Dicker Data partners with ResetData on new GPU as a Service offering to meet AI demand
It offers partners a full suite of AI compute and consulting services geared towards real-world solutions.
Dicker Data has joined forces with ResetData to deliver GPU as a Service (GPUaaS) solutions to partners across Australia and New Zealand. It comes as ResetData, which provides sovereign AI capabilities, recently joined Dicker Data’s AI Accelerate practice.
It builds on the recent collaboration, with Dicker Data distributing Nvidia and Dell infrastructure for ResetData’s flagship AI factory, AI-F1. The partnership provides locally hosted, high-performance AI compute with full data residency.
Amir Kalil, AI practice lead, Dicker Data, said the partnership has been designed around flexible options for partners.
“Whether that's pure consumption based pricing, subscription models or bundled service packages, we're building options that fit different partner business models and customer requirements,” Kalil said.
Dicker Data and ResetData are also working with software partners to develop turnkey AI solutions to enable partners to deliver differentiated services that meet business needs.
“This means partners won't just be selling raw GPU capacity. Instead, they'll have access to complete, packaged AI offerings that combine compute infrastructure with software and services, making it far easier to go to market with solutions that solve specific business problems,” Kalil told CRN Australia.
Helping partners seize the AI opportunities
Through its AI Accelerate program, Dicker Data wants to help partners recognise AI opportunities within their customer base, qualify prospects effectively and articulate the business value of GPU-powered AI solutions.
“Partners will gain deep understanding of the GPUaaS technology and capabilities, but equally important is the commercial and strategic enablement,” Kalil explained.
While many organisations are still in the experimentation and early pilot phase, already the strongest demand is exploring how AI agents can drive efficiency and unlock new innovations.
Kalil pointed to automating customer service interactions, accelerating data analysis workflows or enabling intelligent decision making systems as real-world use cases.
“What's particularly interesting is that many of these organisations want to start small and prove value before committing to large infrastructure investments,” he said.
By offering enterprise-grade GPU resources at a cost-effective price, Kalil believes it eases experimentation and provides a way to move from pilots to deployments as they prove viable applications.
“Partners are leveraging this flexibility to help customers move faster and more confidently in their AI adoption without the traditional capital barriers,” he noted.
Kalil emphasised that this partnership combines national enablement, white label capabilities and AI consulting with GPU compute, flexible commercial models and national enablement.
“The AI opportunity is real, and it's happening now. But for many partners, the challenge has been figuring out how to participate without massive capital investment or deep AI expertise. This partnership solves both problems,” he added.