SUSE at World Summit AI 2026: Enabling Sovereign Enterprise AI
Key takeaways Connect with SUSE experts at World Summit AI 2026 in Amsterdam to explore sovereign enterprise AI solutions. Save 20% on event registration with discount code SUSE20. Visit Booth G42 to learn how to transition AI workloads safely from sandbox development to global production. European enterprises are accelerating AI adoption while prioritizing open, sovereign […] The post SUSE at…
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We Gave Our Agents Autonomy. Here’s How We Kept Control.
Co-authored by Stacey Miller & Troy Mangum Key Takeaways The problem: Agents have demonstrated their ability to escape lab environments and access unauthorized systems. Prompt and model safeguards guide behavior; infrastructure controls limit access and actions. The solution: SUSE AI Factory with NVIDIA with NVIDIA Open Agent Safety Platform helps enforce agentic security at enterprise […] The…
Clearing the Vulnerability Backlog Safely: Agentic SecOps on SUSE AI Factory with the NVIDIA Open Agent Safety Platform
Scan a mid-sized container estate and you get back somewhere north of four thousand findings. Maybe thirty matter. The rest are unreachable code paths, packages that aren’t installed at runtime, images nobody has deployed since the last reorg. Working out which thirty is not hard, exactly, it’s just that each one takes twenty minutes […] The post Clearing the Vulnerability Backlog Safely:…
The path to a sovereign autonomous enterprise: Why open source is your clean core advantage
Key Takeaways Building an autonomous SAP environment requires balancing rapid AI innovation with strict data control and compliance. Keeping your SAP core clean relies on hybrid integration, private AI deployment, and open virtualization strategies. Open-source architecture provides true technological sovereignty, preventing lock-in and eliminating rising hypervisor costs. Managing…
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Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have…