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

Networking / Communications

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

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