As global GPU supply chains evolve, innovation provides the solution—Biren stands out as a definitive response to the need for high-performance AI computing.
In these instructor-led courses, participants gain hands-on experience with Biren’s architecture, learning to master memory throughput, optimize parallelism, and tune deep learning models on BR100-class accelerators.
Training is delivered via online live sessions through an interactive remote desktop or as onsite live training in Copenhagen, incorporating exercises modeled on real-world, large-scale AI workloads.
Organizations in Copenhagen have the option to host onsite sessions at their own facilities or participate in team-based courses at a NobleProg training center in Copenhagen.
Known also as Biren GPU, BR100, or Chinese AI accelerator, this course track is essential for teams preparing for the future of computational independence.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
Enhance AI workloads on Ascend, Biren, and Cambricon through this practical training in Copenhagen. Master the skills to benchmark models, pinpoint bottlenecks, and deploy graph, kernel, and operator-level optimizations. Refine deployment pipelines to boost throughput and latency performance across these leading platforms.
Transition CUDA applications to Chinese GPU structures such as Huawei Ascend and Biren within Copenhagen. This guided training supports advanced programmers through code adaptation and performance refinement, featuring practical labs for migrating CUDA codebases to emerging SDKs.
This live training in Copenhagen empowers developers to program and optimize applications on Biren AI accelerators. Participants will explore the GPU architecture, configure the SDK, and adapt CUDA code for Biren. The course emphasizes performance tuning and debugging techniques.
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