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Today's must-reads

Chips

With Hugging Face Acquisition, Nvidia Scores Big Win in AI Race

While most attention has been on model makers such as Anthropic, OpenAI and Google, Nvidia is emerging as the star of the AI race through its acquisition of Hugging Face.

  • Nvidia acquires Hugging Face to strengthen its AI ecosystem
  • Focus shifts from model developers to hardware and platform giants
In-site article

“Hugging Face will remain an open platform”: Nvidia strikes $12.9B deal for the ‘GitHub of AI’

Nvidia has agreed to acquire Hugging Face, the open platform often called the “GitHub of AI”, for roughly $12.9 billion. Nvidia pledged that Hugging Face will remain open, multi-cloud, and multi-accelerator, and that Nvidia compute will not be required to use it. The deal is expected to close in the first half of 2027, subject to regulatory approvals.

  • Nvidia confirmed a roughly $12.9B acquisition of Hugging Face and promised to keep the platform open and hardware-neutral.
  • CEO Jensen Huang said Nvidia compute will not be required and pointed to multi-cloud/multi-accelerator support.
In-site article
Models

Set up OpenAI ChatGPT Codex with LiteLLM on Amazon ECS and Amazon Bedrock

Deploy a customer-operated LiteLLM gateway on Amazon ECS with AWS Fargate, connect it to an OpenAI model on Amazon Bedrock, and configure Codex to route requests through the gateway's Responses API with scoped identities, budgets, rate limits, and telemetry. The post also compares direct IAM Identity Center access and a managed Portkey deployment.

  • LiteLLM acts as a shared control point between Codex and Amazon Bedrock for model authentication, routing, budgets, rate limits, and telemetry.
  • The reference deployment uses Amazon ECS/Fargate with RDS for PostgreSQL, Secrets Manager, KMS, CloudWatch, ALB/WAF, and ECR.
In-site article

Nvidia launches free tool that links idle computers into a personal AI data center

Nvidia has introduced PAIR (Personal AI Router), free open-source software that discovers idle, compatible PCs on a home network and pools their power for local AI inference and agentic workloads. It supports Nvidia GeForce RTX 20-series and newer, RTX Pro GPUs, DGX Spark systems, and Apple M4 or newer chips. The beta is available today for Windows, Linux, and macOS.

  • PAIR is free open-source software—not a physical router—that taps idle home PCs for local AI processing.
  • Compatible systems include Nvidia GeForce RTX 20-series and up, RTX Pro GPUs, DGX Spark, and Apple M4-or-newer Macs.
In-site article
Agents

Best practices for building agentic automations with Amazon Quick Automate

Learn best practices for building production-grade, agent-based business process automations with Amazon Quick Automate: choosing the right process, designing focused agents, combining them with deterministic steps, applying human-in-the-loop review, and building in evaluation and observability.

  • Choose processes that span systems and require contextual judgment, then define measurable success before designing the automation.
  • Create focused agents with one clear responsibility, scoped tools/actions, and structured outputs for reliable handoffs.
In-site article

Nvidia PAIR lets you put your idle Macs and PCs to work for AI agents

Nvidia's new open-source PAIR router routes local AI model requests to idle Macs and PCs in your home network, accelerating agentic workflows with subagents while working alongside Ollama or LM Studio.

  • PAIR is a virtual inference router for home networks, not a new inference engine. It uses existing Ollama or LM Studio installs.
  • It discovers eligible machines over the local network and assigns each request to one capable node; it does not split requests or pool GPUs.
In-site article

GitHub Copilot app for Beginners: Run several agents at once

Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful.

  • Running multiple AI agents on the same project may seem chaotic, but in GitHub Copilot app they work independently and don't interfere.
  • Parallel agent sessions are like multiple washing machines: start several tasks at once without waiting for others to finish.
In-site article
Tools

Google now lets you chat with Gmail, Docs, and Keep

Google is adding AI voice assistant modes to Gmail, Docs, and Keep, called Live experiences, letting users ask questions, create notes, and generate documents conversationally. The features are rolling out in English on mobile.

  • Google launches Gmail Live, Docs Live, and Keep Live, new conversational voice modes for its apps.
  • Gmail Live surfaces summaries from your inbox with cited email sources and supports follow-ups.