Symphony
Single-node platforms that consolidate full AI clusters — up to 64 accelerators, unified DDR5 memory, and zero-hop latency for inference and fine-tuning at production scale.
A cluster's worthof compute,conducted into one node.
I/ONX eliminates the overhead of legacy cluster designs — delivering infrastructure purpose-built for inference and fine-tuning at scale.
30
kW
Legacy AI clusters waste power before they compute a thing.
Every traditional GPU node carries a heavy host: redundant CPUs, memory, networking, and cooling that exist only to feed the accelerators. Multiply that across a rack and the overhead — the Host Tax — burns as much as 30kW of wasted power per rack before a single token of useful work is produced.
I/ONX collapses the host. The overhead disappears — the accelerators keep computing.
Symphony SixtyFour
One node. Up to sixty-four accelerators. Zero host tax.
Symphony SixtyFour consolidates an entire multi-node cluster into a single, vendor-neutral node — collapsing the network hops, host overhead, and operational complexity that make legacy AI infrastructure expensive to run.
- Up to 64
- per single node
- CPU · GPU · ASIC · FPGA
- vendor-neutral, heterogeneous
- Up to 6TB
- DDR5, shared address space
- Zero-hop
- single-node, no network fabric
- Inference · Fine-tuning
- production-scale
- Up to 90%
- vs. traditional clusters
Change the architecture and the whole equation moves.
50%
Reduction in total cost of ownership
70%
Reduction in rack-scale deployment cost
75%
Lower power consumption vs. traditional clusters
90%
Reduction in CPU footprint
The efficiency is in the architecture — not the accelerator.
Vendor-neutral by design
Mix CPUs, GPUs, ASICs, and FPGAs in one node. Never be locked to a single accelerator roadmap or supply chain again.
Single-node, zero-hop
Collapsing the cluster into one node removes network fabric, host overhead, and the latency of every hop between them.
Unified memory
Up to 6TB of shared DDR5 gives every accelerator a common address space — no partitioning, no data-shuffling tax.
Sustainable at scale
Dramatically lower power and cooling means faster ROI and a smaller footprint for every production AI deployment.
Synth
Heterogeneous compute engineered for the edge — bringing I/ONX efficiency to deployments where power, space, and mobility are constrained.
The workloads that can't afford wasted watts.
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Eliminate waste.Unlock AI at scale.
By dramatically lowering power consumption, simplifying operations, and maximizing utilization, I/ONX enables enterprises to achieve production-scale AI with greater efficiency, faster ROI, and sustainable performance.
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.