Kazuki Yamamoto
NTT SIC, Engineer
Tokyo, Japan
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Yamamoto Kazuki is a research engineer at NTT Software Innovation Center, engaging in distributed systems and virtualization.
He has researched computing technology, optimizing compiler, and worked on CI/CD tasks.
Currently, he focuses on disaggregated computing Infrastructure and the IOWN (Innovative Optical and Wireless Network) projects.
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Effortlessly Build High-Performance AI/ML Pipelines With Accelerator Chaining and K8s Native Tech
Join us for an enlightening presentation on effortlessly building advanced, high-performance processing infrastructure for AI/ML workloads with low power consumption.
In streaming processing, accelerators are assigned only for specific tasks in the workload. By assigning each task to the appropriate accelerator and "chaining" them, we obtain high-performance infrastructure with low power consumption at the service level.
Native Kubernetes is a popular choice for deploying AI/ML workloads. However, more is needed to create a new processing form, described above, "Accelerator Chaining Pipelines."
This presentation will demonstrate how we leverage Numaflow and "Dynamic Resource Allocation"(DRA) to overcome challenges, and effortlessly build an "Accelerator Chaining Pipeline" in NTT. You will see a glimpse of future innovations, including direct data transfer and CNI extensions for high-speed communication between accelerators.
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