
In February 2026, Manas Malhotra enhanced GPU resource allocation in the OCP-on-NERC/nerc-ocp-config repository, increasing v100 access from three to five and enabling a100 access for the first time. This update, implemented through YAML-based Kubernetes configuration, expanded compute capacity for larger GPU workloads and improved throughput for data processing and machine learning tasks. Manas applied skills in cloud infrastructure management, capacity planning, and configuration management, collaborating across teams to align resource scheduling with hardware acceleration needs. The work addressed the challenge of supporting more demanding GPU jobs, resulting in higher resource utilization and faster job turnaround without introducing new bugs.

February 2026 performance summary for OCP-on-NERC/nerc-ocp-config: Delivered GPU Resource Allocation Enhancement to boost compute capacity for v100 and a100 classes. Increased v100 access from 3 to 5 and a100 access from 0 to 1, enabling larger GPU workloads and faster throughput. Implemented via commit 18865e11b5f7a647f81dc9b11c995298c60c61ac. No major bugs reported this month. Impact: higher utilization of GPU resources, improved job turnaround, and support for data processing and ML workloads. Skills demonstrated include capacity planning, GPU resource management, configuration management, Git, and cross-team collaboration with hardware acceleration.
February 2026 performance summary for OCP-on-NERC/nerc-ocp-config: Delivered GPU Resource Allocation Enhancement to boost compute capacity for v100 and a100 classes. Increased v100 access from 3 to 5 and a100 access from 0 to 1, enabling larger GPU workloads and faster throughput. Implemented via commit 18865e11b5f7a647f81dc9b11c995298c60c61ac. No major bugs reported this month. Impact: higher utilization of GPU resources, improved job turnaround, and support for data processing and ML workloads. Skills demonstrated include capacity planning, GPU resource management, configuration management, Git, and cross-team collaboration with hardware acceleration.
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