Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its own engineering project, one that has to be maintained every time a workflow changes.Nvidia is proposing a fix that touches both ends of that problem at once. The company is out on Tuesday with Nemotron 3.5 Lightning, a 30-billion-parameter open mixture-of-experts model built for high-volume, specialized agent tasks, alongside NeMo Switchyard, an open-source library that routes each step of an agent workflow to whichever model fits it best.The headline numbers: According to Nvidia, Lightning delivers up to 4x faster output than comparable models in its class, completing agen [...]
Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]
Nvidia on Monday took the wraps off Vera Rubin, a sweeping new computing platform built from seven chips now in full production — and backed by an extraordinary lineup of customers that includes Ant [...]
Model routing is becoming a key component of the enterprise AI stack, dynamically sending prompts to the right AI model to optimize speed and costs. However, current frameworks mostly treat routing as [...]
Nvidia on Monday unveiled a deskside supercomputer powerful enough to run AI models with up to one trillion parameters — roughly the scale of GPT-4 — without touching the cloud. The machine, calle [...]
Presented by Microsoft and NVIDIAAs the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver unequaled value for organizations investi [...]
Every few years, a piece of open-source software arrives that rewires how the industry thinks about computing. Linux did it for servers. Docker did it for deployment. OpenClaw — the autonomous AI ag [...]