As global GPU supply chains undergo transformation, innovation provides the solution. Biren steps forward as a decisive Chinese response to the requirements of high-performance AI computing.
Through these instructor-led courses, learners engage directly with Biren’s architecture. Key competencies include mastering memory throughput, enhancing parallelism, and adjusting deep learning models for BR100-class accelerators.
Training can be accessed via live online sessions through an interactive remote desktop, or via onsite live training in Gaia. The curriculum features exercises modeled on large-scale, real-world AI workloads.
Organizations located in Gaia may choose to host onsite sessions at their own premises or participate in team-focused courses at a NobleProg training center within Gaia.
Often identified as Biren GPU, BR100, or the Chinese AI accelerator, this course track is vital for teams preparing for the future of computational independence.
NobleProg – Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
Master the optimization of AI workloads on Ascend, Biren, and Cambricon through this practical training in Gaia. You will learn to benchmark models, uncover performance bottlenecks, and apply graph, kernel, and operator-level optimizations. Additionally, you will tune deployment pipelines to boost throughput and minimize latency across these leading platforms.
Migrate CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Gaia. This instructor-led course guides advanced programmers through code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.
This live training on Gaia empowers developers to effectively programme and optimise applications on Biren AI accelerators. Attendees will delve into the GPU architecture, configure the SDK, and adapt CUDA code for Biren. The curriculum places a strong emphasis on performance tuning and debugging strategies.
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