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2026 is predicted to be the year that AI moves from pilot to production, becoming measurably useful across the enterprise. But while many businesses are ready, the underlying infrastructure doesn’t seem to be, particularly when it comes to next-stage inferencing. Nvidia says it has overcome these limitations, achieving what it calls a “milestone” in accelerated computing. The chip company today unveiled the Nvidia Groq 3 LPX inference accelerator for Vera Rubin GPUs. The combined architecture is optimized for “trillion-parameter models and million-token context” that Nvidia claims can deliver up to 35X higher inference throughput per megawatt, and up to 10x more reve

HPE and Nvidia have boosted their partnership, adding a new server blade, GPU support, enhancements to HPE’s turnkey private AI package, and services targeting enterprise customers with growing AI workloads. A considerable portion of the HPE-related news coming from Nvidia’s GTC event is aimed at the high end of the AI workload spectrum and targets service providers and neocloud operators. For example, HPE announced its Nvidia Vera Rubin NVL72 rack-scale system (pictured) that it says is capable of supporting in excess of 1

More processor coverage on Network World:Intel news and insights | AMD news and insights With its legacy of innovation in GPU technology, Nvidia

ThousandEyes, a Cisco company, monitors how ISPs, cloud providers and conferencing services are handling any performance challenges and provides Network World with a weekly roundup of events that impact service delivery. Read on to see the latest analysis, and stop back next week for another update on internet and cloud traffic performance. Note: We have archived prior-year outage updates, including our reports from 2025, 2024,

Cato Networks this week launched two additions to its secure access service edge (SASE) platform that the company says will address security challenges enterprises are facing now: protecting the AI tools end users rely on, while also using AI to defend against sophisticated threats. Cato Neural Edge deploys Nvidia GPUs across the

The global shortage of semiconductor wafers will not ease before the end of the decade, SK Group Chairman Chey Tae-won said, delivering one of the most definitive long-range forecasts yet from the executive of the world’s leading supplier of high-bandwidth memory chips. Speaking to reporters on the sidelines of Nvidia’s GTC Conference in San Jose, California, Chey said the industry faces a wafer deficit of more than 20% and that at least four to five years of capacity building lie ahead before supply can match demand. “The current shortage could continue until 2030,” Chey said, according to a

Nvidia has selected Intel’s Xeon 6 processors as the host CPUs for its Nvidia DGX Rubin NVL8 systems. The DGX Rubin NVL8 is part of Nvidia’s next flagship AI system portfolio, designed to help companies accelerate agentic AI adoption. The DGX Rubin NVL8 systems are designed for large-scale AI workloads, combining eight Rubin GPUs with high-bandwidth memory and interconnects to support high-throughput inference and data movement. The systems are powered by Intel Xeon 6776P processors as host CPUs. The platform also uses NVLink technology to enable fast communication between GPUs for parallel processing. The Xeon 6 CPU will provide architectural continuity and scalability fo

Nvidia introduced its Vera Rubin platform, which combines compute, networking, and data processing into rack-scale deployments for large AI data centers, underscoring a shift in hyperscale environments toward more tightly integrated infrastructure. The company said the platform integrates its Vera CPU, Rubin GPU, NVLink 6 switch, ConnectX-9 SuperNIC, BlueField-4 DPU, and Spectrum-6 Ethernet switch, along with the newly added Groq 3 LPU, into a single system designed to operate as an AI supercomputer. The architecture is designed to support all stages of AI workloads, from large-scale training and post-training to real-time inference, and is aimed at so-called

Hyperscaler data center projects are plagued by a host of issues: delayed time-to-market, capacity constraints, and supply chain issues. However, secure edge infrastructure provider Available Infrastructure aims to offer a different experience: A “nationwide fleet of cybersecure, private neocloud edge data centers.” Through a new $5 billion initiative, Project Qestrel, the company has an ambitious plan to bring 1,000 locations in 100 US cities and 30-plus states online by the end of this year. Each site will be equipped with high performance compute (HPC) infrastructure and AI inferencing capabilities, which the company says will bring sites online “in weeks to months, n

Cisco (Nasdaq:CSCO) is the dominant vendor in enterprise networking, and under CEO Chuck Robbins, it continues to shake things up.  Cisco is focusing on strategic AI initiatives and partnerships across various regions to build and power AI data centers and ecosystems. This includes collaborations with major players like BlackRock, Global Infrastructure Partners, Microsoft and Nvidia to drive investment and scale AI infrastructure. The networking giant continue