Posts

GPU autoscaling costs $23K/month and takes weeks to setup. See how leading ML teams cut costs 74% with serverless—or build it yourself with our guide.

Track GPU usage with Prometheus & DCGM. Learn monitoring setup, key metrics, and how to optimize your GPU infrastructure.

Discover the critical GPU pitfalls in self-hosting AI workloads. Learn about hardware issues, infrastructure challenges, and managed alternatives.

Under-the-hood guide to NVIDIA GPUs on Kubernetes with containerd/Minikube: drivers, NVIDIA Container Toolkit, CDI, device plugin, GPU Operator.

Install NVIDIA GPU Operator on Kubernetes; enable time-slicing on RTX 3060 to partition GPUs, boost inference utilization, and cut cloud costs.