Cambricon’s MLU chips are not merely processors; they represent China’s strategic approach to scalable and efficient AI acceleration across cloud, edge, and data center settings.
Through this instructor-led training, engineers and AI developers navigate the Cambricon stack, covering the full spectrum from deploying deep learning models to optimizing performance on MLU hardware.
Courses are available as live online training conducted over interactive remote desktop, or as onsite sessions in Varna, where practical labs replicate the real-world AI challenges that Cambricon technology is engineered to address.
Whether you are expanding an AI lab or preparing a data center team for the future, onsite sessions can be hosted at your facility in Varna or at a NobleProg training center built for immersive technical learning.
Also known as Cambricon AI, MLU accelerator, or Machine Learning Unit, this training supports teams developing AI infrastructure beyond the standard GPU approach.
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.
Optimize AI workloads on Ascend, Biren, and Cambricon with this hands-on training in Varna. Learn to benchmark models, identify bottlenecks, and apply graph, kernel, and operator-level optimizations. Tune deployment pipelines to enhance throughput and latency across these leading platforms.
Migrate CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Varna. This instructor-led course guides advanced programmers through code translation and performance optimization, covering hands-on labs for porting CUDA codebases to new SDKs.
This instructor-led live training in Varna equips developers with the skills to build and deploy AI models using BANGPy and Neuware on Cambricon MLUs. Participants will configure environments, develop optimized models, and integrate MLU acceleration into edge and data center applications.
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