Huawei Ascend Kurs i Norge

CloudMatrix is Huawei’s unified AI development and deployment platform designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform with CANN and MindSpore integration.

By the end of this training, participants will be able to:

• Use CloudMatrix for model packaging, deployment, and serving.
• Convert and optimize models for Ascend chipsets.
• Set up pipelines for real-time and batch inference tasks.
• Monitor deployments and tune performance in production settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of CloudMatrix with real deployment scenarios.
• Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

• To request a customized training for this course based on your AI infrastructure or cloud environment, please contact us to arrange.

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each offering unique acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI infrastructure and performance engineers who wish to optimize model inference and training workflows across multiple Chinese AI chip platforms.

By the end of this training, participants will be able to:

• Benchmark models on Ascend, Biren, and Cambricon platforms.
• Identify system bottlenecks and memory/compute inefficiencies.
• Apply graph-level, kernel-level, and operator-level optimizations.
• Tune deployment pipelines to improve throughput and latency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of profiling and optimization tools on each platform.
• Guided exercises focused on practical tuning scenarios.

Course Customization Options

• To request a customized training for this course based on your performance environment or model type, please contact us to arrange.

Chinese GPU architectures such as Huawei Ascend, Biren, and Cambricon MLUs offer CUDA alternatives tailored for local AI and HPC markets.

This instructor-led, live training (online or onsite) is aimed at advanced-level GPU programmers and infrastructure specialists who wish to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

By the end of this training, participants will be able to:

• Evaluate compatibility of existing CUDA workloads with Chinese chip alternatives.
• Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
• Compare performance and identify optimization points across platforms.
• Address practical challenges in cross-architecture support and deployment.

Format of the Course

• Interactive lecture and discussion.
• Hands-on code translation and performance comparison labs.
• Guided exercises focused on multi-GPU adaptation strategies.

Course Customization Options

• To request a customized training for this course based on your platform or CUDA project, please contact us to arrange.

Huawei Ascend er en familie av AI-prosessorer som er designet for høyytelsesfull inferens og trening.

Denne instruktørledede, live-trainingen (online eller på sted) er rettet mot mellomnivå AI-ingeniører og datavitere som ønsker å utvikle og optimalisere neuronnettverksmodeller ved hjelp av Huaweis Ascend-plattform og CANN-verktøykassen.

Ved slutten av denne opplæringen vil deltakerne kunne:

• Sette opp og konfigurere CANN-utviklingsmiljøet.
• Utvikle AI-applikasjoner ved hjelp av MindSpore og CloudMatrix-arbeidsflyt.
• Optimalisere ytelse på Ascend NPU-er ved hjelp av tilpassede operatører og tiling.
• Distribuere modeller til kant- eller sky-miljøer.

Formatet på kurset

• Interaktiv forelesning og diskusjon.
• Hendene-i-bruk av Huawei Ascend og CANN-verktøykassen i eksempelapplikasjoner.
• Veiledende øvelser fokusert på modellbygging, trening og distribusjon.

Kursets tilpassingsmuligheter

• For å be om en tilpasset opplæring for dette kurset basert på din infrastruktur eller datasett, kontakt oss for å ordne.