The Next Platform
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The Next Platform launched February 23, 2015, providing in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Source
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| Scope | International, Trade/B2B |
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| Language | English |
| Country | United States of America |
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| Frequency | Daily |
| Days Published | Mon, Tue, Wed, Thu, Fri, Sat, Sun |
Recent Articles
Search ArticlesBuilding The Future Of Software In The AI-Native Era
Code PARTNER CONTENT We are entering a new era where AI isn’t just a tool for transformation but the foundation for reinvention. Frontier firms aren’t waiting. Already, they’re architecting the future with agentic systems, intelligent infrastructure, responsible practices, and resilient data platforms, compounding their competitive advantage. What took months to prototype a year ago now takes hours. The combination of adoption, responsibility, and velocity signals a durable phase of value creation.
For Enterprises, GPUs Need Virtualization As Much As CPUs Ever Did
The use of AI by Nutanix is already contributing to the firm’s bottom line. However, it will be a little longer before agentic AI really impacts the bottom lines of its customers, the company’s chief executive officer, Rajiv Ramaswami, says.
Most Neoclouds, Sovereigns, And Enterprises Will Buy, Not Build, Their AI Stacks
Nutanix is banking on AI hardware constraints and ongoing disenchantment with VMware to bolster its effort to position its Cloud Platform as a “complete platform for the Agentic AI era” as it kicks off its annual customer conference in Chicago this week. The company unveiled additional features for the Nutanix Agentic AI platform it unveiled at Nvidia’s GTC 2026 event last month.
Data Analytics Helps Make The Mighty Lionesses Roar
Jump to main content The Football Association has been working with Google Cloud technology to enhance the selection, development, training, and performance of the high-profile England women's team. The partnership has focused particularly on making football more accessible and inclusive by using data to support The FA's “Inspiring Positive Change” strategy.
Women Get Data-Driven Health Boost As The FA Tackles Sports Science's Male Bias
Despite a lack of available historical data on women's physiology, The Football Association in England is working with Google Cloud to analyze new data sources and optimize the Lionesses' physical and mental health. Sports science from biomechanics to injury prevention has traditionally been based around male physiology. In fact, a 2024 audit of 937 research papers found that only 4 percent evaluated female-only cohorts, while a huge 79 percent focused on men.
How AI Is Boosting Gender Equality In High Performance Racing
Jump to main content Formula E and Google Cloud are developing an AI-based Driver Agent to provide racers with the real-time performance feedback and personalized coaching support that was once the sole domain of top tier professionals. A historic dearth of data and ensuing under-investment in female-specific training and support is holding too many women athletes back. There are many reasons for this lack of information.
How HPC Is Igniting Discoveries In Dinosaur Locomotion - And Beyond
HPC In the basement of Connecticut’s Beneski Museum of Natural History sit the fossilized footprints of a small, chicken-sized dinosaur. Each track is more than a preserved impression; it’s a data record, holding clues to how the animal once moved. Unlocking that information, however, requires a tool that never existed in the Mesozoic: high performance computing.
Here's What Comes Next
AI SPONSORED CONTENT Physical AI and robotics are moving from the lab to the real world – and the cost of getting it wrong is no longer theoretical. With robots deployed in factories, warehouses, and public settings, large-scale simulation has become tightly coupled with real-world operations. Physical AI companies need new types of infrastructure to continuously build, train, simulate, and deploy models that operate in dynamic, physical environments.
AI Is Coming To Solve Your System Outages
Control SPONSORED Your phone buzzes at 2 AM. The website is down. Slack has become a wall of red alerts, and customers are already tweeting. You stare at the screen, still half-asleep, trying to figure out where to even begin looking. This is the ritual that site reliability engineers (SREs) know too well. These are the folks that must keep online services running at all costs, and when those services go down, stress levels soar.
Attending GTC? Join Us For An Exclusive Roundtable Dinner On AI Data Platforms
AI AI projects don’t fail because models don’t work or GPUs lack performance. They fail because data can’t keep pace. Enterprise teams have foundation models working. They have GPU capacity. But when they try to scale AI across hybrid and multi-cloud environments, data becomes the bottleneck. Distributed data stays fragmented. Real-time inference stalls waiting for pipelines to deliver. GPUs sit underutilized. This is the problem keeping infrastructure leaders awake at night.