News | News
Universal Storage for AI
18 Dec 2020
On-demand webinar about VAST Lightspeed, the next generation AI storage philosophy that defines storage for the next decade.
XENON eXtreme Low Latency HFT Servers – Third Generation Now Available
07 Dec 2020
XENON is proud to announce the third generation of overclocked XENON eXtreme HFT servers are now available! Engineered and built […]
XENON Partners with Carbon Neutral
19 Nov 2020
XENON partners with Carbon Neutral to offset our carbon emissions as we continue to work to be a more sustainable organisation.
Exclusive NVIDIA Education Discounts Now Available
10 Nov 2020
NVIDIA and XENON offer discounts for education use on a range of products. Quantities are limited and may change. Contact us for latest offers.
VAST Lightspeed – Storage for the AI Decade
17 Oct 2020
VAST Lightspeed storage with GPU Direct delivers the speed AI requires with the simplicity of NAS and the cost profile of archive storage.
NVIDIA GTC Product News – New RTX A6000 and A40 GPUs
14 Oct 2020
NVIDIA’s new Ampere Architecture GPUs – the Quadro RTX A6000 and A40 – deliver more power and agility for the new wave of agile AI compute.
COVID Stage 4 Update to New Normal
04 Aug 2020
With COVID Stage 4 restrictions in Melbourne, the XENON team continues to operate as an essential business. Production is still running at full capacity; sales and support working remotely to support customers across Australia and internationally.
Realise The Potential of All Your Research Data
13 Jul 2020
VAST Data provides all-flash storage at scale, allowing life sciences to make use of all their data and accelerate time to insight.
VAST Data – Universal All-Flash Storage Arrives in Australia
01 Jul 2020
VAST Data Storage solutions are now available in ANZ from XENON. All flash performance at the cost of commodity, archive disk. Learn how VAST is revolutionising enterprise storage.
XENON – Intel® Webinar – View Now
27 May 2020
XENON – Intel® Joint Webinar – View Now Optane Persistent Memory can deliver systems which process larger datasets, at significant […]