Machine Learning and Deep Learning on-demand
From data exploration to building and training your machine learning model across a GPU cluster and deploying your model to production, our GPU instances can cover the full life cycle with a framework that suits you best TensorFlow, Theano, Caffe2, Pytorch, Keras, Scikit-learn and many more.
Optimize costs and performance, with maximum computational power, on demand at your fingertips with Auxilio AI‘s GPU-compute instances.
3D Modeling, Video Editing and Rendering
Our GPU-compute instances can be accessed provide virtual desktop environments or remote desktop.
Our GPU remote desktop solutions are equipped with powerful graphic processors – NVIDIA QUADRO RTX 6000 with 24GB of video memory.
HPC powered by GPU compute Instances
Use Auxilio AI GPU instances for general purpose GPU compute workloads in an instance. Whether you use OpenCL or CUDA, our Q-instances are ideally suited for high performance databases, computational finance, molecular modeling, seismic analysis, protein folding, genomics research and other server-side workloads requiring massive parallel floating point processing power.
Our instances are equipped with local high-performance SSD storage attached included.