When global GPU supply chains shift, innovation answers — and Biren emerges as China’s bold response to high-performance AI computing.
In these instructor-led courses, participants explore Biren’s architecture hands-on: mastering memory throughput, optimizing parallelism, and tuning deep learning models on BR100-class accelerators.
Training is available as online live training through an interactive remote desktop, or onsite live training in Nepal, featuring exercises inspired by real-world AI workloads at scale.
Organizations in Nepal can host onsite sessions at their facilities or join team-based courses at a NobleProg training center in Nepal.
Also referred to as Biren GPU, BR100, or Chinese AI accelerator, this course track is essential for teams navigating the future of computational independence.
NobleProg – Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Ascend, Biren, and Cambricon represent the forefront of AI hardware platforms in China, each providing distinct acceleration and profiling capabilities designed for large-scale AI workloads.
This instructor-led live training session (available online or onsite) is tailored for advanced-level AI infrastructure and performance engineers looking to enhance model inference and training workflows across various Chinese AI chip architectures.
Upon completion of this training, participants will be equipped to:
Evaluate and benchmark models across Ascend, Biren, and Cambricon environments.
Pinpoint system bottlenecks and identify inefficiencies in memory and compute resources.
Implement optimizations at the graph, kernel, and operator levels.
Optimize deployment pipelines to achieve superior throughput and reduced latency.
Training Format
Interactive lectures coupled with open discussions.
Practical application of profiling and optimization tools on each specific platform.
Guided exercises centered on real-world tuning scenarios.
Customization Options
For tailored training sessions based on your specific performance environment or model requirements, please reach out to us to coordinate.
Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide CUDA alternatives specifically designed for the local AI and High-Performance Computing (HPC) markets.
This instructor-led live training, available online or onsite, targets advanced GPU programmers and infrastructure specialists looking to migrate and optimize their existing CUDA applications for deployment on Chinese hardware platforms.
Upon completion of this training, participants will be able to:
Evaluate the compatibility of existing CUDA workloads with Chinese chip alternatives.
Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
Compare performance metrics and identify key optimization points across different platforms.
Address practical challenges related to cross-architecture support and deployment.
Format of the Course
Interactive lectures and discussions.
Hands-on labs focused on code translation and performance comparison.
Biren AI Accelerators are high-performance GPUs engineered for AI and HPC workloads, enabling large-scale training and inference.
This instructor-led live training (available online or onsite) targets intermediate to advanced developers who want to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.
Upon completing this training, participants will be able to:
Grasp the Biren GPU architecture and its memory hierarchy.
Configure the development environment and utilize Biren’s programming model.
Translate and optimize CUDA-style code for Biren platforms.
Implement performance tuning and debugging strategies.
Course Format
Interactive lectures and discussions.
Hands-on exploration of the Biren SDK using sample GPU workloads.
Guided exercises concentrating on porting and performance tuning.
Customization Options
For customized training tailored to your specific application stack or integration requirements, please contact us to arrange a session.
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