Banger paper from NVIDIA. Agentic reasoning needs models that are not just capable, but efficient at long-context inference. The agent model layer is moving toward open, long-context, high-throughput architectures. This paper introduces Nemotron 3 Super, an open 120B parameter
COMPUTING
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Using IoT for Predictive Maintenance Solutions
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How to Use #IoT for Predictive Maintenance
by @antgrasso #InternetOfThings #DigitalTransformation #Innovation #Technology #Tech -
Ricardo Receives ACM Award Recognition
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In case it's not clear, you can click on the picture in the first image to learn more about Ricardo and the award: Twitter swallowed my actual link text to https://
awards.acm.org/about/2025-bar
roso
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Tech Community Mapping on X: Complete Directory
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I mapped out the tech community here: https://
x.com/scobleizer/lis
ts
… Most complete of such on X. Hope it helps and welcome back -
NVIDIA Blackwell Leads AI Token Cost Efficiency Race
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We're in the era of AI token factories. Token output is intelligence. And cost per token is the only TCO metric that holistically determines whether AI scales profitably. That’s exactly where NVIDIA Blackwell leads.
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NVIDIA Blackwell Achieves Lowest Cost Per Token
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Cost per token is the metric that defines inference TCO, not compute cost or FLOPS per dollar. It’s what determines whether AI can scale efficiently and profitably in the real world . NVIDIA Blackwell which delivers the lowest cost per token in the industry is available
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Telecom Infrastructure Becomes Distributed AI Compute Layer
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Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations.
— NVIDIA AI (@NVIDIAAI) 15 avril 2026
NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze… pic.twitter.com/wnYyAnABD0Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze
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Jane Street scales AI training on massive noisy datasets
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Not just using AI. @JaneStreetGroup is training massive models on noisy data, refining continuously, and deploying at scale. @CoreWeave
, powered by NVIDIA Vera Rubin, is the engine behind that ambition. -
Allbirds Exploits Compute Constraints Market Opportunity
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Allbirds senses a market opportunity: we are so desperately compute-constrainted!
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Autonomous Self-Recharging Drones Transform Power Grid Resilience
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Nomadic #Drones Revolutionize Grid Resilience with #Autonomous, Self-Recharging Inspection Systems
— Ronald van Loon (@Ronald_vanLoon) 15 avril 2026
via @WevolverApp
#EmergingTech #Innovation #Technology #Tech pic.twitter.com/ajeMbxIykPNomadic #Drones Revolutionize Grid Resilience with #Autonomous, Self-Recharging Inspection Systems
via @WevolverApp #EmergingTech #Innovation #Technology #Tech