Enterprise and Edge AI Agents
NVIDIA expanded its Nemotron model family with highly efficient edge and VL versions optimized for continuous, local agentic workloads. OpenAI detailed how platforms and researchers are scaling agent deployments using models like GPT-6 Astra, and Hugging Face discussed running private on-device agents.
High-efficiency local and long-running agents are expanding practical automation beyond cloud-locked code environments.
Source posts · 5
Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models — NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized […]
NVIDIA released Nemotron 3.5 Super VL and Bolt models, expanding its open model family for agentic and edge workloads.
Amp puts AI agents to work beyond code with OpenAI models — See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.
OpenAI highlights how Amp utilizes its models like GPT-6 Astra to expand AI agent capabilities beyond coding.
How Third Moment Research runs 10,000 agents for 36+ hours — With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.
OpenAI highlights how Third Moment Research uses its GPT models to run 10,000 cybersecurity agents for over 36 hours.
Run fast, private agents on-device with LFM2.5-24B-A2B
Hugging Face announced running fast, private agents on-device using the LFM2.5-24B-A2B model.
Quoting Geoffrey Huntley — If the agent isn't using my diagnostics library, I could introspect and update AGENTS.md, but there's still a delta, and it'll drift. Instead, I write a pre-commit hook that checks the git diff for direct calls to observability modules that bypass my diagnostics module. Boom: fail the commit, inject a prompt telling the agent to use the diagnostics library. All of a sudden it's ten out of ten. — Geoffrey Huntley , nobody should type code by hand anymore. here's what's left. Tags: coding-agents , generative-ai , git , agentic-engineering , ai , geoffrey-huntley , llms
Geoffrey Huntley suggests using git pre-commit hooks to block agent commits and inject prompts enforcing specific coding standards.