Today’s agreement expands our collaboration in three ways. In fact, investors saw exactly this earlier this year, https://cognifyo.com/articles/understanding-third-party-services-applications/ when concerns about a major AI customer’s finances sent shares lower. Finally, because so much of the backlog rides on a handful of very large customers, any wobble in their plans could spook investors.
To address this, the company is expanding Live Protect, a security capability that shields supported products from newly discovered vulnerabilities without requiring reboots, upgrades, or downtime. Cisco said the time between vulnerability discovery and exploitation has shrunk dramatically, requiring organizations to react more quickly. The company is also introducing Cisco AI Canvas, a collaborative workspace where operators and AI agents can investigate and resolve issues together. The platform combines cross-domain telemetry, purpose-built AI models, and autonomous agents capable of identifying issues, recommending fixes, testing changes, and verifying outcomes before deployment.
Google Cloud continues to deploy Intel Xeon processors across its workload-optimized instances, including the latest Intel Xeon 6 processors powering C4 and N4 instances. Through this collaboration, Intel and Google will align across multiple generations of Intel® Xeon® processors to improve performance, energy efficiency and total cost of ownership across Google’s global infrastructure. Recent stocks from this report have soared up to +97.3% within 30 days – this month’s picks could be even better. To this end, Gartner projects building AI foundations to alone drive a 49% increase in spending on AI-optimized servers in 2026, while AI infrastructure is expected to add $401 billion in spending this year as technology providers build out AI foundations.
Forward-Looking Statements Disclaimer
- As AI continues to evolve, access to computing resources may become just as important as access to talent and proprietary technology.
- JUNO BEACH, Fla. and SUNNYVALE, Calif., Dec. 8, 2025 /PRNewswire/ — NextEra Energy and Google Cloud today announced a significant expansion in their long-standing energy and technology collaboration.
- Advances in coding tools for AI have made it increasingly more apparent that programming will not be a roadblock for developers, yet complex and cumbersome infrastructure remains an issue.
- VMware Cloud Foundation provides a better alternative to public cloud for production workloads through intelligent software that maximizes infrastructure efficiency on existing servers while providing architectural control and regulatory compliance capabilities essential for production AI deployments.
- “AI workloads are now prime targets, and recovery without validation is a risk enterprises can’t afford,” said Chris Stewart, Vice President, Global Cloud and Technology Alliance Partners, CrowdStrike.
For Google, securing additional AI compute capacity helps support its long-term AI strategy. Long-term infrastructure agreements can provide predictable revenue streams and strengthen confidence in future growth prospects. As AI continues to evolve, access to computing resources may become just as important as https://neuralooms.com/articles/brain-scans-cognitive-impairment-exploration/ access to talent and proprietary technology.
The NGO has spent over 10 years betting on free software, self-hosted systems, and its own infrastructure to strengthen privacy, independence, and control of data. Treating the public cloud as your default setting doesn’t work for AI; teams now have to choose infrastructure based on the actual cost of a specific workload. New figures position the company ahead of rivals on water consumption as hyperscalers race to prove AI’s growing infrastructure footprint is sustainable. A 20-year VMware veteran, Raghu Raghuram explains why he was chosen to be VMware’s CEO, where the company is headed, and the reasoning behind VMworld 2021’s major announcements. At its Summit this week, Red Hat is framing sovereignty as vendor independence, control over AI, and operational autonomy. Versa Networks adds cloud security posture management to SASE platform as enterprises struggle to correlate risk.
- The partnership reportedly gives Google access to large amounts of AI computing resources, including tens of thousands of high-performance GPUs and supporting infrastructure.
- The drop of 15 percentage points in public cloud’s share of production AI workloads in a single year is among the most dramatic shifts in this year’s report.
- Generative AI’s outsized appetite for high-capacity compute remains a driving force behind massive cloud infrastructure investments, as hyperscalers race to meet enterprise demand.
- More importantly, public cloud use for production inference was 41%, down 15% year over year.
- Through intelligent resource management and automated operations, enterprises can deploy more production workloads on current servers, scale efficiently across distributed environments, and eliminate the need for costly infrastructure expansion during a period of hardware shortage and rising costs.
- New HPE GreenLake updates unify VM, Kubernetes, and AI management with expanded storage and recovery tools as enterprises look for hybrid cloud alternatives.
Google’s launch of Application Design Center and Cloud Hub enabled developers to design entire applications via a canvas-style interface, generate infrastructure-as-code and monitor applications through unified dashboards. “With 82% of organizations now running Kubernetes in production and 84% expecting to build most new apps on it, the future of AppDev is no longer multi-platform. More recently, Google introduced GKE Cloud Storage FUSE Profiles, designed to automate performance tuning and accelerate data access for AI/ML workloads such as training, checkpointing or inference, with minimal operational overhead. Coverage will explore how agentic systems are being engineered at scale, from autonomous workflows to infrastructure defense, as well as how Gemini and the AI hypercomputer are shaping what “AI-native” actually means in practice. Tune in for on-site reporting and exclusive interviews as theCUBE’s analysts talk with industry leaders from Google, Advanced Micro Devices, F5, United Healthcare, PwC and McKinsey & Co., among many others. “Google has all the components of the emerging AI stack to deliver real value to customers, from silicon, compute, storage, networking and security, up to the data platforms and application layers,” said Dave Vellante, co-founder and chief analyst of theCUBE Research.
