Cambricon’s MLU chips are far more than simple processors; they represent a scalable and efficient approach to AI acceleration across cloud, edge, and data center environments.
This instructor-led training program guides engineers and AI developers through the comprehensive Cambricon stack, covering everything from deploying deep learning models to optimizing performance on MLU hardware.
Courses can be delivered as live online training via interactive remote desktop, or held onsite in Durban. In both formats, hands-on labs are designed to reflect the specific AI challenges that Cambricon technology is built to address.
Whether you are expanding an AI lab or preparing your data center team for the future, onsite sessions can be hosted at your facility in Durban or at a NobleProg training center equipped for immersive technical learning.
Also known as Cambricon AI, the MLU accelerator, or the Machine Learning Unit, this training supports teams aiming to build AI infrastructure that goes beyond conventional GPU solutions.
NobleProg – Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
Optimise AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Durban. Gain the ability to benchmark models, pinpoint bottlenecks, and apply graph, kernel, and operator-level optimisations. Fine-tune deployment pipelines to boost throughput and latency performance across these leading platforms.
Transition CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Durban. This live course supports advanced developers in code translation and performance tuning, featuring practical labs for migrating CUDA codebases to new SDKs.
This instructor-led live training in Durban empowers developers with the necessary skills to build and deploy AI models using BANGPy and Neuware on Cambricon MLUs. Learners will configure environments, develop optimized models, and integrate MLU acceleration into edge and data center applications.
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