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.
Dual GPU Workstation
2x RTX 4080- Intel latest Processor (up to 16 cores)
- 64 GB RAM
- 2TB NVMe SSD
- 8/5 NBD Onsite Support
- 12 month contract
Quad GPU Workstation
4x RTX A6000- Intel Latest Processor
- 64 GB RAM
- 2TB NVMe SSD
- 8/5 NBD Onsite Support
- 12 month contract