Will the vLLM Jobs integration page on Hugging Face remain publicly accessible by July 3, 2026?
Resolves by Jul 3, 2026
Hugging Face Jobs allows users to launch a private language model server using vLLM with a single command, without needing to manage servers or Kubernetes infrastructure. The service is billed per second of hardware usage and can be queried from anywhere using an OpenAI-compatible API with token-based authentication. The approach is designed for testing, evaluation, or batch generation tasks, with the ability to scale to larger models by selecting more powerful hardware configurations and distributing the model across multiple GPUs. Access to the endpoint is restricted to users with Hugging Face tokens that have read access to the job's namespace.

OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that does things.’ Both apps are free to download. They are not standalone chatbots. Each phone becomes a node in a self-hosted agent network. The assistant itself runs on a separate Gateway. That separation is the whole design. TL;DR OpenClaw’s iOS and Android apps are companion nodes, not standalone assistants. The Gateway runs the agent; phones add came

In this tutorial, we build an advanced, Colab-ready workflow around PyGraphistry for interactive graph analytics and visualization. We start by creating a realistic enterprise-style access dataset, transforming it into nodes and edges, and enriching the graph with risk scores, anomaly indicators, centrality metrics, community detection, and layout embeddings. We then use PyGraphistry to bind graph structure, visual encodings, labels, tooltips, and filtered subgraphs, and to generate local inter

AI scientists are becoming a new interface for scientific computing. These agents read papers, write code, generate hypotheses, call APIs, and inspect files. But science is not software engineering. No test suite turns green when a hypothesis is correct. Discovery stays iterative, uncertain, and grounded in the physical world. That gap is what NVIDIA is targeting. NVIDIA published a hands-on walkthrough for its BioNeMo Agent Toolkit. The argument is direct. A general coding agent pointed at
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