
The Age of Advanced AI Training Has Arrived
Multi-processor Technology
Harness the power of advanced heterogenous computing to achieve superior AI training performance with our pioneering multi-processor architecture. Seamlessly scale and innovate while reducing power consumption and improving speed.

The Age of Advanced AI Training Has Arrived
Multi-processor Technology
Harness the power of advanced heterogenous computing to achieve superior AI training performance with our pioneering multi-processor architecture. Seamlessly scale and innovate while reducing power consumption and improving speed.

The Age of Advanced AI Training Has Arrived
Multi-processor Technology
Harness the power of advanced heterogenous computing to achieve superior AI training performance with our pioneering multi-processor architecture. Seamlessly scale and innovate while reducing power consumption and improving speed.
The Widespread Problems
Limitations Restricting the Growth of AI
Limitations Restricting the Growth of AI
The Widespread Problems
Limitations Restricting the Growth of AI
Energy
Energy consumption
Today’s high performance compute products demand massive amounts of power — straining already fragile grid systems.
Water consumption
Many data centers are shifting to water-cooling systems, creating additional burdens on local communities.
Compute
GPUs
GPU-only architectures are no longer relevant. Multi-processor, heterogenous system vastly outperform.
One-size-fits-all systems are wildly inefficient and dramatically limit AI training innovations.
Infrastructure
Power Grid
The current status quo setup cannot sustain data center requirements to keep with the scale and growth of the overall industry.
Physical Structure
The current state of the art often needs a complete rework for liquid cooling requirements.
Complexity
Multi-processor software is highly complex to develop.
Few organizations have the subject-matter expertise to build at scale.Competition
No single company manufactures all the required processors.
Large processor manufacturers are unlikely to design a board that includes competitor chipsets
Energy
Energy consumption
Today’s high performance compute products demand massive amounts of power — straining already fragile grid systems.
Water consumption
Many data centers are shifting to water-cooling systems, creating additional burdens on local communities.
Compute
GPUs
GPU-only architectures are no longer relevant. Multi-processor, heterogenous system vastly outperform.
One-size-fits-all systems are wildly inefficient and dramatically limit AI training innovations.
Infrastructure
Power Grid
The current status quo setup cannot sustain data center requirements to keep with the scale and growth of the overall industry.
Physical Structure
The current state of the art often needs a complete rework for liquid cooling requirements.
Complexity
Multi-processor software is highly complex to develop.
Few organizations have the subject-matter expertise to build at scale.Competition
No single company manufactures all the required processors.
Large processor manufacturers are unlikely to design a board that includes competitor chipsets
Energy
Energy consumption
Today’s high performance compute products demand massive amounts of power — straining already fragile grid systems.
Water consumption
Many data centers are shifting to water-cooling systems, creating additional burdens on local communities.
Compute
GPUs
GPU-only architectures are no longer relevant. Multi-processor, heterogenous system vastly outperform.
One-size-fits-all systems are wildly inefficient and dramatically limit AI training innovations.
Infrastructure
Power Grid
The current status quo setup cannot sustain data center requirements to keep with the scale and growth of the overall industry.
Physical Structure
The current state of the art often needs a complete rework for liquid cooling requirements.
Complexity
Multi-processor software is highly complex to develop.
Few organizations have the subject-matter expertise to build at scale.Competition
No single company manufactures all the required processors.
Large processor manufacturers are unlikely to design a board that includes competitor chipsets
Overcome these limitations and unlock the full potential of AI with our innovative multi-processor approach. Discover how I/ONX can help you achieve unprecedented efficiency and scalability.
Overcome these limitations and unlock the full potential of AI with our innovative multi-processor approach. Discover how I/ONX can help you achieve unprecedented efficiency and scalability.

