1) The Core Architecture At a high level, we have: Main Server: Handles API requests and database operations. Redis (BullMQ): A task queue for processing background jobs. Workers: Dedicated instances listening to the queue and executing tasks.
COMPUTING
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Scaling AI Apps: Asynchronous Task Queues and Distributed Workers
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Apps like ChatGPT, Claude, and Gemini handle millions of requests per second But how do they do it ? The secret lies in asynchronous task queues, distributed workers, and scalable infrastructure. In Flowise you can achieve that using Queue mode. Here's how it works:
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Axelera AI Metis M.2 Enables Real-time YOLOv8 on Raspberry Pi
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Axelera AI + Raspberry Pi = #EdgeAI for #PiDay2025! Here’s a sneak peek of a @Raspberry_Pi 5 + Axelera AI Metis M.2 running real-time #YOLOv8 inference. Just an early test—but what demos would you like to see with Axelera on an RPi? Watch this space! #PiDay
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AI-Ready Infrastructure: Security, Privacy, and Compliance Foundation
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What Does AI-Ready Infrastructure Look Like?
— Helen Yu (@YuHelenYu) 14 mars 2025
AI-Ready Infrastructure supports high-performance, secure, and scalable AI workloads.
Here’s how @Equinix delivers:
✅ Data Privacy & Control
🔒 Data Security with encryption & secure access
🏅 Compliance with SOC 2 & ISO 27001
🌍… pic.twitter.com/SqsrNRs4jsWhat Does AI-Ready Infrastructure Look Like? AI-Ready Infrastructure supports high-performance, secure, and scalable AI workloads. Here’s how @Equinix delivers: Data Privacy & Control Data Security with encryption & secure access Compliance with SOC 2 & ISO 27001
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Expected minimum tokens per second for local LLM
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Quick question, what's your expected minimum token per second when using a local LLM?
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AI-Powered Vision Systems Transform Safety and Commerce
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AI-powered vision is making tech smarter Detects fires before alarms Smarter motion sensors (no false alarms) Keycard-free access control Checkout-free shopping Safer roads Workplace safety What else? Drop your ideas! #AI #ComputerVision
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Chitu Matches vLLM Performance on H20 DeepSeek-R1
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On an H20 (96GB) cluster, Chitu performs comparably to vLLM when deploying DeepSeek-R1-671B.
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Development Team Optimizes GeMM and MoE for FP8 Processing
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A member of the development team told us: "We've optimized a series of key operators, such as GeMM and MoE, at the instruction level to achieve native processing capabilities for FP8 data."
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DeepSeek-R1-671B Outperforms vLLM on A800 Cluster
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And it outperforms vLLM when deploying DeepSeek-R1-671B on an A800 (40GB) cluster.
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Lenovo AI-Driven Storage Solutions Reduce Energy Costs
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Your data storage is costing you more than you think! 💰⚡
— Nicolas Babin (@Nicochan33) 14 mars 2025
Outdated storage = wasted energy, high costs & CO₂ emissions. Lenovo’s AI-driven storage solutions fix this!
Watch my video & future-proof your business.
🎥👇#Sustainability #AI #CloudComputing #Lenovo #DataTech… pic.twitter.com/OFDURlol8GYour data storage is costing you more than you think! Outdated storage = wasted energy, high costs & CO₂ emissions. Lenovo’s AI-driven storage solutions fix this!
Watch my video & future-proof your business. #Sustainability #AI #CloudComputing #Lenovo #DataTech