Google Cloud's State of AI Infrastructure report, based on a survey of 1,400 global IT leaders, finds that 83% of organizations must upgrade their technology stack to support autonomous AI agents. The…
Veta, an AI agent that QA-tests Android apps using a swarm of autonomous sub-agents, runs 100% of its AI inference on AMD GPUs via Fireworks AI on AMD Instinct or self-hosted vLLM on ROCm. The system …
Artificial intelligence is forcing public sector organizations to rethink IT infrastructure, shifting focus from workload placement to data adaptability and governance, according to an analysis. The b…
Kubernetes and Amazon EKS are ill-suited for AI agent workloads because the container orchestration model was designed for stateless HTTP requests, not long-running, stateful agent processes, accordin…
Modelplane released v0.2 of its open-source inference orchestration platform, adding support for Nebius and Azure AKS cloud providers, weighted request routing for canarying and traffic splitting, and…
Domain-specific languages (DSLs) make LLM code generation production-ready by shrinking the output space so models produce verifiable results instead of plausible noise, according to Rachel Goldstein.…
A production-grade template for multi-agent LangGraph systems has been released on GitHub by developer brescou. The template includes a hardened FastAPI API, domain packs, Helm and Terraform stubs, CI…
An architect at an unnamed company encountered an unexpected challenge when deploying a Visual Element Detection (VED) service on Azure Kubernetes Service (AKS): the target region did not offer the NV…
KEDA, a CNCF Graduated open-source project created by Microsoft and Red Hat, cuts Kubernetes costs by scaling workloads to zero replicas when no events are pending, a capability standard Horizontal Po…
The Kubernetes Cluster Autoscaler adds nodes reactively when pods are pending and removes them after a sustained underutilization window, with a default scale-down delay of 10 minutes and provisioning…
A developer argues that full-stack proficiency remains essential in AI projects, enabling end-to-end control of the data-model-service chain and faster integration error detection. The post illustrate…
Public sector IT leaders must put data at the center of AI architecture, moving beyond traditional workload placement decisions, according to a commentary. Success now depends on data adaptability and…
A developer outlines a practical workflow for transcribing audio to text using tools like OpenAI Whisper, emphasizing the value of text for searchability and LLM processing. The guide covers file prep…
Pullrun, a new single-binary OCI runtime, lets users run the same OCI image as a container, Firecracker microVM, Apple Silicon VM, Kubernetes workload, or AI agent task without a daemon or overlayfs. …
Anway, an open-source platform that connects DevOps tools including GitHub, Datadog, Linear, Kubernetes, Loki, Prometheus, Jira, ArgoCD, PagerDuty, and Terraform into a single intelligence surface, is…
A reference architecture for self-hosted enterprise AI harnesses on Kubernetes proposes four functional layers with clear integration boundaries, addressing identity, policy, multi-tenancy, and runtim…
Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) solve different autoscaling problems in Kubernetes: HPA adds or removes pod replicas based on load, best for stateless workloads like …
Google Cloud open-sourced k8s-aibom, a Kubernetes controller that surfaces a bill of materials exposing AI operations in a user's cloud estate, to help auditors tackle shadow AI. The tool, deployed as…
Condense offers a Bring Your Own Cloud (BYOC) model for real-time data streaming that keeps data within the customer's cloud while the vendor manages the control plane. This approach reduces cloud egr…
TormentNexus' AI skill registry has surpassed 5,776 reusable modules, with top categories including code review, Terraform generation, and database migrations. The code review skill family alone compr…