Cambricon's MLU chips are far more than standard processors; they serve as China's strategic response to the need for scalable and efficient AI acceleration in cloud, edge, and data center settings.
Our instructor-led program empowers engineers and AI developers to master the Cambricon stack, ranging from deploying deep learning models to fine-tuning performance on MLU hardware.
Training is available as live online sessions through interactive remote desktop or as on-site workshops in Bangkok, featuring hands-on labs that replicate the specific AI challenges addressed by Cambricon technology.
Whether you are expanding an AI lab or preparing your data center team for the future, on-site sessions can be hosted at your facility in Bangkok or within a NobleProg training center designed for immersive technical education.
Also known as Cambricon AI, MLU accelerators, or Machine Learning Units, this training assists teams in developing AI infrastructure that extends beyond traditional GPU architectures.
NobleProg – Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
Enhance AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Bangkok. Master the skills to benchmark models, pinpoint bottlenecks, and apply graph, kernel, and operator-level optimizations. Additionally, learn to tune deployment pipelines to boost throughput and latency performance across these premier platforms.
Migrate CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Bangkok. This instructor-led course guides advanced programmers through code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.
This live, instructor-led training in Bangkok empowers developers to construct and deploy AI models using BANGPy and Neuware on Cambricon MLUs. Participants will learn to configure environments, develop optimized models, and integrate MLU acceleration into edge and data center applications.
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