Dynamic Resource Allocation Goes GA: How to Run AI Workloads on Kubernetes the Right Way
Kubernetes 1.34 brings Dynamic Resource Allocation to GA, enabling proper GPU sharing, topology-aware scheduling, and gang scheduling for AI/ML workloads.
Tag: ai
Why AI platforms keep landing on Kubernetes (and what platform teams should standardize next)
CNCF argues the AI stack is converging on Kubernetes—data pipelines, training, inference, and long-running agents. Here’s what’s actually driving the migration, the hidden operational tax it removes, and the platform-level standards teams should lock in before the next wave hits.
GPT-5.4 lands in GitHub Copilot: what changes when ‘agentic coding’ goes mainstream
GitHub says GPT-5.4 is rolling out in Copilot, emphasizing agentic, tool-dependent workflows. The shift isn’t just better autocomplete—it’s a new integration surface (model policies, session controls, and agent execution environments) that enterprises will have to govern.
NVIDIA GTC 2026: Featured Speakers, Registration Links, and Why to Attend
NVIDIA GTC 2026 (March 16–19, San Jose) is shaping up to be a full‑stack AI and accelerated computing week—from Jensen Huang’s keynote to hands‑on training, agentic AI sessions, and deep dives into inference, CUDA, and robotics. Here’s what to expect, who’s featured, and how to register.
Kubernetes 1.35’s ‘Restart All Containers’: why in-place restarts matter for ops and AI workloads
Kubernetes 1.35 introduces an alpha ‘Restart All Containers’ capability that makes a whole‑Pod refresh a first‑class operation. Here’s where it helps, where it can hurt, and how to roll it out safely.
KubeCon + CloudNativeCon Europe 2026: What to Watch in Amsterdam (March 23–26)
KubeCon + CloudNativeCon Europe heads back to Amsterdam on March 23–26, 2026. Here’s a practical preview of the themes to track—platform engineering, security, observability, and AI—and how to get more value out of the week.
DevOps trend: AI assistants move into CI/CD and incident response—how to do it safely
Agentic workflows can reduce toil in pipelines and incidents, but only with clear tiers of access, provenance controls, and strong audit trails.