As global GPU supply chains evolve, innovation provides the solution, with Biren standing out as a bold response to the need for high-performance AI computing.
Within these instructor-led programs, participants engage hands-on with Biren’s architecture, developing proficiency in memory throughput, optimizing parallelism, and fine-tuning deep learning models on BR100-class accelerators.
Training is accessible via interactive live online sessions through a remote desktop environment, or through onsite live training in Plovdiv. The curriculum incorporates exercises modeled after real-world, large-scale AI workloads.
Organizations in Plovdiv have the option to host onsite sessions at their own premises or participate in team-based courses at a NobleProg training center in Plovdiv.
Also known as the Biren GPU, BR100, or Chinese AI accelerator, this course track is vital for teams navigating the path toward computational independence.
NobleProg – Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
Optimize AI workloads on Ascend, Biren, and Cambricon with this hands-on training in Plovdiv. Learn to benchmark models, identify bottlenecks, and apply graph, kernel, and operator-level optimizations. Tune deployment pipelines to enhance throughput and latency across these leading platforms.
Migrate CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Plovdiv. This instructor-led course guides advanced programmers through code translation and performance optimization, covering hands-on labs for porting CUDA codebases to new SDKs.
This live training in Plovdiv equips developers with the skills to program and optimize applications on Biren AI accelerators. Participants will learn the GPU architecture, set up the SDK, and translate CUDA code to Biren. It focuses on performance tuning and debugging techniques.
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