Browsing: Infrastructure

Running AI agents in a local script is straightforward. Running them reliably in production across teams, across restarts, with isolated environments per context is a different…

banner(“Part 5 — Streaming”) mem.attribution(entity_id=”[email protected]”, process_id=”personal-assistant”) stream = client.chat.completions.create( model=MODEL, messages=[{“role”: “user”, “content”: “In two sentences, what do you remember about me?”}], stream=True, ) print(“[stream] “,…

AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured data from a JavaScript-heavy dashboard, or…

AI agents struggle with tasks that require interacting with the live web — fetching a competitor’s pricing page, extracting structured data from a JavaScript-heavy dashboard, or…

Training AI agents that can actually use a computer — opening apps, clicking buttons, browsing the web, writing code — is one of the hardest infrastructure…

NVIDIA researchers introduced ProRL AGENT, a scalable infrastructure designed for reinforcement learning (RL) training of multi-turn LLM agents. By adopting a ‘Rollout-as-a-Service’ philosophy, the system decouples…

Spanish AI company Multiverse Computing has released HyperNova 60B 2602, a compressed version of OpenAI’s gpt-oss-120B, and published it for free on Hugging Face.The new version…

AMD expands aggressively into virtualized 5G infrastructure and edge deploymentsAMD Sorano now delivers 84 cores for demanding telecom network workloadsImproved LDPC decoding efficiency directly affects overall…

Government-backed funding gives Chinese firms significant operational advantagesLower-cost AI models from China appeal to developing nations worldwideMicrosoft is investing billions to strengthen AI tools and infrastructure…

NVIDIA has just released Dynamo v0.9.0. This is the most significant infrastructure upgrade for the distributed inference framework to date. This update simplifies how large-scale models…