Reading List  ·  Defense Technology

Resources &
Further Reading

Strategic analyses, defense research, and Fractal technical documentation on edge computing, autonomous systems, JADC2, and the architecture of decision-making at the point of conflict.

Essential Reading

The Case for
Edge-Dominant Architecture

Strategic analyses from leading defense research institutions on software as a warfighting advantage, the failure modes of centralized C2, and the imperative to move intelligence to the point of conflict.

Hudson Institute Bryan Clark  ·  Center for Defense Concepts and Technology
Software Is the Navy's New Warfighting Advantage
Bryan Clark argues that the Navy's decisive next warfighting edge will not come from new hulls or weapons systems — it will come from software. Clark makes the case that adversaries are closing hardware gaps rapidly, making software architecture — specifically the ability to process sensor data, fuse intelligence, and make decisions faster than the adversary — the defining variable in naval competition. This analysis applies directly to the broader principle underpinning Fractal Computing's defense architecture: the force that moves from sensor-to-decision faster wins, and that speed is an architecture problem, not a hardware problem.
hudson.org  ·  Center for Defense Concepts and Technology
Strategic Context

Centralization,
Latency & Survivability

The problems that Fractal solves are well-documented across the defense research community. These sources provide essential context for the strategic and operational case for edge-distributed command and autonomous systems.

RAND Corporation
Joint All-Domain Command & Control
RAND's comprehensive research on JADC2 examines the architectural requirements for linking sensors to shooters across all domains faster than adversaries can respond — and the structural reasons why hub-and-spoke architectures fail this test in contested environments. A foundational reference for the decentralized C2 argument.
rand.org  ·  Defense & National Security
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Congressional Research Service
Autonomous Weapon Systems: Background & Issues for Congress
CRS provides Congress with objective, non-partisan analysis on autonomous weapons policy, technology readiness, and legal frameworks. Their recurring reports on unmanned and autonomous systems cover the operational requirements, acquisition challenges, and policy implications that drive the need for edge-autonomous architectures.
crsreports.congress.gov  ·  Defense & Security Reports
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War on the Rocks
Edge AI, Autonomous Systems & the Future of C2
War on the Rocks publishes practitioner-level analysis on the operational implications of autonomous systems, electronic warfare, and the latency problem in contested C2. Their coverage of OODA loop competition, drone swarm tactics, and the limits of centralized command structures forms essential reading for anyone evaluating edge-computing architectures for defense applications.
warontherocks.com  ·  Essays & Analysis
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The convergent conclusion across all of these sources: the side that can process sensor data, fuse intelligence, and authorize action faster than the adversary wins — and that speed is fundamentally an architecture problem, not a hardware problem or a budget problem.

Domain Context

Drone Swarms,
EW & Contested Environments

The operational conditions that make centralized architectures unacceptable — GPS denial, datalink jamming, communications blackout — are thoroughly documented in these research and analysis sources.

Department of Defense
JADC2 Strategy & Implementation
The DoD's official JADC2 spotlight documents the strategic requirement to connect sensors to shooters across all domains — air, land, sea, space, and cyber — faster than adversaries can respond. The architectural challenge described here — scale, survivability, and sub-second decision support at every node — is precisely what Fractal Mesh Computing is designed to solve.
defense.gov  ·  JADC2 Spotlight
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DARPA
CODE: Collaborative Operations in Denied Environments
DARPA's Collaborative Operations in Denied Environment (CODE) program addresses the same core problem Fractal solves: enabling unmanned aircraft to work together with minimal human interaction in contested, communications- denied environments. CODE demonstrates that peer-to-peer autonomous coordination — not ground-station-dependent control — is the viable architecture for contested airspace.
darpa.mil  ·  Tactical Technology Office
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Every major defense research program addressing autonomous systems in contested environments arrives at the same architectural requirement: onboard decision-making capability that does not depend on a communications link to a remote system. Fractal Computing provides the software substrate that makes this architecturally tractable on commodity edge hardware.

Technical Documentation

Fractal Technical
References

Fractal Computing's full technical brief library. Each document covers the architecture, performance data, and operational applications for a specific capability area — with measured production results and deployment frameworks.

Core Platform
Fractal Computing Technical Brief
The foundational brief covering the full Fractal software stack: the Fractal instance model, Locality Optimization™, the peer-to-peer mesh architecture, and the Digital Twin design that physically separates AI operations from source systems. Includes production performance data from Fortune 500 deployments — 100× to 1,000,000× AI performance gains, 90% infrastructure cost reduction — and the deployment framework applicable to defense edge platforms.
Fractal Instance Locality Optimization™ P2P Mesh Digital Twin Performance Data
Fractal Computing  ·  March 2026 ↗
AI & Inference
Fractal AI Technical Brief
Deep-dive on Fractal's edge AI architecture: how Locality Optimization™ eliminates network I/O from the inference hot path, achieving under-10ms sensor-to-decision latency. Covers the Digital Twin Architecture that makes AI operations safe by design, multi-model sensor data handling, and the co-location of AI logic with the data it operates on. Directly applicable to onboard target recognition, sensor fusion, and ROE enforcement on autonomous platforms.
Edge Inference <10ms Latency Sensor Fusion AI Safety Multi-Model DB
Fractal Computing  ·  March 2026 ↗
Autonomous Systems
Fractal Drone Technical Brief
Architectural blueprint for drone swarms and autonomous systems operating in GPS-denied, EW-contested, and communications-disrupted environments. Covers the complete Fractal drone stack — mission pre-loading, onboard AI inference, inter-drone P2P mesh, partition-based AOR assignment, and mission redistribution under attrition. Maps Fractal's enterprise architecture principles directly to the requirements of contested autonomous operations. Includes the pre-mission loading framework and swarm coordination protocols.
GCS-Independent Swarm Coordination Comms-Denied Ops Pre-Mission Load Attrition Tolerance
Fractal Computing  ·  March 2026 ↗
Battlefield Mesh & JADC2
Fractal Mesh Technical Brief
The definitive technical reference for Fractal Mesh as the architectural substrate for JADC2 and multi-domain operations. Covers the hub-and-spoke failure modes, the Fractal mesh topology that eliminates all single points of failure, kill chain compression (3–15 minutes to under 30 seconds), autonomous multi-domain vehicle coordination (UAV, UGV, USV, UUV, RCV), distributed ISR and EW, and the "write once, deploy across all five domains" software model.
Zero SPOF JADC2 Substrate Kill Chain 30s Multi-Domain 5-Domain Deploy
Fractal Computing  ·  March 2026 ↗
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