I/ONX HPC Announces Heterogeneous Compute Platform for AI/ML

Tech Breakthrough Delivers Unprecedented Ability to Operate Multiple Chip Classes that Redefines Enterprise AI/ML Compute Infrastructure

I/ONX High Performance Compute today announced its emergence from stealth mode with the unveiling of the world’s first fully functional AI Heterogeneous Compute Platform, a groundbreaking milestone in AI that will redefine enterprise AI/ML compute infrastructure.

I/ONX’s customizable heterogeneous compute platform is capable of orchestrating any chipset—CPU, GPU, ASIC, and/or FPGA—within a rack-scale system. The platform can scale up AI/ML as business needs evolve.

"We believe the future of computing is not tied to a single processor architecture, but to flexibility and orchestration across all compute types," says Justyn Hornor, CEO of the company. "Our platform allows any enterprise to unify disparate chipsets under a single software-defined fabric—from AI training workloads to edge deployments—with our focus on extremely low-latency network and advanced software applications."

I/ONX worked with Slalom, a leading global business and technology consulting firm, to independently test the platform and determine key elements of the ecosystem profile and performance criteria. “Slalom has deep expertise and interest in innovating on the frontiers of cutting-edge AI/ML,” said Chris Samuels, director at Slalom. “We’re committed to exploring the growth of sustainable and responsible AI, so our customers can expand their horizons and explore new possibilities in the democratization of AI.”

The I/ONX platform supports standard Python-based workflows on GPUs while also offering Rust-based fused kernels for ultra-low-latency performance across multiple processor classes. Multiple large AI models were tested and exceeded state-of-the-art speeds, for example, Whisper V3 Large.

Key Highlights from the testing revealed:

• Verified operation across CPU, GPU, ASIC, and FPGA environments
• Scale-up architecture with flexible rack-level orchestration
• Seamless compatibility with Python-based data science and AI workflows
• Advanced Rust-based fused kernels for high-performance execution
• Greater than State-of-the-Art speeds on multiple complex models

Note: Further details available upon request.

Customer Use Cases:

• An AI lab team will be deploying custom FPGAs alongside enterprise GPUs and ASICs, leveraging I/ONX's unified orchestration.
• A research group will run advanced simulation models, where ASICs manage pre-processing and enterprise GPUs perform the heavy-lifting computations.

With this public reveal, I/ONX is inviting early customers, research labs, and hyperscalers to engage in pilot deployments and joint development opportunities via our waiting list at https://ionxhpc.com/symphony. The company’s technology enables customers to future-proof their infrastructure while achieving performance levels previously restricted to proprietary, closed-box systems.

Forward-Looking Statements:

This press release contains "forward-looking statements" within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements can be identified by words such as "anticipate," "intend," "plan," "seek," "believe," "estimate," "expect," "strategy," "likely," "may," "should" and similar references to future events or periods.

Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Our actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements.

Any forward-looking statement made by us in this press release is based only on information currently available to us and speaks only as of the date on which it is made. We undertake no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

For media inquiries or to request a copy of the testing report, please contact pr@i-onx.com.

About I/ONX High Performance Compute: I/ONX High Performance Compute is a division of Cloud Computing Solutions Group, Inc., specializing in the development of software-defined platforms that enable cross-architecture orchestration of heterogeneous compute environments. With a headquarters in Las Vegas, Nevada, I/ONX serves enterprise customers across AI, scientific computing, finance, and edge sectors.

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The future of computing is not tied to a single processor architecture, but to flexibility and orchestration across all compute types.