Unleashing the Future: How AI and Edge Computing Are Reshaping the Energy Sector https://
buff.ly/pdYbuP3 #NVIDIA_iiot #AI #EnergyInnovation #SmartGrid @IIoT_World via @fogoros
COMPUTING
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AI and Edge Computing Transform Energy Sector Innovation
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Scaling AI Inference Profitably Without Increasing Compute Costs
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To make AI inference profitable, enterprises must scale AI reasoning output—generating more tokens—without driving up compute costs.
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Local Model Agentic Coding Loop Tool Calling Challenge
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Is anyone having success running a full Claude Code style agentic coding loop against a local model? This feels like the ultimate challenge for local tool calling right now, as it requires potentially dozens of calls in a loop and good performance over a longer context
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DeepSpeed: Distributed Fine-tuning Framework for Large-Scale LLM Training
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3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP
• Optimized for multi-GPU and multi-node training with advanced memory management
• Trusted in production environments for scalable LLM training GitHub repo → -
Celebrating System Administrators and IT Infrastructure Professionals
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Happy #SysAdminDay to those pros who maintain servers, write and run code, solve pressing IT ticket queries—and all the things! We appreciate you & the important work that keeps computer systems running smoothly all over the world
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BERT CPU Model Powers Smart Home Interface with Function Calling
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It's super fun to use a BERT-sized model that can run on a CPU and power a smart home interface. Also, we ranted a bit about function calling templates with a comparison between JSON and Python. Hope you enjoy it! 🙂
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Quadrillion tokens processed: AI infrastructure milestone
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You know what's cool… a quadrillion tokens. We processed almost 1,000,000,000,000,000 tokens last month, more than double the amount from May.
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NP Problems: Easy to Verify in Hindsight
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NP is the class of problems that are easy in retrospect.
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Gemini 2.5 Flash-Lite co-designed with Trillium TPU unlocks lightning speeds
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Co-designing Gemini 2.5 Flash-Lite with the Trillium TPU was the key to unlocking the lightning speeds of 2.5 Flash-Lite. This Infinite Wiki by @dev_valladares is an incredible demonstration of what is possible with this model. We're so excited to see what you continue to build! pic.twitter.com/xIGVQj8f9K
— Google AI (@GoogleAI) 24 juillet 2025Co-designing Gemini 2.5 Flash-Lite with the Trillium TPU was the key to unlocking the lightning speeds of 2.5 Flash-Lite. This Infinite Wiki by @dev_valladares is an incredible demonstration of what is possible with this model. We're so excited to see what you continue to build!