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Evolving Comms Libraries in ROCm for Future AI Workloads

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This talk covers advances in AMD ROCm communication libraries for large-scale AI. RCCL innovations include copy-engine offloading, symmetric memory, GPU-initiated collectives, congestion-aware load balancing, and port failover. rocSHMEM extends an OpenSHMEM-like model with Python and Triton support, while NIXL contributions enable efficient inference. Together, they support diverse NICs like AMD Pensando AINICs and Broadcom Thor.

July 22, 2026 16:30 - 16:50

Shashidhar Gandham
Shashidhar Gandham

Corp. VP Software Development | AMD

Maria Garzaran
Maria Garzaran

Fellow Software Development | AMD

Topic

AI Training & Inference

Session Type

Tech Talk

Related Product

Instinct, ROCm

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