As global GPU supply chains undergo transformation, innovation provides the solution — with Biren positioning itself as a pivotal response to the demands of high-performance AI computing.
Through these instructor-led programs, participants engage directly with Biren’s architecture, gaining proficiency in memory throughput, parallelism optimization, and the fine-tuning of deep learning models on BR100-class accelerators.
Training options include live online sessions conducted via an interactive remote desktop, or onsite live training in Prague, featuring practical exercises derived from large-scale, real-world AI workloads.
Organizations based in Prague have the flexibility to host onsite sessions at their own premises or participate in team-oriented courses at a NobleProg training center located in Prague.
Also known as Biren GPU, BR100, or the Chinese AI accelerator, this course track is vital for teams charting a course toward computational independence.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
Master AI workload optimization on Ascend, Biren, and Cambricon through this practical training in Prague. Develop skills to benchmark models, pinpoint performance bottlenecks, and deploy graph, kernel, and operator-level optimizations. Refine deployment pipelines to boost throughput and latency across these premier hardware platforms.
Migrate CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Prague. This instructor-led course supports advanced programmers in code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.
This live training on Prague empowers developers to program and optimize applications on Biren AI accelerators. Participants will explore the GPU architecture, configure the SDK, and migrate CUDA code to the Biren platform. The course places a strong emphasis on performance tuning and debugging methodologies.
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