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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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LLMs1 min read
A new approach enables user identity to be carried across federated Kubernetes and AI platforms, supporting workflows from central portals to dataset access and notebook launching.
From NVIDIA technical blog
LLMs1 min read
NVIDIA's blog discusses using speculative decoding to accelerate large language model inference while preserving accuracy, part of an AI model co-design series.
From NVIDIA technical blog
LLMs1 min read
Meta's Muse Glimmer is a 30-billion parameter open-weight dense model with a 120K+ context window, designed for local AI applications and open source deployment.
From NVIDIA technical blog
LLMs1 min read
NVIDIA Groq 3 LPX is an AI inference accelerator designed for the Vera Rubin platform, enabling ultrafast interactivity with long context windows.
From NVIDIA technical blog
LLMs1 min read
NVIDIA introduces DSX MaxLPS to improve AI factory performance per watt, addressing power constraints in industrial AI systems.
From NVIDIA technical blog
LLMs1 min read
The article discusses methods for organizations to size GPUs effectively for AI inference, balancing performance and total cost of ownership without overspending.
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
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.
