Chat-GPT, Generative-AI takes AI Mainstream!

Generative AI, specifically Chat-GPT, has put the spotlight on “Large Language Models” (LLMs) and has exploded AI into the mainstream consciousness of business leaders and consumers everywhere.

At XENON, we have been helping companies with AI solutions for many years, and we can help you navigate the hype and deliver an AI solution with real world return-on-investment. Read some of the XENON AI Case Studies here.

Whatever your field, the XENON team has the expertise and tools to help you plot a faster way to results.

Take advantage of the XENON AI> jumpstart_ program to accelerate AI POCs. Full details here. 

Growing AI Practices = Growing IT Requirements

As individuals and small teams scale up and initial projects deliver positive impacts from AI implementations, a few things happen:

• AI proliferates through an organisation – this increases the number of AI models being developed and deployed.
• More models require more data for analysis and training. All the data needs to be easily and quickly accessible so there are no delays in AI training.
• The are increasing demands on the AI compute infrastructure as more projects compete for limited processing cycles.

These growing pains can often result in an exponential growth in demands on IT resources – data storage, network traffic and compute/GPU/processing cycles.

XENON has experience taking organisations on the journey from cloud POC, to workstations and small teams, to full clustered architectures with DGX systems, NVIDIA PODs and SuperPODs.

XENON assists companies to make these transitions and step jumps in capabilities with planned growth in resources, no fork-lift upgrades, and a deep understanding of the whole stack so that data storage, networking and compute resources are optimised.