Our Solution to Breaking Through the Barriers of AI Growth
Redefining AI Compute with Multi-Processor Technology
Redefining AI Compute with Multi-Processor Technology
At I/ONX, we understand the limitations facing today's AI infrastructure — whether it's soaring energy consumption, compute inefficiencies, or outdated data center architectures. Our groundbreaking multi-processor technology is designed to overcome these challenges, delivering a next-generation solution that redefines high-performance computing.
Optimized Energy Efficiency
Our multi-processor architecture leverages a combination of CPUs, GPUs, RISC-V processors, and FPGAs to create a balanced compute environment that drastically reduces energy consumption. By intelligently allocating workloads across different types of processors, we minimize power usage and heat output, slashing operational costs and reducing your carbon footprint — all without compromising on performance.
Flexibility and Scalability
Unlike traditional one-size-fits-all compute solutions, our approach integrates diverse processor types, each optimized for different tasks. This not only enhances processing speed and efficiency, but also allows for unparalleled scalability. As your AI training workloads grow, our platform scales effortlessly, ensuring consistent performance without the need for costly hardware upgrades or disruptive overhauls.
Future-Ready Infrastructure
Our modular design is built with the future in mind. With I/ONX, your infrastructure is ready to incorporate next-generation technologies — including quantum computing — as they become commercially viable. This future-proofing means you can continuously integrate cutting-edge advancements without the headaches of transitioning or redeploying existing workloads.
Seamless Integration
Our rack-scale supercomputer design fits seamlessly into existing data centers, eliminating the need for expensive, large-scale infrastructure changes. Our system supports liquid cooling and advanced power management, ensuring that your data center is not only sustainable but also capable of handling the most demanding AI workloads.
Reduced Costs and Complexity
By combining various processor types into a single cohesive system, we reduce the inefficiencies and costs associated with managing multiple hardware architectures. This integrated approach minimizes complexity, streamlines operations, and lowers total cost of ownership, allowing you to focus on innovation rather than infrastructure.
Ready to elevate your AI capabilities?
Ready to elevate your AI capabilities?
We invite you to join us as we continue to push the limits of what’s possible in AI. Together, we can build a future where high-performance computing is not only faster and more efficient but also more sustainable and accessible.

Our Solution to Breaking Through the Barriers of AI Growth
Redefining AI Compute with Multi-Processor Technology
At I/ONX, we understand the limitations facing today's AI infrastructure — whether it's soaring energy consumption, compute inefficiencies, or outdated data center architectures. Our groundbreaking multi-processor technology is designed to overcome these challenges, delivering a next-generation solution that redefines high-performance computing.
Optimized Energy Efficiency
Our multi-processor architecture leverages a combination of CPUs, GPUs, RISC-V processors, and FPGAs to create a balanced compute environment that drastically reduces energy consumption. By intelligently allocating workloads across different types of processors, we minimize power usage and heat output, slashing operational costs and reducing your carbon footprint — all without compromising on performance.
Flexibility and Scalability
Unlike traditional one-size-fits-all compute solutions, our approach integrates diverse processor types, each optimized for different tasks. This not only enhances processing speed and efficiency, but also allows for unparalleled scalability. As your AI training workloads grow, our platform scales effortlessly, ensuring consistent performance without the need for costly hardware upgrades or disruptive overhauls.
Future-Ready Infrastructure
Our modular design is built with the future in mind. With I/ONX, your infrastructure is ready to incorporate next-generation technologies — including quantum computing — as they become commercially viable. This future-proofing means you can continuously integrate cutting-edge advancements without the headaches of transitioning or redeploying existing workloads.
Seamless Integration
Our rack-scale supercomputer design fits seamlessly into existing data centers, eliminating the need for expensive, large-scale infrastructure changes. Our system supports liquid cooling and advanced power management, ensuring that your data center is not only sustainable but also capable of handling the most demanding AI workloads.
Reduced Costs and Complexity
By combining various processor types into a single cohesive system, we reduce the inefficiencies and costs associated with managing multiple hardware architectures. This integrated approach minimizes complexity, streamlines operations, and lowers total cost of ownership, allowing you to focus on innovation rather than infrastructure.
Ready to elevate your AI capabilities?
We invite you to join us as we continue to push the limits of what’s possible in AI. Together, we can build a future where high-performance computing is not only faster and more efficient but also more sustainable and accessible.

Elite Team of Innovators, Engineers, and Data Scientists
Pioneers in Sustainable
AI Solutions
Who We Are
At I/ONX, we are a small, elite team of innovators, engineers, and data scientists with a bold vision: to revolutionize high-performance computing for AI training. Our team members bring extensive experience from some of the world’s most advanced technology organizations, including SpaceX, Palantir, NASA, and Raytheon Technologies. This diverse expertise fuels our drive to push boundaries and deliver groundbreaking solutions in AI infrastructure.
Our Mission
Our mission is simple yet profound: to empower enterprises to seamlessly integrate and scale their AI workloads across diverse processors, maximizing efficiency and adaptability while minimizing energy consumption and operational costs. We believe that sustainable, high-performance computing is not just a possibility but a necessity in the rapidly evolving digital landscape.

