Posts by Shrey Ajmera
Spur: Modern GPU Job Scheduling for HPC and AI Workloads
- 22 July 2026
The explosion of AI and large-scale model training has fundamentally changed how organizations think about GPU clusters. Traditional HPC schedulers were built in an era when CPUs dominated, and GPU support was retrofitted as an afterthought. Meanwhile, Kubernetes emerged from the cloud-native world with powerful orchestration primitives—but batch GPU scheduling and Slurm-style job workflows remain friction points unless you assemble a full ecosystem of operators, custom schedulers, and queueing layers on top of the default control plane.
Reimagining GPU Allocation in Kubernetes: Introducing the AMD GPU DRA Driver
- 13 January 2026
In this blog, you’ll learn how Kubernetes’ new Dynamic Resource Allocation (DRA) framework and the AMD GPU DRA Driver turn GPUs into first-class, attribute-aware resources. We’ll walk through how to publish AMD Instinct GPUs via ResourceSlices, request specific models and partition profiles with declarative ResourceClaims, and observe allocations through Kubernetes-native lifecycle objects, so you can simplify cluster operations compared to traditional Device Plugin–based setups.
Introducing the AMD Network Operator v1.0.0: Simplifying High-Performance Networking for AMD Platforms
- 08 January 2026
In this blog, you will learn how the AMD Network Operator simplifies high-performance networking for AMD GPU clusters, automates NIC discovery and configuration, supports RDMA/RoCE workloads, and provides real-time monitoring to keep your AI/ML and HPC jobs running efficiently.