High Performance Computing

High Performance Computing & AI/ML Solutions
Boost your Success

Supercharge your HPC, AI, ML and Data Science Applications with the Most Advanced hybrid architecture using virtualised GPU and Compute infrastructure.

Traditionally standalone clusters have been implemented for various application requirements such as MPI based HPC systems (Simulation & Modelling), Artificial Intelligence (TensorFlow, Caffe, Pytorch) and Analytics (Apache Spark, Hadoop).

On Demand Systems can help you create a converged platform to run simulation and modeling, artificial intelligence (AI), and analytics workloads in a single cluster infrastructure to support breakthrough innovation while increasing the value and utilization of resources.

Our Partners

Driving HPE technology with leading brands

Deep Learning Workstations and Servers

GPU-accelerated with TensorFlow, PyTorch, Keras, and more pre-installed. All systems are optimised, benchmarked and tuned to eliminate CPU, memory, and storage bottlenecks when running deep learning workloads.

2 x GPU Workstation

GPU workstation with two RTX 4080, RTX A5000, RTX A6000 GPUs.
Pre-installed with Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN, so you can boot up and start training immediately.

4 x GPU Workstation

Desktop computer for TensorFlow, Keras, and PyTorch. Up to four RTX 4080, RTX A5000, RTX A6000, GPUs.

8 x GPU Server

4U Rackmount Server for Deep Learning. NGC-Ready, Up to eight H100 80GB, RTX A6000, or L40, or L40S GPUs or up to 16 L4

Leasing Options

If you are developing AI/ML applications, ODS can offer various leasing or collaborative options. We can also work out special package for startups during various stages of development and launch.