Velero project to the CNCF’s Sandbox. Velero is a Kubernetes-native tool for backing up, restoring, and migrating Kubernetes clusters and applications that protects cluster-level resources and persistent data, ensuring users have disaster recovery and workload portability capabilities.

“Velero is very critical for organizations because Kubernetes, by default, doesn't provide built-in cluster level backup or recovery,” Shenoy said. “Using Velero helps organizations to protect their stateful applications and data, recover very quickly from outages or failures, as well as move workloads across different Kubernetes clusters or workload environment.”

VMware also is pushing its AVI load balancer as an alternative to the open source NGINX, a popular Ingress load balancer that the Kubernetes community in November 2025 announced would be retired, effective this month. Shoney said Avi is “more than just a replacement for this NGINX controller. It's an architectural upgrade. It is natively supported now with VKS on VCF deployments with native integration.” VMware is offering a conversion kit to make it easier for organizations to transition to Avi.

The focus of VMware’s efforts to ensure enterprises have a Kubernetes-based option to the increasing infrastructure and technology complexity, disconnected tools and teams, security and compliance issues, and accelerating development of AI.

“With AI is evolving really rapidly literally every few weeks, it's difficult to find and retain talent with expertise in Kubernetes, AI, DevOps and cloud development and deployment,” he said. “With distributed applications [and] faster release cycle, these platform engineers need to maintain a secure and compliant environment, which is more and more critical and complex than ever before. We also see that tools problem becoming a pain point. Different teams adopt different tools for similar problems, and that results not only in operational inefficiency, but also in overlaps and poor integrated solutions. This is where we believe VKS truly helps IT organizations, by providing them the perfect choice for deploying and running their modern applications.”