2020-2022
We began with FPGA development, laying the groundwork for our innovative multi-processor architecture.

2023
Engineered a custom carrier board design to test scalability, pushing the boundaries of AI training solutions.

2024
Developed our first- and second-generation multi-processor designs, integrating CPU, GPU, RISC-V, and FPGA to deliver a seamless, multi-processor environment. Pioneering rack-scale heterogeneous systems to empower data centers with unparalleled performance and sustainability.

2025
Deploying our 4th Gen, rack-scale system to early-adopters. Scaling up our team and manufacturing. Focus on software development for rapid integration of existing AI training workloads.
Join us. Get in touch.
We invite you to join us as we continue to push the limits of what’s possible in AI. Together, we can build a future where high-performance computing is not only faster and more efficient but also more sustainable and accessible.

Elite Team of Innovators, Engineers, and Data Scientists
Pioneers in Sustainable
AI Solutions
Who We Are
At I/ONX, we are a small, elite team of innovators, engineers, and data scientists with a bold vision: to revolutionize high-performance computing for AI training. Our team members bring extensive experience from some of the world’s most advanced technology organizations, including SpaceX, Palantir, NASA, and Raytheon Technologies. This diverse expertise fuels our drive to push boundaries and deliver groundbreaking solutions in AI infrastructure.
Our Mission
Our mission is simple yet profound: to empower enterprises to seamlessly integrate and scale their AI workloads across diverse processors, maximizing efficiency and adaptability while minimizing energy consumption and operational costs. We believe that sustainable, high-performance computing is not just a possibility but a necessity in the rapidly evolving digital landscape.

2020-2022
We began with FPGA development, laying the groundwork for our innovative multi-processor architecture.

2023
Engineered a custom carrier board design to test scalability, pushing the boundaries of AI training solutions.

2024
Developed our first- and second-generation multi-processor designs, integrating CPU, GPU, RISC-V, and FPGA to deliver a seamless, multi-processor environment. Pioneering rack-scale heterogeneous systems to empower data centers with unparalleled performance and sustainability.

2025
Deploying our 4th Gen, rack-scale system to early-adopters. Scaling up our team and manufacturing. Focus on software development for rapid integration of existing AI training workloads.
Join us. Get in touch.
We invite you to join us as we continue to push the limits of what’s possible in AI. Together, we can build a future where high-performance computing is not only faster and more efficient but also more sustainable and accessible.

Elite Team of Innovators, Engineers, and Data Scientists
Pioneers in Sustainable
AI Solutions
Who We Are
At I/ONX, we are a small, elite team of innovators, engineers, and data scientists with a bold vision: to revolutionize high-performance computing for AI training. Our team members bring extensive experience from some of the world’s most advanced technology organizations, including SpaceX, Palantir, NASA, and Raytheon Technologies. This diverse expertise fuels our drive to push boundaries and deliver groundbreaking solutions in AI infrastructure.
Our Mission
Our mission is simple yet profound: to empower enterprises to seamlessly integrate and scale their AI workloads across diverse processors, maximizing efficiency and adaptability while minimizing energy consumption and operational costs. We believe that sustainable, high-performance computing is not just a possibility but a necessity in the rapidly evolving digital landscape.

2020-2022
We began with FPGA development, laying the groundwork for our innovative multi-processor architecture.

2023
Engineered a custom carrier board design to test scalability, pushing the boundaries of AI training solutions.

2024
Developed our first- and second-generation multi-processor designs, integrating CPU, GPU, RISC-V, and FPGA to deliver a seamless, multi-processor environment. Pioneering rack-scale heterogeneous systems to empower data centers with unparalleled performance and sustainability.

2025
Deploying our 4th Gen, rack-scale system to early-adopters. Scaling up our team and manufacturing. Focus on software development for rapid integration of existing AI training workloads.
Join us. Get in touch.
We invite you to join us as we continue to push the limits of what’s possible in AI. Together, we can build a future where high-performance computing is not only faster and more efficient but also more sustainable and accessible.
I/ONX HPC - © 2025 - All Rights Reserved
I/ONX HPC - © 2025 - All Rights Reserved