Post-Quantum Cryptography in Mirantis Container Runtime
From the source: Mirantis BlogAs part of an upcoming release, we're adding post‑quantum protection to the TLS connections Mirantis Container Runtime (MCR) relies on, starting with the key exchange, the part that matters most today. It happens automatically, your certificates don't change, your FIPS compliance remains intact, and the performance impact is small enough that most workloads won't notice it. This post explains…
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Recent updates from Mirantis, so you can tell whether this is a one-off or part of a pattern.
Mirantis Positioned as a Challenger in the 2026 Gartner® Magic Quadrant™ for Container Management
Mirantis has been positioned as a Challenger in the 2026 Gartner® Magic Quadrant™ for Container Management.
Mirantis k0rdent AI Certified through the NVIDIA-Certified Hypervisors Program
Virtualizing GPUs only pays if the performance tax is negligible. k0rdent AI passed the NVIDIA-Certified Hypervisors battery on GB200 NVL72 against bare-metal and pure-KVM baselines, with topology-aware VM placement.
Inside the k0rdent AI + NICo Integration: Bare-metal Lifecycle and DPU-enforced Tenant Isolation
Nodes cycle between tenants continuously at AI factory scale. NICo makes bare-metal lifecycle an API call and moves the tenant boundary onto BlueField DPUs; k0rdent AI composes that into one control plane.
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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…

