Highlights:

• Collaboration permits computerized pipeline for construction, fine-tuning, and deploying Qualcomm AI Hub fashions throughout IoT, Compute, Automobile, and Cell gadgets powered by way of Snapdragon and Qualcomm platforms. 
• Allows builders to accomplish complicated AI type construction at the Dataloop platform and deploy those fashions to gadgets powered by way of Snapdragon platforms.
• AI type and alertness builders can utility computerized AI pipelines without delay on Dataloop AI’s platform along Qualcomm Applied sciences’ optimized AI fashions on gadgets that comprise Snapdragon and Qualcomm platforms.
• Collaboration targets to simplify settingup of devoted, top quality AI fashions and packages for Snapdragon and Qualcomm platforms. 

TEL AVIV, Israel and MAUI, Hawaii, Oct. 21, 2024 /PRNewswire/ — Dataloop AI, an end-to-end, data-centric AI construction platform for information and AI groups, has introduced lately at Snapdragon Summit a collaboration with Qualcomm Applied sciences, Inc.. This collaboration targets to seriously boost up AI type construction for cellular, car, IoT, and alternative computing gadgets powered by way of Snapdragon platforms.

With the newly created, totally computerized AI Pipeline at the Dataloop AI platform, software and type builders achieve direct get admission to to a complete suite of AI construction gear for construction fashions and packages adapted for gadgets powered by way of Snapdragon® platforms. They may be able to after utility  Qualcomm® AI Hub to seamlessly deploy those fashions throughout a big selection of gadgets powered by way of Snapdragon platforms.

Dataloop permits AI builders to streamline all of the AI lifecycle thru an automatic pipeline that comes with information curation, labelling, type fine-tuning, and integration with Qualcomm AI Hub, which compiles, optimizes, and profiles the ready-to-deploy type.

Nir Buschi, Co-Founder & CBO at Dataloop AI, mentioned: “The Qualcomm AI Hub helps enhance the efficiency of AI development. Dataloop’s comprehensive platform simplifies the entire AI lifecycle, while Qualcomm Technologies’ innovations enable models that are optimized and ready for deployment on edge devices, empowering developers to accelerate innovation and bring AI solutions to market faster.”

Siddhika Nevrekar, Senior Director of Product Control at Qualcomm Applied sciences Inc., mentioned: “Qualcomm Technologies is collaborating with Dataloop to streamline on-device AI deployment. With Dataloop’s automated pipelines and robust data management, developers can effortlessly create powerful AI systems and seamlessly deploy them on-device using our Qualcomm AI Hub.” 

Dataloop helps AI groups all the way through all of the AI software deployment procedure, enabling them to persistently manufacture and deploy packages hastily and correctly. With its data-agnostic method and help for various forms of unstructured information, it addresses the wishes of industries coping with advanced information workflows and demanding situations in information trait and AI type coaching. 

About Dataloop

Dataloop AI is an enterprise-grade, end-to-end data-centric AI construction resolution supplier that assists AI and knowledge groups all the way through all of the AI go, from prototype to full-scale manufacturing. It comprises powerful information control for visualizing and looking thru troves of unstructured information, an orchestration layer for customizing manufacturing Gen AI pipelines, LLM and MLOps tooling and an AI cloud order for streamlining AI workflows and alertness construction.

Based in 2017, Dataloop has raised $50M to time and operates throughout the United States, ISL, and UAE. For more info seek advice from: https://dataloop.ai.

Snapdragon and Qualcomm branded merchandise are merchandise of Qualcomm Applied sciences, Inc.

Qualcomm and Snapdragon are logos or registered logos of Qualcomm Integrated.

DATALOOP PRESS CONTACT: 

Leah Stern
Spouse, International Communications @OurCrowd
UK: +44-747-019-6826 / [email protected]

SOURCE Dataloop

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