Implement the processing within the framework as needed and provide a user-friendly API!
To shorten the training time of deep learning, parallel computation using multiple GPUs is necessary. By exploring methods for efficient parallel computation, effective learning can be achieved! Additionally, we will explore and implement efficient learning methods tailored to use cases, such as model parallelism, data parallelism, and pipeline parallelism, and conduct experiments. 【Technical Details】 ■Execution of parallel learning suited to use cases ■Resolution of processing allocation issues in GPU placement *For more details, please download the PDF or feel free to contact us.
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【Goal Image】 ■Acceleration of Learning - Reduction of learning time by parallelizing the time spent on existing learning. ■Ensuring Scalability - Shortening learning time while minimizing transfer time by increasing the number of GPUs. *For more details, please download the PDF or feel free to contact us.
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Smart Group provides diverse and high-quality IT services to customers in the manufacturing industry, particularly in the automotive sector, with "ENGINEERING × VISUALIZATION" as its core competence. Leveraging the group's comprehensive capabilities, we pride ourselves on our ability to flexibly respond to various needs while aiming to enrich future living and actively challenging new fields. ■ Smartscape Inc. Engaged in the development of information systems that support design, manufacturing, production, and sales, as well as the development and sale of products characterized by efficiency tools, IoT, AI development, UI/UX design development, and 3D technology. ■ Smart Engineer Inc. Offers system service businesses that stably support IT infrastructure and is involved in content production utilizing 3DCG, as well as new technology development businesses represented by the metaverse and XR. ■ Smart Implement Inc. Provides engineering services that demonstrate high technical capabilities in areas such as automotive control system development.
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