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Te Pou Toetoe Linwood

141 Smith Street, Linwood, Christchurch, New Zealand

Te Pou Toetoe Linwood Pool is a well-equipped, accessible venue ideal for hosting training courses, workshops, and education places the facility provides a convenient and professional environment for both instructors and participants. The venue offers easy access for attendees, with on-site parking available directly outside the main entrance, ensuring smooth arrival for course groups and equipment transport. For those travelling by public transport, the facility is serviced by multiple bus routes, including 80, 155, and the Orbiter, with nearby stops providing straightforward connections from across Christchurch. With its modern amenities, accessible layout, and convenient transport links, Te Pou Toetoe Linwood Pool is an excellent choice for delivering practical, engaging, and well-supported training sessions.

Subcategories (4)

Explore Our Courses

Developing AI Applications with Huawei Ascend and CANN

21 Hours

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

14 Hours

GPU Programming with OpenACC

28 Hours

CANN SDK for Computer Vision and NLP Pipelines

14 Hours

Introduction to GPU Programming

21 Hours

Building Custom AI Operators with CANN TIK and TVM

14 Hours

GPU Programming - OpenCL vs CUDA vs ROCm

28 Hours

AI Inference and Deployment with CloudMatrix

21 Hours

CANN for Edge AI Deployment

14 Hours

ROCm for Windows

21 Hours

AMD GPU Programming

28 Hours

Introduction to CANN for AI Framework Developers

7 Hours

Performance Optimization on Ascend, Biren, and Cambricon

21 Hours

Optimizing Neural Network Performance with CANN SDK

14 Hours

Migrating CUDA Applications to Chinese GPU Architectures

21 Hours

GPU Programming with CUDA

28 Hours

Deploying AI Models with CANN and Ascend AI Processors

14 Hours

GPU Programming on Biren AI Accelerators

21 Hours

Cambricon MLU Development with BANGPy and Neuware

21 Hours

Administration of CUDA

35 Hours

GPU Programming with OpenCL

28 Hours

GPU Programming with CUDA and Python

14 Hours

NVIDIA GPU Programming - Extended

21 Hours

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Testimonials (2)

Provisional Upcoming Courses (Require 5+ participants)

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