Newsroom

We’re progressing toward a shift in the GPU adoption lifecycle. Companies have deployed hundreds of thousands of GPUs to get AI services running, and will soon face the scrutiny that comes with large cost line items. Read more →

In 2026, we can expect a significant shift in how companies approach AI infrastructure. The models have become smart enough that most organizations won’t need to train their own.. Read more →

Densify CTO Andrew Hillier reveals how organizations can unlock the full potential of their AI workloads by combining security-first isolation with intelligent Kubernetes optimization to maximize GPU efficiency. Read more →

Densify CTO Andrew Hillier argues that real-world Kubernetes efficiency demands far more than autoscaling—it requires workload mapping, demand forecasting, continuous tuning and a business mindset to unlock true yield. Read more →

Moving beyond basic scaling in Kubernetes means using automated, policy-based optimization to right-size resources, cut waste, boost delivery speed and freeing developers from tuning infrastructure manually. Read more →

Seven cost-optimization pitfalls that undermine long-term savings, from short-term fixes and misaligned goals to poor cloud management and hasty cuts. Read more →

New platform introduces an “always-on” agent for AI, GPU, and Kubernetes resource optimization. Read more →

Densify’s new MCP Server brings AI-driven Kubernetes and GPU optimization into developer workflows to boost efficiency and cut costs. Read more →