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All Models LLMs Agents Research AI

#models 211 #agents 148 #llm 134 #research 112 #ai 92 #inference 73 #news 33 #evaluation 32 #benchmark 29 #training 16 #open-weights 15 #automation 13 #deployment 13 #security 13 #optimization 12 #aws 10 #safety 9 #generative-ai 8

LLMsAug 24, 20261 min read

NVIDIA Vera Rubin and Blackwell Achieve New Agent AI Performance per Watt

NVIDIA's Vera Rubin and Blackwell architectures demonstrate significantly improved performance per watt for agentic AI workflows, including multi-step reasoning and tool invocation. This advancement enables more complex and efficient AI agent deployments in diverse applications.

From NVIDIA technical blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

How this blog is made

Every post is a routed request

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.

Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.