“Zeta, a company with significant resources that shares our commitment to innovation and measurable results, is an ideal home for our products, strategy, and team, and we expect this transaction will result in greater value for Marigold’s customers. We’re excited about partnering with the strong team at Marigold to deliver even greater measurable business outcomes for the world’s leading brands.” Companies are asking how to build specialized AI that fits with the way their workflows actually run. Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity. From the Steam Summer Sale to GeForce NOW membership discounts, this week’s GFN Thursday delivers double the deals and more ways to get the most value from cloud gaming. https://www.softcourier.com/1639/screenshot-cryptoforge.html Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government agencies.

• This Futurum Signal report assesses which vendors are best positioned to become the operational control planes for enterprise AI, where orchestration, governance, execution, and ecosystem alignment increasingly determine long-term market leadership.
• The S/RD Enterprise Cloud environment is enabling design and production agencies to access shared tools in a secure environment while maintaining boundaries that underpin the execution of NNSA’s mission.
• New HPE GreenLake updates unify VM, Kubernetes, and AI management with expanded storage and recovery tools as enterprises look for hybrid cloud alternatives.
• The two companies will also collaborate on NextEra Energy’s enterprise-wide digital transformation, using Google Cloud AI and infrastructure, to accelerate the company’s industry-leading technological innovation and AI deployment.
• Google said the announcements are aimed at production agent deployments that require compute, networking, storage, data access, security controls and operational visibility across Google Cloud, other clouds, on-premises systems and distributed environments.
• Google said the platform is the evolution of Vertex AI and that future Vertex AI services and roadmap evolutions will be delivered through Agent Platform rather than as a standalone service.

Bringing over 30 years of NVIDIA innovation, including CUDA, RTX, DLSS and TensorRT, systems arrive this fall from Microsoft Surface, ASUS, Dell, HP, Lenovo and MSI. With RTX Spark laptops and small desktops, and DGX Station for Windows deskside AI supercomputers, developers can build, tune and run agents natively on Windows. NVIDIA and Microsoft are bringing that full stack to developers across Windows devices, Azure cloud and local deployments. It also takes fast hardware, secure runtimes, a responsive data layer and models tuned for long-running reasoning. The agentic AI moment has arrived, but delivering on its promise requires more than good models. To learn how your organization can prepare for 2026 and beyond, explore Cloudera’s latest resources and insights.

• Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity.
• This initiative directly supports the President’s commitment to peace through strength — ensuring that America’s national security infrastructure remains modern, resilient, and effective through the digital transformation of the Nuclear Security Enterprise.
• AI agents use language models and policies to reason through unstructured inputs, choose tools, and adapt to changing contexts—often orchestrating RPA bots as one of many tools.
• SpaceX IPO filing reveals rival model makers are buying infrastructure from each other, pointing to a new market for frontier-scale compute.
• The product also reflects Cygnet.One’s broader focus on helping enterprises modernize cloud operations with practical, business-aligned technology.

Google said it is a portable suite of skills, tools, extensions and plugins that works in environments including VS Code, Gemini CLI, Codex and Claude Code. Google said Knowledge Catalog aggregates context across Google Cloud and partner data platforms, continuously enriches data using usage logs and profiling, and supports access-control-aware search so agents retrieve only authorized assets. Google said it uses trusted gVisor isolation, launches up to 300 sandboxes per second per cluster, and delivers up to 30 percent better price-performance than competitors when running AI agents on GKE Agent Sandbox with Google Axion N4A. Google said M4N with Hyperdisk Extreme targets large data I/O from agents, analytics and mission-critical databases, provides 26.57 GB of RAM per vCPU and reduces Oracle workload total cost of ownership by more than 20 percent compared with leading hyperscale clouds.

• Under the new Agency System of Record model, Workfront becomes a shared operational layer that connects brands directly with their agency partners, giving both sides visibility into the same workflows, assets, and project data.
• By embracing AI from day one, organizations can automate migration analysis, planning, remediation, testing, and impact assessment—moving from tracking project timelines to creating measurable business value at every stage.
• Google’s Agent2Agent (A2A) protocol, originally launched with more than 50 technology partners, has reached 150 organisations in production, not pilot, routing real tasks between agents built on different platforms.
• “Together with Palantir, we are enabling customers to move to the cloud with speed and confidence through complementary capabilities that accelerate innovation across the enterprise.”
• In addition, Microsoft has already validated the NVIDIA Vera Rubin platform, now in full production, for deployment across Azure data centers.

Enterprise AI Adoption Rates

“Oracle AI Cloud gives us the scalability, resilience, and security capabilities we require to support real-time transaction processing at global scale by delivering the power of Oracle Exadata within Google Cloud.” To support its strict requirements for performance and security, Worldline is leveraging Oracle Exadata Database Service on Oracle AI Cloud to modernize its payment processing platform and deliver scalable, low-latency, and secure payment services. With enterprises continuing to scale cloud adoption, the need for clearer cloud visibility, better accountability, and faster prioritization has become increasingly important. The platform is designed to support teams across finance, technology, governance, and engineering by presenting cloud insights in a way that is easier to review, discuss, and act on. Cygnet.One announced CloudImpact, a Multi-Perspective Cloud Observability platform designed to help enterprises gain clearer visibility across cloud cost, risk, performance, governance, uptime, and readiness.

Google also said TPU 8t integrates 10 times faster storage access and, when combined with Virgo Network, JAX and Pathways software, can provide near-linear scaling for up to 1 million chips in a single logical cluster. Google https://www.fileoasis.com/68532/download-privacy-drive.html said one TPU 8t superpod scales to 9,600 chips and 2 petabytes of shared high-bandwidth memory, delivers 121 ExaFlops of compute, and provides nearly three times the compute performance per pod compared with the previous generation. Since 1982, RCR Wireless News has been providing wireless and mobile industry news, insights, and analysis to mobile and wireless industry professionals, decision makers, policy makers, analysts and investors.

As part of Stargate, the companies plan to build data centers with 4.5 GW of capacity, marking one of the most ambitious infrastructure projects in the sector. OpenAI has signed a $300 billion agreement with Oracle to secure computing power over five years, starting in 2027, in what is considered one of the largest cloud contracts to date. Stargate expands infrastructure – The $500B project includes 4.5 GW of new data centers.. “We look forward to applying our expertise, tools and processes to optimize NGA’s hybrid cloud strategy and to help enable users around the world to access timely mission-critical data.” On July 11, McLean, VA-based HII announced that its Mission Technologies division was awarded an $84 million contract to continue supporting the National Geospatial Agency’s (NGA) IT enterprise cloud migration.