Stelia

⚡OpenAI’s open-weight move is reshaping #enterprise AI – are you ready? OpenAI’s planned open-weight release marks a seismic shift – #AI is moving from centralized training to #distributed inference 🚀. The challenge? Scaling #inference efficiently across regions while managing cost, latency, and #data sovereignty. This is where Stelia comes in. Our globally distributed platform abstracts AI workloads from specific #GPUs and locations, intelligently allocating inference across 140+ regions 🌎. 🚀 The future of AI is distributed. Check out the full article on Stelia's Newsroom now 👇 🔗 https://lnkd.in/e9aeHpUW

Great insights from our CLO Imogen Armstrong who attended #FutureLawyer yesterday, on the evolving role of legal teams in technology-driven businesses. At Stelia, we see this every day – building AI-powered solutions isn’t just about technical innovation; it also requires a strategic legal approach that enables progress while ensuring compliance and trust. 📄 🚀 As #AI shifts from experimentation to real-world impact, the synergy between legal, #technology, and business strategy is more important than ever. Check out Imogen's key takeaways below. 👇

"We’re in the dial-up modem phase of AI. The internet wasn’t designed to handle the volumes of data that AI workloads require." Dan Scarbrough, Stelia CCO AI is scaling at an unprecedented pace, but enterprises are running into a critical bottleneck: data mobility. Deploying #GPUs at scale is one thing – moving the massive datasets #AI workloads demand is another. 🔹 Most enterprises aren't optimising for #data mobility – they’re building #compute hubs around power availability, not data accessibility. 🔹 The result? Latency, inefficiencies, and bottlenecks that limit AI’s full potential. At Stelia, we’ve engineered a different approach. Our globally distributed compute platform untethers AI workloads from fixed locations – so data moves efficiently and reliably to where it’s needed, when it’s needed. Dan broke this down at #SOOCon25 alongside Amanda Brock, Sam Johnston and Robbie Jerrom and we’ve captured the key insights in our latest article. Read it here: 👇 🔗 https://lnkd.in/e8pyBcb2

AI and Open Software: The Future at Scale 🚀 In February, Dan Scarbrough joined industry leaders Amanda Brock of OpenUK, Robbie Jerrom of Red Hat, and Sam Johnston of Acumino at #SOOCon25 for an expert-led discussion on the intersection of #AI and open software. Now available on demand, expect insights on: ⚡ The challenges of deploying AI at gigawatt scale 🌍 The need for a ubiquitous #compute infrastructure to support #distributedAI at scale 💡 The critical role of #opensoftware and how the UK can stay competitive globally Don’t miss this forward-thinking conversation navigating the future of AI and infrastructure👇 Watch now:🔗https://lnkd.in/e-PJ8SQc

Stelia: The Distributed Intelligence Platform. The Future of AI runs on Stelia. https://stelia.ai/

📢 Cloud Computing is Dead – Long Live Cloud Computing! For years, enterprises have tried to force #AI workloads into a cloud model that was never designed for them. The result? Compute #bottlenecks, #siloed data, and artificial barriers that slow AI #innovation 🚧🚨 At NVIDIA GTC 2025, our VP Engineering, David Hughes laid out the reality: We’re at the dawn of Cloud Computing 2.0 – a new paradigm purpose-built for #distributedAI.⚡🌍 True AI scalability isn’t just about adding more GPUs – it’s about removing friction. AI needs fluid #data mobility, a globally distributed #compute fabric, and an architecture that eliminates artificial barriers like punitive data transfer fees. Stelia’s intelligent platform makes this a reality.🚀 David’s full insights from his week at #GTC25 are now live on Stelia's Newsroom, check the full article out below👇 🔗https://lnkd.in/eqkWzJPd

#GTC25: AI’s breakthrough moment has passed – now comes the real work. At NVIDIA GTC 2025, one thing was clear: AI’s future isn’t about isolated breakthroughs – it’s about scaling AI #inference into real-world impact. The ecosystem is maturing, shifting from rapid innovation to sustainable, #distributedAI. 🚀 Distributed inference is the future – AI must move closer to where decisions happen. 🔧 Hardware-software co-design is critical – tight integration across the stack drives performance. 📊 #AI is going from lab to production – real-world deployments are the focus. ⚡ Efficiency is everything – #networking, power consumption, and performance-per-watt matter more than ever. At Stelia, we’re solving these challenges today. Our globally distributed #compute platform abstracts AI workloads from specific #GPUs and locations, intelligently allocating resources – from pre-training to edge inference – enabling AI to #scale and deliver impact worldwide. Check out our expert analysis of GTC 2025 and how NVIDIA’s innovations are shifting the landscape toward distributed AI inference at scale.👇 🔗https://lnkd.in/eDH55Saz

Distributed AI without boundaries starts here. Smarter AI runs on Stelia.

🚀AI robotics startups – Europe is leading the way 🌍 Robotics and #automation are evolving fast, and some of the most exciting breakthroughs are happening in Europe. Startups are using NVIDIA’s AI-driven platforms to build real-world solutions – enhancing precision, efficiency, and adaptability in robotics. At #GTC25, five standout startups showcased how #AI-powered robotics is transforming industries. From autonomous industrial systems to next-gen automation, these companies are setting new standards for what’s possible 🤖⚡. So how are they applying #AI to #robotics today and what does this mean for the future of automation? From NEURA Robotics to Wandelbots, we break it all down in our recent article.👇 🔗https://lnkd.in/e4RQEJkK

🚀 GPU-Acceleration: Shaping the Future of Signal Processing in Defense At NVIDIA #GTC25, Saab and NVIDIA showcased how GPU-accelerated signal processing is redefining defense computing. By leveraging #GPU technology, #defense systems can now achieve: ⚡ Faster, more efficient real-time analytics: Enabling quicker, mission-critical decisions. 💰 Lower hardware and operational costs: Reducing infrastructure and operational expenses. 📈 #Scalability across diverse defense applications: From radar to communications, GPU solutions support multiple needs. 🤖 A future-ready platform for #AI and deep learning integration: Preparing systems for next-gen AI capabilities. Check out Stelia's recent article to unpack this collaboration between Saab and NVIDIA👇 🔗https://lnkd.in/gWDY_zS4