MIOS stands for Machine Intelligence Operating System. It is a proposal for a ground-up redesign of the software layer that sits between machine intelligence systems and the hardware they run on.

Today's AI runs on top of operating systems — Windows, Linux, macOS — that were designed in the 1970s, 80s, and 90s for a completely different era of computing. MIOS proposes to replace that foundation with an OS built natively for how machine intelligence actually works: probabilistic, massively parallel, and memory-intensive.

The operating system is the layer of software that controls how hardware resources — processors, memory, storage — are allocated to the programs running on a machine. Every AI model, every large language model, every neural network running today has to go through that layer to access the hardware it needs.

When that layer is designed for sequential CPU tasks rather than neural network workloads, it creates unnecessary overhead: latency, wasted energy, and architectural constraints that cap what's possible. MIOS would remove those constraints at the foundation, rather than continuing to work around them one layer at a time.

The MIOS initiative uses the term Machine Intelligence (MI) rather than Artificial Intelligence (AI). The distinction is meaningful, not cosmetic.

"Artificial" implies simulation — a machine mimicking human thought. That framing leads engineers to measure capability against human benchmarks and build infrastructure suited to human-style sequential cognition. It also implies these systems are somehow fake or imitative, rather than executing a genuinely distinct form of computation.

Machine Intelligence describes what these systems actually do: native, probabilistic, massively parallel reasoning over data at scales and speeds no biological system can approach. Building infrastructure for MI means optimizing for those actual characteristics — not for a simulated version of human thought.

Not yet. MIOS is currently a proposal — a detailed technical and strategic blueprint for what should be built and how. The white paper lays out the architecture, the rationale, the consortium model, and a phased roadmap: a working Linux-based prototype and HAL specification within the first two to three years, and a realistic 6–10 year path to a production-ready Version 1.0, based on the historical pace of comparable infrastructure standards (see the independent assessment for why we revised this from an earlier, faster estimate).

The next step is forming the MIOS Open Standard Consortium — the group of technology companies, research universities, and government partners that would actually build it. If you want to help make MIOS real, get in touch.

Linux is an extraordinary engineering achievement, and most serious AI workloads do run on Linux today. But patching Linux for machine intelligence is like retrofitting a Victorian house for modern electrical standards: possible, expensive, and permanently limited by the original architecture.

The Linux kernel's core assumptions — CPU as master, peripherals as devices, memory managed in 4KB pages, scheduling based on time slices — are baked into its DNA. Changing them would effectively mean building a new kernel. MIOS proposes to make that investment deliberately and transparently, as an open standard, rather than accumulating more workarounds on top of aging foundations.

The companies spending the most on AI infrastructure — Google, Microsoft, Amazon — have already built extensive proprietary layers (TPU firmware, custom schedulers, specialized memory managers) to work around these limitations. MIOS proposes to standardize and open-source that work instead of duplicating it in every data center independently.

MIOS V1.0 targets data centers and supercomputing clusters — not developer laptops or existing consumer deployments. The goal of V1.0 is to validate that zero-middleware execution is achievable and to establish the open standard. Existing frameworks are not immediately displaced.

Longer term, the MIOS Programming Language — a second-phase initiative — would provide a native alternative to Python and C++ for MI development: probabilistic by design, compiling directly into the kernel without the translation overhead of current frameworks. But adoption would be organic, driven by performance advantages, not mandated.

Security is a first-class, multi-year part of the roadmap, not a late-stage checklist item. MIOS relies on a formally verifiable microkernel core in the seL4 lineage — but formal verification of a codebase this size is a genuinely large undertaking (seL4's own verification took 11.5 person-years for just 10,000 lines of code), so we scope it incrementally and carry it as a dedicated multi-year phase rather than a brief pre-launch audit. Because MIOS is a purpose-built OS with a far smaller attack surface than a general-purpose OS, the security architecture can still be designed from the start around the specific threat model of MI workloads — it just takes real time to verify properly.

