The recording of our live session with @ultralytics and Innowise is now up. See how to deploy Ultralytics YOLO models on Axelera Metis AIPUs in minutes using a single command. Read the technical blog: https://
eu1.hubs.ly/H0tm6sp0
Watch the session: https://
eu1.hubs.ly/H0tm3BT0 #EdgeAI
ENTERPRISE AI
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Deploy Ultralytics YOLO Models on Axelera Metis AIPUs
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AI agent autonomously probes its own multi-GPU setup and stats
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running Qwen3.5 397B MoE (17B active/token)
— Ahmad (@TheAhmadOsman) 9 avril 2026
on 4x DGX Sparks in FP8 (~400GB)
> OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats
local AI is awesome https://t.co/KU9u30GgXk pic.twitter.com/yPWSbSKto8running Qwen3.5 397B MoE (17B active/token) on 4x DGX Sparks in FP8 (~400GB) > OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats local AI is awesome -
Deep Agents Deploy: Model Optionality and Sandbox Flexibility
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One of the benefits of Deep Agents deploy is model optionality Choose from models from @OpenAI @GeminiApp @AnthropicAI @FireworksAI_HQ @baseten @OpenRouter @ollama @nvidia and many others Another is you can bring your own sandbox – @daytonaio @modal @RunloopDev
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LangSmith Agent Deployment with Memory and Protocol Exposure
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From there – we spin up a deployment on LangSmith deployments with production ready short term and long term memory We expose your agent via MCP, A2A, and agent protocol
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Building Production Apps with Databricks and Cursor AI
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Developers want to write code, not spend time provisioning databases. In this webinar, experts from Databricks and @cursor_ai build and deploy a production-ready app using modern frameworks, serverless Postgres, and built-in governance. You’ll see how to build from scratch,
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AI-Powered Condition-Based Maintenance Reduces Unplanned Downtime
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By processing data from multiple sensor types, AI moves operations to condition-based maintenance, reducing unplanned downtime and extending asset life.
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Self-Learning Industrial AI Algorithms Adapt to Specific Conditions
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Standard systems rely on rigid, predefined rules. True industrial AI uses self-learning algorithms that adapt to your specific conditions.
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Physics-Based AI Structural Integrity Management Standards Compliance
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Structural Performance Management combines physics-based AI with integrity data to create standard-compliant structural twins.
— Lucian Fogoros (@fogoros) 9 avril 2026
Unlike historical failure pattern models, SPM works with API and ASME standards. It safely expands operating envelopes instead of guessing. pic.twitter.com/7e955Yg9POStructural Performance Management combines physics-based AI with integrity data to create standard-compliant structural twins.
Unlike historical failure pattern models, SPM works with API and ASME standards. It safely expands operating envelopes instead of guessing. -
AI Applications in Finance Teams Today
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How finance teams are putting AI to work today
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
Mistral AI Now Summit Paris May 28 Tickets Available
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Mistral’s AI Now Summit is coming to Paris on May 28 and tickets are live! What you’ll hear: Technical deep dives to help you build and deploy AI. Mistral’s founders on AI-driven transformation in large organizations, company trajectory, and upcoming releases. One day to