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 Varna. The curriculum incorporates exercises modeled after real-world, large-scale AI workloads.
Organizations in Varna have the option to host onsite sessions at their own premises or participate in team-based courses at a NobleProg training center in Varna.
Also known as the Biren GPU, BR100, or Chinese AI accelerator, this course track is vital for teams navigating the path toward computational independence.
The "Central Point" complex offers quick access to main roads leading to the airport, the northern and southern resorts and the Varna - Sofia and Varna - Burgas highways.
Enhance AI workload performance on Ascend, Biren, and Cambricon through this practical training in Varna. Master model benchmarking, pinpoint bottlenecks, and deploy graph, kernel, and operator-level optimizations. Refine deployment pipelines to optimize throughput and latency across these top-tier platforms.
Transition CUDA applications to Chinese GPU ecosystems, such as Huawei Ascend and Biren, within Varna. This instructor-led course assists advanced programmers in code translation and performance refinement, featuring practical labs for porting CUDA codebases to emerging SDKs.
This live training on Varna empowers developers to program and optimize applications on Biren AI accelerators. Learners will explore GPU architecture, configure the SDK, and adapt CUDA code for Biren. The course emphasizes performance tuning and debugging techniques.
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