Aditi Gupta
Empowering Cloud Security: Harnessing AI for the Future
New Delhi, India
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I'm Aditi Gupta, a Software Developer Engineer. Graduated from Asia's largest tech university for women, Indira Gandhi Delhi Technical University,I've been deeply immersed in cloud-native technologies and AI/ML advancements. Skilled in containerisation, micro-service architecture, and orchestrating cloud-native environments with tools like Kubernetes, my focus revolves around strengthening cloud security through innovative approaches.
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Reinforcing the Future of GPU Scheduling in Kubernetes
Scaling up Multi GPU setup using Kubernetes for large-scale ML projects has been a prominent topic in both AI and cloud community. While Kubernetes already have the capability to provide computing power by scheduling GPU nodes, certain issues like resource fragmentation and low utilization plague the performance and result in cost issues.
Why Reinforcement Learning (RL) in particular one would ask. Well, unlike the other solutions, RL shines in its unique ability to continuously adapt to changing environments and efficiently handle Complex and Multi-dimensional Objectives making it particularly suitable for the dynamic and heterogeneous nature of Kubernetes clusters.
In this talk we shall explore the current landscape of GPU scheduling and some state-of-the-art RL algorithms proposed for scheduling. Their current impact on Kubernetes and the possible use of RLHF shall be dived deep into, hoping that the audience could gain more insights into the future of scheduling GPUs on Kubernetes.
KubeCon + CloudNativeCon India 2025 Sessionize Event Upcoming
CNCF-hosted Co-located Events Europe 2025 Sessionize Event
KubeCon + CloudNativeCon North America 2024 Sessionize Event
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