Sirshak Das

Sirshak Das is a senior software engineer at NVIDIA, working in the AI Data-Infra Optimization group, where he focuses on optimizing communication efficiency for large-scale AI workloads. Before joining NVIDIA, he held engineering roles at several organizations, including Microsoft, Arm, Indiana University, Cisco, and Verizon, where he worked on technologies spanning cloud networking, FPGA- and DPU-based SmartNICs, user-space TCP/IP stacks, and router and switch operating systems.
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Posts by Sirshak Das

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Networking / Communications May 07, 2026

Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus

Distributed deep learning depends on fast, reliable GPU-to-GPU communication using the NVIDIA Collective Communication Library (NCCL). When training slows down,... 7 MIN READ
Networking / Communications Dec 10, 2025

Enhancing Communication Observability of AI Workloads with NCCL Inspector

When using the NVIDIA Collective Communication Library (NCCL) to run a deep learning training or inference workload that uses collective operations (such as... 6 MIN READ
Networking / Communications Nov 10, 2025

Fusing Communication and Compute with New Device API and Copy Engine Collectives in NVIDIA NCCL 2.28

The latest release of the NVIDIA Collective Communications Library (NCCL) introduces a groundbreaking fusion of communication and computation for higher... 9 MIN READ