NVIDIA RAPIDS Brings GPU Acceleration to Data Analytics

NVIDIA RAPIDS Brings GPU Acceleration to Data Analytics

13 Nov, 2018

The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python..

Storage Technologies for Today and Tomorrow

Storage Technologies for Today and Tomorrow

24 Oct, 2018

Click on the thumbnail to view the PDF. XENON CTO, Dr. Werner Scholz, presented at the Storage and Filesystems Workshop in Melbourne. His topic “Storage Technologies for Today and Tomorrow” was very well received and now you can view it online. This presentation includes: XENON Overview Storage..

XENON is now offering WekaIO solutions

XENON is now offering WekaIO solutions

23 Oct, 2018

XENON is now offering WekaIO solutions. WekaIO is the world’s fastest parallel file system with the most flexible deployment options—on-premises, cloud, or cloud bursting. WekaIO Matrix software is ideally suited for latency-sensitive business applications at scale such as AI, machine learning, life..

Save $29,000 on the NVIDIA DGX Station!

Save $29,000 on the NVIDIA DGX Station!

05 Oct, 2018

For a limited time only, save $29,000 on the NVIDIA® DGX Station™ ! The computing power that is being demanded by modern AI and deep learning is driving the higher need for supercomputing workstations. NVIDIA DGX Station, world’s first personal AI supercomputer, combines four of the world’s..

Visit XENON at eResearch 2018

Visit XENON at eResearch 2018

04 Oct, 2018

This year XENON  will be exhibiting at eResearch 2018. We will be showcasing our solutions for: GPU Computing High-Performance Storage Solutions HPC Clustering Deep Learning Predictive Analytics AI Consulting Please visit our stand, number 25. We are co-exhibiting with Western Digital. You can register..

Fundamentals of Deep Learning for Computer Vision

Fundamentals of Deep Learning for Computer Vision

04 Oct, 2018

This workshop teaches you to apply deep learning techniques to a wide range of computer vision tasks through a series of hands-on exercises. You will get to work with widely-used deep learning tools, frameworks, and workflows by performing neural network training and deployment on a fully-configured GPU..

New Quadro RTX Professional GPUs

New Quadro RTX Professional GPUs

07 Sep, 2018

NVIDIA’s new Quadro RTX family, the Quadro RTX 8000, RTX 6000, and RTX 5000 are NVIDIA’s fastest workstation cards yet, and are set to arrive at XENON in the fourth quarter of this year. Quadro RTX GPUs are designed for the most demanding visual computing workloads, such as those used in film and..

New DEVCUBE G2: Ideal for Deep Learning at your Desktop

New DEVCUBE G2: Ideal for Deep Learning at your Desktop

28 Aug, 2018

To meet the challenges of Deep Learning research XENON has developed one of the world’s fastest deskside deep learning machines—the DEVCUBE G2 XENON’s new DEVCUBE G2 is ideal for deep learning, machine learning and AI at your desktop. GPUs are extremely efficient and particularly well suited to..

See XENON at the NVIDIA AI Conference Sydney

See XENON at the NVIDIA AI Conference Sydney

21 Aug, 2018

The NVIDIA AI Conference is the premier artificial intelligence and deep learning event, providing you with training, insights, and direct access to experts from NVIDIA and other leading organisations. Visit XENON to learn more about GPU accelerated hardware  platforms such as the XENON DEVCUBE G2 and..

Artificial Intelligence in the Cloud for Government Whitepaper

Artificial Intelligence in the Cloud for Government Whitepaper

14 Aug, 2018

Artificial intelligence (AI) has many and varied applications in the government sector, providing the potential to improve services for our citizens and reduce costs – sometimes to the extent that the previously unaffordable becomes a practical reality. In particular, developments in cloud computing..