Join us to gain deep technical experience with AI and machine learning. Our on-premise supercomputer enables experimentation with the latest AI and ML software and hardware.
Program Overview
Participants will learn software engineering for IoT, MIoT (Medical IoT), AI and Machine Learning, make prototypes, and work in teams to build business models for new products. Activities and modules covered include:
- Commercial grade IoT prototyping
- Digital Healthcare infrastructure and telehealth for Virtual Emergency Department (ED)
- Visualisation, Collaboration and Analytics
- Advanced space occupancy and utilisation platforms
Our Assets
8 GPU Lambda Labs Ai Cluster and data centre
1. Operating system: Ubuntu 20.04: Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
2. Processor: 2x AMD EPYC 7763: 64 cores, 2.45 GHz, 256 MB cache, PCIe 4.0
3. GPUs: 8x NVIDIA Tesla A100 (PCIe): NVLinked, 80 GB of VRAM per GPU
4. Memory: 4096 GB
5. Operating system drive: 15.36 TB NVMe
6. Extra storage: 15.36 TB NVMe
7. On-premise Data storage – 330TB
Next Steps
Discover how our commercial-grade prototyping services can bring your innovative ideas to life.
