DENVER — June 9, 2026 — Crusoe, the AI factory company, today announced the company has contracted 4.9 gigawatts (GW) of AI infrastructure spanning its data center projects and capacity for Crusoe Cloud, its AI cloud platform. Crusoe, the AI factory company, today announced the company has contracted 4.9 gigawatts (GW) of AI infrastructure spanning its data center projects and capacity for Crusoe Cloud, its AI cloud platform. Further, the mandates seek information about industry AI offerings, particularly the combining of extra features and services with long-standing products like Microsoft 365. According to new information revealed by The Verge, the US Federal Trade Commission (FTC) is gathering information about Microsoft’s business agreements, licensing arrangements, and the interoperability of its various products. It’s designed for enterprise-scale AI adoption without compromising compliance or productivity. For organisations running complex cloud environments, this integrated approach could provide visibility across previously siloed security domains.
Apple’s SwiftUI has received performance updates, including more efficient state initialization and faster layout rendering, which requires no code changes from developers; new reorderable containers also reduce the need for custom layout code. The number climbs to 57% among organizations running more than six AppSec tools, proving that the discipline required to maintain least privilege is failing to scale with tool sprawl. Of those surveyed in the 2025 report, 75% of organizations stated that they are running AI in their production environments today.
Governance must be part of the engineering delivery so security, compliance, and risk controls travel with models. The work typically includes architecture guidance, managed data and model pipelines, and production runbooks that connect security controls, identity, networking, and observability. AI cloud services combine cloud infrastructure and AI engineering delivery to take models from data readiness through deployment and operational monitoring. This buyer’s guide explains what to evaluate in AI cloud services providers for production-grade machine learning and generative AI.
Edge expansion: Connectivity meets compute
See alsoSet up iCloud on all your devicesUse iCloud.com to restore and recover iCloud information Depending on the device and account you use to sign in to iCloud.com, you have access to different apps and features. With the funding, the company said it intends to continue investing in the platform and developer experience, expand its team across engineering and developer relations and broaden global access for developers worldwide. Runpod said its growth reveals the need for deeper developer-centric infrastructure in an industry that continues to grow. It gives developers the tools to experiment, train, fine-tune, deploy and scale multi-session model runs, all on one dashboard. Oracle, meanwhile, recently reported strong quarterly results.
AI development options
Many AI cloud providers support this by offering managed Kubernetes, Docker containers, and open-source frameworks such as PyTorch and TensorFlow that can be moved across environments. OCI’s AI stack includes services such as Oracle Cloud Infrastructure https://www.crunchylivinmamastyle.com/what-will-we-see-at-the-edge-and-telco-in-2024.html Data Science for model development and experimentation, as well as infrastructure optimized for running large AI models on GPU clusters. While Hugging Face excels as a massive model hub and development ecosystem, Replicate focuses on running models via simple APIs—making it another option for deploying and serving models without managing infrastructure. These offerings blend easy access to high-powered computing hardware and an intuitive developer experience. With the rush of development and model creation, several cloud options on the market are designed for organizations focused on AI development. Not all AI cloud providers are alike or designed for your organization’s specific workloads.
Okta expands Google Cloud partnership to secure AI agents and the browser
The first new feature is external identities support, allowing organizations to use B2B login capabilities for Bring Your Own Device (BYOD), contractor, or external user scenarios. In February 2026, Microsoft will expand the availability of this new offering to customers based in Belgium, Finland, Ireland, Italy, Poland, Singapore, and Spain. This feature is designed for shared mode deployments, allowing application settings and configurations to persist for each user across sessions. With Windows 365 Cloud Apps, IT admins can give users access to just specific apps like Outlook or Word running on Windows 365 Cloud PCs, rather than providing them access to a full Cloud PC. It creates a seamless AI experience for both users and IT by running Microsoft 365 Copilot across Cloud PCs, Windows 365 for Agents, AI-enabled Cloud PCs, and Microsoft Intune. This new offering introduces Copilot+ PC-like experiences in the cloud, including improved Windows Search and Click to Do actions.
What Physical AI Actually Means — and Why the Architecture Is Completely Different From Cloud AI
- Google AI cloud platform offers a comprehensive set of AI building blocks, including pre-trained models, APIs, and tools for vision, language, and structured data.
- Cloud growth has now accelerated four quarters in a row, from 32% to 34% to 48% to 63%.
- Cognizant is one of the world’s leading AI Builder and technology service providers helping clients modernize technology, reimagine processes, and transform experiences to stay ahead in a fast-changing world.
- This holistic ecosystem empowers organisations to navigate the complexities of digital transformation, driving efficiency, innovation, and growth across their operations.
- It fits well where ease and speed are more important than advanced controls.
By uncovering early investments in hypergrowth industries, Luke Lango puts you on the ground-floor of world-changing megatrends. It just took the hardware a few years to catch up. And like the smartphone, the companies that win aren’t just the device makers — they’re the entire supply chain underneath them. The transition from cloud AI to Physical AI is the single biggest hardware cycle since the smartphone. In Physical AI, every device that ships — every robot, wearable, AI PC, and autonomous vehicle — needs chips, sensors, optics, memory, power management, and connectivity. The storage plays — Seagate (STX), Western Digital (WDC), SanDisk (SNDK) — get a demand tailwind as every edge device needs local model storage.
It has become popular in https://miamicottages.com/travel/page/2 advanced AI development spaces. It is designed for intensive AI training and deep learning tasks. Automation and analytics tools add value to business operations. Enterprise-level security plays a major role in IBM Cloud offerings.