The evidence behind heterogeneous compute.
White papers, third-party validation reports, company news, and a technical glossary on heterogeneous compute, kernel fusion, and composable AI infrastructure — the depth behind the numbers.
Halve the Cost of AI Infrastructure
Halve the Cost of AI Infrastructure — One-Page Summary
I/ONX Shatters the Host Tax
The I/ONX HPC Platform (2026)
National Initiative for Quantum Innovation Ecosystems (NIQIE)
NIQIE — Executive Summary
Executive Report — 3rd-Party Verification
Technical Report — 3rd-Party Verification
I/ONX Shatters the Host Tax: New Symphony SixtyFour Architecture Delivers 50% TCO Savings
GenEye Labs, Furiosa AI, Compute Exchange and I/ONX Launch Integrated Enterprise AI Stack for Sovereign Deployment
GreenAI & I/ONX Strategic Partnership: AI Infrastructure Efficiency, Sustainability & Environmental Credits
I/ONX and University of Florida's SHREC Launch Collaboration
I/ONX Appoints Former IBM Executive Steven Eliuk as CEO
I/ONX Appoints Former NVIDIA Executive Paul Bommarito as Strategic Advisor
The language of composable AI infrastructure.
- Heterogeneous compute
- Running a workload across a mix of processor types — CPU, GPU, ASIC, FPGA — inside one system, matching each job to the right silicon.
- The Host Tax
- The redundant CPUs, memory, networking, and cooling a legacy GPU node carries only to feed its accelerators — as much as 30kW of wasted power per rack.
- Kernel fusion
- Combining multiple compute operations into a single kernel to cut memory traffic and latency, so accelerators spend more time computing.
- Composable AI infrastructure
- Infrastructure whose compute, memory, and accelerators can be assembled per workload rather than fixed in rigid nodes.
- Unified memory
- A shared address space — up to 6TB of DDR5 — that every accelerator in the node can reach without partitioning or data-shuffling overhead.
- Zero-hop latency
- Collapsing the cluster into a single node removes the network fabric, so data never traverses a hop between accelerators.
Conversations on AI acceleration.
Interviews, podcasts, and webinars on heterogeneous compute and where the industry is heading.
Ready to rethink your AI infrastructure?
Tell us about your inference and fine-tuning workloads. We'll show you what I/ONX efficiency looks like on your deployment.