Cambricon’s MLU chips are far more than simple processors; they serve as a robust solution for scalable and efficient AI acceleration across cloud, edge, and data center environments.
This instructor-led program guides engineers and AI developers through the Cambricon ecosystem, covering everything from deep learning model deployment to performance optimization on MLU hardware.
Training is offered as live online sessions via interactive remote desktop or as onsite workshops in Prague, where hands-on labs address the specific AI challenges that Cambricon is designed to solve.
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 Prague or at a NobleProg training center tailored for immersive technical learning.
Known also as Cambricon AI, MLU accelerator, or Machine Learning Unit, this training supports teams building AI infrastructure that goes beyond the conventional GPU path.
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 instructor-led live training in Prague empowers developers to construct and deploy AI models on Cambricon MLUs using BANGPy and Neuware. Participants will learn to configure their environments, build optimized models, and integrate MLU acceleration into both edge and data center applications.
Online Cambricon AI training in Prague, Cambricon (MLU) training courses in Prague, Weekend MLU accelerator courses in Prague, Evening Cambricon (MLU) training in Prague, Machine Learning Unit instructor-led in Prague, Cambricon AI boot camp in Prague, Machine Learning Unit classes in Prague, MLU accelerator private courses in Prague, Evening Machine Learning Unit courses in Prague, Machine Learning Unit trainer in Prague, Cambricon AI instructor in Prague, Weekend Machine Learning Unit training in Prague, Cambricon AI coaching in Prague, Machine Learning Unit on-site in Prague, Cambricon (MLU) one on one training in Prague, Online MLU accelerator training in Prague, Cambricon AI instructor-led in Prague
