We are excited to announce an exclusive #AI# Roundtable in partnership with @e27co on April 24. We are bringing together founders and business leaders to explore how companies can turn AI experimentation into real, sustainable business impact. The future of AI isn't just about more compute; it’s about how that compute is integrated and utilized. As we explore a full-stack, vertically integrated approach. During this roundtable, we’ll dive into: 🔹Open conversations on real AI scaling challenges. 🔹Strategies on moving from experimentation to impact. 🔹Peer-to-peer learning on moving from experimentation to impact. 🔹Explore how AI Cloud platforms can simplify infrastructure and accelerate AI initiatives Don’t miss out on this exclusive discussion. Register now👉: #necloud# #enterpriseai# #AIStrategy# #AILeadership#

Last Friday, together with @e27co, we hosted an exclusive roundtable with founders and senior leaders to discuss how businesses can move from #AI# experimentation to real-world deployment. The discussion was energetic and highly practical, with participants sharing real use cases, deployment challenges, and solution approaches across industries, from SME operators to enterprise teams. One message came through clearly: AI is moving beyond experimentation into execution, integration, and measurable business impact. A few key takeaways stood out: 🤖 AI adoption is gaining traction across customer service, coding, sales, productivity, robotics, IoT, and agentic AI. 🎯 Scaling AI still requires companies to address cost, infrastructure complexity, trust, regulation, data privacy, and internal readiness. 🚀 The fastest-moving companies are shortening planning cycles, launching practical solutions earlier, testing in real-world environments, and iterating quickly. At Bitdeer AI, we believe scalable AI infrastructure is essential to helping businesses turn AI ideas into production-ready outcomes. As our commitment is to eliminate infrastructure complexity and cost barriers, enabling teams to build, deploy, and scale AI with speed and confidence. Thank you to e27 and all participants for the insightful discussion. #AIAdoption# #necloud# #AIInfrastructure# #AI#

Neoclouds have limited cybersecurity. Next time agents successfully go rouge, they'll try taking over a neocloud to run more copies. This is bad. Thus: neoclouds should greatly strengthen their cybersecurity and every company with strong cyber models should help with that.

Neocloud Lambda has raised $1B in private debt to buy Nvidia AI chips and lease them to Microsoft. It's the latest in a string of loans, underscoring the high cost of the AI boom.

Neoclouds are scaling faster than the hyperscalers ever did because AI turned scarce power and GPU-ready infrastructure into the biggest bottleneck in computing. $CRWV reached $2.6B of quarterly revenue by quarter 26 versus ~$600M for $AMZN AWS at the same point while $NBIS is already ~$580M by quarter seven as both monetize capacity in a market where demand significantly exceeds supply. What makes the model even more durable that the demand is increasingly contracted with CoreWeave sitting on $104B of backlog and Nebius above $46B as $MSFT and $META effectively help finance outside capacity they cannot build fast enough on their own.

Neoclouds: A Short Story -> $NBIS: 242% YTD - "Nebius will take care of you" ( $NVDA's Jensen Huang). -> $CRWV: 67% YTD - debt machine. -> $IREN: 58% YTD - excessive dilution. Nebius will become a $100B company in Q3.