Month: 2025-09. Key feature delivered: GPU-accelerated computation sample for ArmoniK.Samples, demonstrating GPU-enabled distributed computing using PymoniK and JAX. Includes end-to-end setup guidance (WSL2, Docker, NVIDIA drivers, Kubernetes) and Python scripts to detect GPUs and run GPU vs CPU comparisons. This work extends ArmoniK's capability to leverage GPU resources for scalable analytics. No major bugs fixed this month. Overall impact: strengthens business value by enabling faster, GPU-powered workloads in a distributed environment, with lower time-to-insight and scalable resource utilization. Technologies/skills demonstrated: GPU computing, Python, PymoniK, JAX, WSL2, Docker, NVIDIA drivers, Kubernetes, and distributed workload orchestration.

July 2025 (Month: 2025-07) — Focused on expanding deployment flexibility for workers and reducing configuration friction in cloud deployments. Delivered a flexible resource specification for workers, enabling GPU support alongside CPU/memory, and made polling agent configuration optional for AWS and GCP deployments. These changes streamline deployments, broaden compute options, and improve time-to-value for customers.