gordana neskovic @nesgor

La NASA ha seleccionado hoy como "foto del día" la de Zaragoza con dos eclipses: el del cielo y el reflejado en el río Ebro.

I Tried NVIDIA Nemotron 3.5 Lightning Model and It's Insane FAST youtu.be/yfLLhhEms4E?si… via @YouTube

Looking for a faster specialized model for your Agent Work? @nvidia Nemotron 3.5 Lightning (30B MoE, 3B active params) is now live on Fireworks. It’s distilled from NVIDIA Nemotron 3 Ultra to be your high-volume agent engine. With strong performance on PinchBench and top-tier scores in AA-Omniscience Non-Hallucination, Nemotron 3.5 Lightning is engineered for reliable, high-productivity agentic workflows. Built for specialization, not generalization. Start building: app.fireworks.ai/models/firewor…

The @nvidiaai Nemotron 3.5 Lightning ⚡️ is LIVE on @CoreWeave Serverless Inference. The fastest open model in its class for always-on agents with a customizable 30B MoE (3B active), distilled from Nemotron 3 Ultra. Built for coding, tool calling, and multi-turn agentic workflows. This is the fast lane for high volume tasks. No endpoints. No infrastructure to manage. Get started here: utm.io/ur9aV

console.gmicloud.ai/model/llm/nvid…

Deploy NVIDIA Nemotron 3.5 Lightning on GMI Cloud on Day 0! Built for always-on agents, it’s a customizable 30B MoE model with 3B active parameters and a 1M-token context window. Designed for fast, high-volume tasks across coding, tool calling, and multi-step workflows. Available now with the GMI API key 👇

NVIDIA AI @NVIDIAAI

4 weeks ago

Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

360 668 6K 2.6M 2K

NVIDIA Nemotron 3.5 Lightning is now live on OpenRouter. A 30B hybrid MoE with 3B active params, distilled from Nemotron 3 Ultra. Built for high-volume, specialized AI agent workloads, delivering up to 4× higher throughput and up to 30% faster task completion compared to similar models in its class. openrouter.ai/nvidia/nemotro…

🚀 Day-0 on @Bitdeer_AI Model Studio: @nvidia Nemotron 3.5 Lightning is now live. The fastest open model in its class for always-on agents. A customizable open 30B MoE (3B active) built for your high-volume, specialized AI workloads. Deploy now 👉 account.bitdeer.com/en/sign_in?met… #Nemotron #AgenticAI @nvidiaAP 🔥

NVIDIA Nemotron 3.5 Lightning is now live on Together AI. The fastest open model in its class is built for always-on agents that need to complete high-volume, specialized work quickly.

Armenia and Kazakhstan with @FirebirdCloudAI are building the infrastructure to create intelligence at home, powered by the NVIDIA DSX platform. 📽️ Hear from @JensenHuang on this important milestone for the CIS region. nvda.ws/4wiOu58

Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents route each workflow step across the models they choose. ⚡ x.com/i/article/2086…

NVIDIA Nemotron 3.5 Lightning is now live for inference on Crusoe Intelligence Foundry. Not every agent task needs a frontier model. NVIDIA Nemotron 3.5 Lightning, a 30B MoE, 3B active parameters, delivers the speed and efficiency needed for high-volume, specialized tasks in agent workflows. Deploy today on Crusoe Cloud → crusoe.ai/cloud/managed-… #Nemotron #AgenticAI @NVIDIAAI

Great to see NVIDIA NeMo Switchyard launch as an open source model routing library for AI agents. It gives teams more flexibility in how they route work across models. nvda.ws/4xhrXqa nvidia.everyonesocial.app/content/aad9fe…

Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

NVIDIA Nemotron 3.5 Lightning is now available on Nebius Token Factory. It combines a 30B hybrid MoE architecture with 3B active parameters and text-in/text-out I/O. The open 30B MoE model helps always-on agents complete specialized tasks faster and can be adapted for domain-specific accuracy across use cases including financial services, cybersecurity, telecom, and retail. Start building: tokenfactory.nebius.com/endpoints?moda…

NVIDIA AI @NVIDIAAI

4 weeks ago

Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

360 668 6K 2.6M 2K

Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.

GPU per hour is just the tip of the inference iceberg. 🧊 Agents can use 10 to 100x more tokens per task than a single chat exchange. @NVIDIA Nemotron 3 Ultra, NVIDIA Dynamo, and fastokens are how we're building for what's below the surface: goodput and throughput. 🔗 crusoe.ai/resources/blog… #AgenticAI #Nemotron #AIInfrastructure

Your structured output fills with endless whitespace instead of JSON. Engine bug? Probably not. Constrained decoding masks invalid tokens, but it can't pick which valid token comes next. Whitespace is valid JSON grammar. If your prompt doesn't signal the expected fields, the model can stall on newlines until the token limit. 🧑‍🔧The fix: put a concrete example output in your prompt. Bonus: on FriendliAI Endpoints, response_format is up to 21% faster — narrowing the token set boosts draft acceptance in speculative decoding. Prompt guidance + constrained decoding. You need both. 🔗 friendli.ai/blog/structure…

I'm very excited to share that @nvidia just released Nemotron-3-Embed: two multilingual embedding models for retrieval The 8B takes the top spot on RTEB. - Nemotron-3-Embed-1B-BF16 (2048-dim) - Nemotron-3-Embed-8B-BF16 (4096-dim) Both OpenMDW-1.1, ready for commercial use. 🧵

Today we released Nemotron 3 Embed 8B and it reached #1 overall on RTEB 🏆 RTEB benchmarks retrieval accuracy across real-world tasks. Better retrieval gives agents more relevant context, helping improve response accuracy.