公开(公告)号：WO2022261259A1

公开(公告)日：2022-12-15

申请号：PCT/US2022/032740

申请日：2022-06-08

Applicant: NVIDIA CORPORATION

Inventor： GUPTE, Shaunak ,  GAIKWAD, Prashant ,  RAMALAD, Chandrahas, Jagadish ,  RUPDE, Bhushan

IPC: G06F8/20 ,  G06F8/34 ,  G06F8/38 ,  G06F8/60 ,  G06N20/00

Abstract: Embodiments of the present disclosure relate to applications and platforms for configuring machine learning models for training and deployment using graphical components in a development environment. For example, systems and methods are disclosed that relate to determining one or more machine learning models and one or more processing operations corresponding to the one or more machine learning models. Further, a model component may be generated using the one or more machine learning models, the one or more processing operations, and one or more extension libraries in which the one or more extension libraries indicate one or more deployment parameters related to the one or more machine learning models. The model component may accordingly provide data that may be used to be able to use and deploy the one or more machine learning models.

公开(公告)号：WO2022031629A1

公开(公告)日：2022-02-10

申请号：PCT/US2021/044239

申请日：2021-08-02

Applicant: NVIDIA CORPORATION

Inventor： GUPTE, Shaunak ,  KALE, Amit ,  RUPDE, Bhushan ,  PURANDARE, Kaustubh

IPC: G06F9/50 ,  G06F2209/5022 ,  G06F2209/506 ,  G06F9/5088

Abstract: Apparatuses, systems, and techniques to balance processing load between a plurality of hardware accelerators. In at least one embodiment, operations performed on batches of frames of a video (e.g., as part of a video analytics pipeline) are distributed by a load balancer between a first hardware accelerator and a second hardware accelerator.