One of the significant advantages of an OS-level approach is the ability to embed safety constraints, resource limits, and behavioral audit capabilities at the kernel level — rather than attempting to layer them on top after the fact. This is one of the reasons government and national security stakeholders have a strong interest in participating early.

Parts of it, yes — and we think it's important to say so plainly rather than pretend MIOS is operating in a vacuum. The Linux Foundation's UXL Foundation (with Arm, Google Cloud, Intel, Qualcomm, and Samsung already participating) is building an open, multi-vendor hardware abstraction layer called Level Zero that covers much of the same ground as MIOS's HAL. Rather than compete with it, MIOS's plan is to build on top of Level Zero and propose extensions upstream where we need something it doesn't yet cover.

NVIDIA is a separate story: it has little commercial incentive to support a standard designed to reduce CUDA lock-in, so we don't assume its participation. MIOS's initial hardware targets are AMD and Google TPU — vendors who benefit from breaking that lock-in — with NVIDIA support treated as a possible later outcome rather than a Year 1 dependency.

Separately, hyperscalers already run proprietary systems (Microsoft Singularity, Google Pathways, Alibaba's Aegaeon) that solve pieces of this problem internally. We read that as validation that the underlying problem is real and worth solving — and as the actual competitive bar MIOS needs to clear by being open, not a reason the problem is already solved for everyone.

Yes. We commissioned an independent technical stress test of the original proposal against academic systems research, hyperscaler infrastructure, and standards-consortium history, and we're publishing it in full — including the parts where it concluded we'd overreached (an earlier, faster timeline; an overstated claim about beating CUDA; an underscoped security-verification budget). The white paper linked throughout this site reflects those corrections. Read the full independent assessment.

For the same reason Google, Microsoft, and Apple collaborate on W3C web standards while competing fiercely in browsers — and for the same reason they all contribute to POSIX while competing in operating systems. When the infrastructure layer is shared and standardized, competition moves to the layers above it, where it creates more value for everyone.

Every major AI company currently employs engineers whose primary job is working around legacy OS limitations. That is redundant investment. A shared standard converts that cost center into a competitive accelerant: instead of each company independently solving the same infrastructure problem, they can all build faster on top of a common, well-maintained foundation.

No single entity would own MIOS. The proposal calls for an open standard governed by the MIOS Open Standard Consortium — a multi-stakeholder body modeled on how other foundational internet and computing standards are maintained. The standard would be open, the specification publicly available, and implementation permissible by any party.

The consortium's governance structure — working groups, voting rights, dispute resolution — is one of the first agenda items in the Months 1–3 formation phase.

Yes. The founding consortium members listed in the white paper are proposed anchor participants — large enough to provide the engineering and financial resources to build the initial standard. But the open-standard model means any company can implement MIOS, contribute to its development, and participate in governance.

Smaller companies, research groups, and individual researchers are particularly welcome to engage with the academic working groups. The specification process will be open to public comment, and independent implementations are a feature, not a complication.

No. MIOS is not seeking appropriations, regulatory action, or government contracts. The consortium model is designed to be privately funded by its members, with governance that keeps the standard independent of any single entity — including government.

What the MIOS initiative is asking of government is engagement and presence — to be part of a conversation about foundational infrastructure before the architecture is finalized. Policy questions around open standards, energy impact, workforce transition, and national security will need to be addressed regardless of whether government participates in forming MIOS. We believe it is better to address them together.

The entity that defines foundational computing infrastructure gains a durable strategic advantage. IBM's mainframe architecture, Microsoft's PC operating system, Google's mobile OS — each defined an era of value creation and strategic leverage.

The machine intelligence infrastructure layer is the next such opportunity. If the United States does not lead in defining the open standard, one of two outcomes becomes more likely: fragmentation into competing proprietary platforms (slowing the entire industry), or ceding the standard-setting role to other nations or actors who will not necessarily build it with US interests, values, or security requirements in mind.

MIOS represents a narrow but real strategic window. The proposal is to use it.