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 Sofia. The curriculum incorporates exercises modeled after real-world, large-scale AI workloads.
Organizations in Sofia have the option to host onsite sessions at their own premises or participate in team-based courses at a NobleProg training center in Sofia.
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
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
Optimize AI workloads on Ascend, Biren, and Cambricon with this hands-on training in Sofia. 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 Sofia. 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 Sofia 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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