Avoiding Vendor Lock-In Through an Open Source Approach: A Developer’s Perspective
Every infrastructure team makes decisions that are difficult to reverse. Most of the time, that works out. Sometimes it does not. Vendor lock-in usually begins as a reasonable choice, made under pressure, that solves a real problem at the time. A managed service ships faster or a deployment model fits better in that moment, but […] The post Avoiding Vendor Lock-In Through an Open Source Approach:…
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The Rise of Agentic AI on Kubernetes: Unleashing the New Infrastructure Layer
AI is changing expectations around infrastructure and operations, including Kubernetes management. When models run close to the data they use, it tends to push deployment, scaling and governance responsibilities onto platform teams. And as clusters, environments and operational signals continue to multiply, manual operations often strain under the added weight. AI may simultaneously provide…
Elevating cloud choice: SUSE teams with Ingram Micro to streamline AWS and Microsoft Marketplace procurement
Key takeaways SUSE is expanding its SUSE Cloud Elevate program by collaborating with Ingram Micro across AWS and Microsoft Marketplaces. 100% of the SUSE portfolio on these marketplaces is eligible to count towards the cloud spend commitments including AWS Private Pricing Agreements (PPA) or Microsoft Azure Consumption Commitments (MACC). Marketplace transactions reduce procurement cycles by […]…
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…
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Creating a private 5G network
As private 5G evolves from experimentation into production readiness, its success hinges on a fundamental architectural shift: replacing heavyweight, legacy virtualization stacks with agile, softwarized infrastructure that reduces operational expenditure (OpEx) and accelerates service delivery.
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…
AI21 achieves an 83% reduction in time-to-start for AI workloads with AI Hypercomputer
Editor’s note : AI21 Labs is a leading global AI lab with a long track record of building foundation models, most notably the Jamba family, and today focuses on specialized LLMs and agent optimization technology. By adopting Google Cloud AI Hypercomputer, AI21 cut high-priority job wait times from 72 hours to 12 and manual scheduling interventions from 20 per week to zero. At AI21 , we build…
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…