Cutting-edge in the industry! An explanation of the efficient use of GPUs with AI.
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.
- Company：スマートホールディングス
- Price：Other
