How to Set Up vLLM with gRPC Serving and GPU-less Rendering
vLLM v0.18.0 introduces production-ready gRPC serving and GPU-less preprocessing for multimodal workloads.
Category: AI
CNCF Introduces ModelPack: A New Open Standard for Managing AI Model Artifacts
The CNCF introduces ModelPack, an open standard for packaging and managing AI model artifacts in container registries, bridging the gap between ML pipelines and Kubernetes operations.
How Cloud Native Infrastructure Powers Production AI Engineering
Production AI workloads increasingly rely on Kubernetes and cloud-native technologies for orchestration, GPU scheduling, and scalable infrastructure management.
Setting Up MCP Servers in OpenClaw: A Practical Guide
Learn how to configure and use Model Context Protocol (MCP) servers to extend OpenClaw's capabilities with external tools and APIs.
Grafana OpenLIT Operator Enables Zero-Code Observability for AI Workloads on Kubernetes
Grafana has released the OpenLIT Operator, a Kubernetes-native solution for monitoring AI workloads without requiring code changes. The integration with Grafana Clouds AI Observability suite promises…
vLLM v0.18.0 Ships gRPC Serving, GPU-Less Rendering, and Major KV Cache Improvements
The vLLM project has released version 0.18.0, a substantial update featuring 445 commits from 213 contributors including 61 new contributors. This release significantly expands deployment flexibility…
Cloudflare Workers AI Now Runs Large Models: Kimi K2.5 Lands on the Edge
Cloudflare is officially entering the frontier model race with a significant announcement that expands its AI platform beyond small, efficient models into the territory of large-scale…
Zero-Code LLM Observability on Kubernetes Is Really About Standardizing AI Operations
Grafana Cloud AI Observability and the OpenLIT Operator point to a practical operational pattern for LLM workloads on Kubernetes: instrument by policy, collect with OpenTelemetry, and make cost, latency, and quality visible without asking every application team to wire tracing by hand.
Crossplane 2.0 Makes AI Infrastructure Look More Like a Product API
Crossplane 2.0 matters for AI infrastructure because it gives platform teams a declarative way to expose governed, reusable services to agents and developers through one control plane instead of a maze of tickets, scripts, and cloud consoles.
Cloudflare Workers AI Now Runs Large Models: Kimi K2.5 Delivers 77% Cost Savings
Cloudflare enters the large model inference game with Kimi K2.5 on Workers AI, offering frontier-level reasoning at a fraction of proprietary model costs.
Ollama v0.18.2 Adds Web Search for OpenClaw and Non-Interactive Mode
Ollama now ships with web search/fetch plugins for OpenClaw and introduces headless mode for CI/CD and automation workflows.
OpenClaw Adds Chrome DevTools MCP and Browser Profile Support
OpenClaw v2026.3.13-beta.1 adds Chrome DevTools MCP support for signed-in sessions and new profile options for browser automation.
Ollama Ships Web Search and Fetch Plugins for OpenClaw
Ollama v0.18.1+ brings web search and fetch plugins to OpenClaw, letting local models access current information without JavaScript execution.
OpenClaw Adds Chrome DevTools MCP: Debug Live Browser Sessions from Your AI Agent
OpenClaw 2026.3.13 introduces official Chrome DevTools MCP attach mode for debugging live browser sessions directly from your AI agent.
Dynamic Resource Allocation Goes GA: How to Run AI Workloads on Kubernetes the Right Way
Kubernetes 1.34 brings Dynamic Resource Allocation to GA, enabling proper GPU sharing, topology-aware scheduling, and gang scheduling for AI/ML workloads.
Kubernetes AI Gateway Working Group: Standards for AI Workload Networking
The Kubernetes community announces a new working group focused on developing standards and best practices for AI Gateway infrastructure, including payload processing, egress gateways, and Gateway API extensions for machine learning workloads.
Ollama 0.18: OpenClaw Integration and Nemotron-3-Super for Agentic AI
Ollama 0.18 brings official OpenClaw provider support, up to 2x faster Kimi-K2.5 performance, and the new Nemotron-3-Super model designed for high-performance agentic reasoning tasks.
vLLM 0.17: PyTorch 2.10 Upgrade and FlashAttention 4 Integration
vLLM 0.17 brings PyTorch 2.10, FlashAttention 4 support, and the new Nemotron 3 Super model, delivering next-generation attention performance for LLM inference.
Ollama 0.18.0 hints that local model runtimes are becoming hybrid control planes
Ollama 0.18.0 is a short release note, but the three visible changes are telling. Better model ordering, automatic cloud-model connection with the :cloud tag, and Claude Code compaction-window control all point to a local runtime becoming a policy layer between local and remote inference.
NVIDIA’s NeMo Retriever result says retrieval is becoming workflow engineering, not just embeddings
NVIDIA’s leaderboard-topping NeMo Retriever pipeline is notable not because “agentic retrieval” sounds fashionable, but because the engineering choices are unusually revealing. The interesting story is the tradeoff between generalization, latency, and architecture complexity once retrieval becomes an iterative workflow instead of a one-shot vector lookup.