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AI Infrastructure

111 summarised stories about AI Infrastructure, each linking back to the original source. Browse all topics →

Wednesday, 15 July 2026

Kubernetes won the container decade. Google’s Agent Substrate wants the next one.

The New Stack 22 hours ago

Google released GKE Agent Sandbox to general availability in May 2026 and introduced Agent Substrate, a separate scheduler designed for AI agents because Kubernetes was built for long-running services rather than the bursty, mostly-idle workloads that agents represent. Agent Substrate achieves 30x or more oversubscription with sub-second activation by snapshotting idle sessions to storage and multiplexing them onto pre-warmed worker pods, while Agent Sandbox provides kernel isolation via gVisor for running untrusted model-generated code at 300 sandboxes per second with 90 percent finishing in 200 milliseconds. The emergence of this dedicated agent runtime as a fourth compute offering alongside virtual machines, containers, and serverless indicates that the infrastructure layer for managing agents is consolidating into specialized systems separate from general container orchestration.

Trust, transactions and tokenomics: AI agent infrastructure begins to standardize

The New Stack 22 hours ago

The Linux Foundation formally launched the X402 Foundation in April 2026 to standardize internet-native payments for transactions between AI agents, APIs, and applications, joining two earlier governance bodies focused on token costs and safety verification. Over the past 30 days, X402 has processed more than 75 million transactions worth $24.24 million across 94,060 buyers and 22,000 sellers, with major companies including AWS, Cloudflare, Google, and Stripe already implementing the protocol. The standardized payment framework enables AI agents to access services and APIs without pre-registration or account setup, addressing a critical need for autonomous agents operating across the web at scale.

Meta and the rise of the accidental cloud

The New Stack 1 day ago

Meta is building a cloud business to sell excess GPU capacity through its Meta Compute initiative, choosing between offering hosted AI models or raw compute rental, while the shoe company Allbirds pivoted to selling GPU-as-a-Service after a $39 million sale of its footwear brand. Meta reported the compute business on July 1, and CoreWeave and Nebius stocks dropped double digits after the announcement, with Nebius holding a $27 billion contract with Meta. As GPU supply fragments across multiple providers including hyperscalers, neoclouds, and accidental clouds, enterprises will gain leverage through abstraction layers that treat suppliers as interchangeable provisioning targets rather than betting on single vendors.

New in Together GPU Clusters: Reliability and control for production GPU clusters

Together AI 1 day ago

Together AI released updates to its GPU Clusters platform including passive health checks that monitor running workloads for failures like GPU bus drops and thermal throttling, auto node repair with human approval, and a rebuilt Slurm-on-Kubernetes stack addressing daemon crashes and process cleanup. The platform added operational features including a redesigned cluster overview dashboard showing health and utilization, external OIDC authentication for per-user Kubernetes access, and startup scripts for self-serve node customization. These changes reduce incident resolution time from hours to minutes and enable teams to manage clusters at scale without sharing admin credentials or performing manual node setup.