Bengaluru, India

Nipun Kwatra

USPTO Granted Patents = 9 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 18(Granted Patents)


Location History:

  • Mountain View, CA (US) (2016)
  • Bengaluru, IN (2014 - 2020)

Company Filing History:


Years Active: 2014-2025

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9 patents (USPTO):

Title: Nipun Kwatra: Innovator in AI Workload Scheduling

Introduction

Nipun Kwatra is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence and cloud computing. With a total of 9 patents to his name, Kwatra has established himself as a key figure in the innovation landscape.

Latest Patents

One of his latest patents is titled "Scheduler for planet-scale computing system." This invention describes a method for scheduling the execution of AI workloads within a cloud infrastructure platform. The global scheduler receives AI workloads associated with resource ticket values and distributes them to nodes based on balancing these values. Local schedulers then manage the execution of these workloads on resources, ensuring efficient use of infrastructure.

Another notable patent is "Transparent pre-emption and migration for planet-scale computer." This invention focuses on platform-level checkpointing for deep learning jobs. It captures both GPU and CPU state data to facilitate the restoration of deep learning contexts. The mechanism allows for efficient memory management and state restoration, enhancing the performance of AI applications.

Career Highlights

Nipun Kwatra has worked with leading technology companies, including Google Inc. and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his expertise in AI and cloud computing technologies.

Collaborations

Throughout his career, Kwatra has collaborated with notable professionals in the field, including Vivek Raghunathan and David G Arthur. These collaborations have further enriched his work and innovations.

Conclusion

Nipun Kwatra is a distinguished inventor whose work in AI workload scheduling and deep learning has made a significant impact on the technology landscape. His innovative patents and contributions to major tech companies highlight his role as a leader in the field.

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