High Performance Computing for AI/ML
Cloudam serves as a powerful engine for machine learning with datasets, algorithm models, and cloud GPUs that facilitates data creation, processing, annotating, model training, optimization, deployment, etc.
With pre-installed Jupyter Notebook and Anaconda, you can harness the full power of popular Python libraries to analyze and visualize data.
Flexible Hardware Scheduling
Various high-performance GPU choices are at your disposal.
Full-stack HPC+AI Environment
Popular ML frameworks are pre-configured and tested on various hardware architectures on Cloudam.
Flexible pricing for different GPUs ensures efficiency and budget control at the same time.
Tsinghua & Cloudam: Training NLP Model of 100 Billion Parameters
Tsinghua University AI Labs trained its 100bn parameters' NLP model on Cloudam's elastic cloud HPC-AI clusters 5 times faster than expected because of the attributes below:
Scalable & Manageable AI Clusters
Up to 3000 V100 & A100 GPU cards are available to deploy with SLURM as the job scheduler that allows 100% focus on training.
The HPC system smartly schedules the latest hardware ensuring zero queues, and automatically terminate resources when there are no jobs.
Clusters on public cloud facilities seamless cross-regional cooperation of scientists worldwide to train NLP models.