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SOFWERX To Host Hardware Enabled AI Acceleration Event

Monday, November 17th, 2025

SOFWERX, in collaboration with USSOCOM J24 Intelligence Data Science Team (IDST), will host an Assessment Event (AE) 06-08 January 2026, to determine the best solution to upgrade a remote location with high-performance Graphics Processing Unit (GPU) servers to support large language model (LLM) workloads for up to 100+ concurrent users.

The U.S. Government’s data science portfolio is rapidly expanding its reliance on largescale AI workloads, especially LLMs and highspeed inference pipelines. To sustain this growth and to maintain a strategic edge, the program requires cutting-edge GPU acceleration, capable of delivering the throughput and memory bandwidth needed for state-of-the-art training, finetuning, and deployment. Advanced GPUs will provide a high-performance, energy efficient, and?future ready?foundation for advanced AI workloads, while ensuring low response times, reliability, and room for future growth.

The goal of this assessment is to acquire, deliver, and install/deploy advanced GPU hardware that will add a high bandwidth, energy efficient GPU capability that is immediately ready to power LLM inference, finetuning, and Retrieval-Augmented Generation (RAG) workloads.
The GPUs must be delivered as part of a complete, rack-mounted server solution suitable for immediate deployment in the data center at a remote site. The server must include all necessary hardware to operate the GPUs safely and efficiently, including redundant power supplies, appropriate power cables, connectors, and any transfer switches required to support high-availability operation.

High-speed Peripheral Component Interconnect express-based (PCIe-based) network connectivity must be included, with all necessary cables and interconnects to support GPU-to-GPU communication within the server and connectivity to the site’s broader network. This includes GPU bridges (NVLink or equivalent), network cables, and any peripheral connections required for remote management and monitoring. Storage and memory subsystems must be pre-installed and connected, providing sufficient RAM and Non-Volatile Memory express (NVMe) SSD storage to support large AI models and high-throughput workloads.

Servers must be pre-configured or delivered with the ability to quickly install necessary software, including firmware, drivers, and GPU libraries, so that the system can be operational for AI workloads immediately upon installation. All components, cabling, and connections must conform to enterprise data center standards and integrate seamlessly with the site’s existing power, cooling, and network infrastructure. Vendors must provide a turnkey solution that minimizes on-site assembly, configuration, and troubleshooting, ensuring the server is ready for immediate use with minimal IT intervention.

The solution must support deployment to two networks, within air-gapped or otherwise strictly isolated environments. The server(s) and all GPUs shall be physically and logically isolated from each other, and any non-approved networks (no dual-homed network connections).

Submit NLT 09 December 2025 11:59 PM ET

U.S. Citizens Only

To learn more, visit events.sofwerx.org/hardware-enabled-ai-acceleration.

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Veteran Entrepreneur Austin Holmes Leads Signal Raptor in Advancing Digital Trust and Innovation

Tuesday, November 11th, 2025

NASHVILLE, Tenn., (November, 2025) — As the country celebrates Veterans Day and National Entrepreneurship Month, U.S. Army veteran and entrepreneur Austin Holmes, founder of Signal Raptor, shines a light on how veterans are shaping the future of technology through mission-driven innovation. This is a purpose-driven tech company in the business of digital trust and secure communication, reflecting Holmes’s journey from combat to the C-suite, where integrity, accountability, and dependability remain the mission.

After years serving in the military, Holmes drew parallels between mission-critical communication in the field and the growing need for clarity and security in the digital environment. Signal Raptor was built on that foundation to ensure that people, businesses, and organizations can operate with confidence and transparency in the digital space.

“Veterans understand that trust is at the heart of every mission,” said Holmes. “That very same principle drives our work at Signal Raptor: building technology that’s dependable, disciplined, and focused on protecting what matters most.”

Signal Raptor is part of a growing wave of veteran-owned technology companies redefining the meaning of entrepreneurship. Holmes brings business and technology development through leadership qualities instilled in his military background: precision, adaptability, and service.

This veteran, father, and founder supports his fellow service members in transitioning from active duty back into civilian life and eventually into becoming entrepreneurs. This season, the outreach efforts of Signal Raptor are in line with that mission, including partnerships with veteran business networks in support of veteran innovation and digital literacy.

The following are highlights of the continued Signal Raptor mission:

Veteran-Led Innovation: Applying the lessons of strategy, teamwork, and resilience learned in military service to drive technological solutions.

Digital Trust Commitment: Building trust, reliability, safety, and privacy into all products surrounding communication.

Community Involvement: Partnerships with organizations that serve veterans to extend technology entrepreneurship resources even further.

This Veterans Day and throughout National Entrepreneurship Month, Holmes and Signal Raptor want to highlight the value that veterans bring to the entrepreneurial ecosystem. Indeed, because of their discipline and problem-solving approach, veteran founders are leading the charge in innovation, cybersecurity, and emerging technologies.

To Holmes, the vision for Signal Raptor goes beyond just building software; it is about building trust in an increasingly complex digital world. His story shows just how much the lessons learned in service can power meaningful innovation in civilian life. “Service doesn’t end when you leave the military-it evolves,” Holmes says. “To us, that means creating technology that serves people, protects them, and helps them connect more securely.”

Learn more at signalraptor.com.

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The Pros and Cons of Using AI in Military Divisions worldwide

Thursday, October 30th, 2025

As automated technology rapidly integrates into daily life, its impact on modern warfare is profound. Military divisions worldwide are deploying AI on the battlefield for defence, attack and reconnaissance. In a recent summit held in the Netherlands, 80 nations met to discuss the ethical and operational use of AI in military applications. More than 60 countries agreed to permit AI-driven combat strategies, recognising its potential to enhance decision-making and reduce human risk. Here, Taylor Eisenhauer, product manager at connector specialist PEI-Genesis explains the pros and cons of using AI in military operations.

The adoption of AI in defence is accelerating, with global military AI market projections expected to reach US$18.558 billion by 2029, up from US$4.956 billion in 2024, driven by advancements in machine learning, robotics, and autonomous systems. The deployment of AI-driven combat vehicles, drones, and robotic units is revolutionising modern warfare, reducing reliance on human personnel in high-risk environments.

However, certain issues remain regarding the advantages and concerns of employing AI on the battlefield. While AI offers enhanced strategic decision-making and operational efficiency, it also introduces significant ethical and security dilemmas.

Pros:

The use of AI in advanced military software and technologies can provide safety to soldiers, reduce human labour, and improve decision-making.

In terms of safety, humans can delegate dangerous tasks to non-human agents to protect themselves. For example, tactical ground robots can navigate terrains and handle explosives that can potentially harm personnel in combat. At the same time, robotic dogs can be utilised as an extra hand to carry or fetch necessary equipment. Using robots can save many human lives since these tasks can be performed without harming soldiers.

The United States believes that AI can reduce risks for soldiers by reducing human labour. War can put significant stress on the human body, and soldiers can become fatigued, impairing their ability to focus and perform effectively. This can lead to human error, harm mission success, and result in significant injuries or even defeat.

However, with AI, soldiers can utilise their time and energy better. For instance, rather than driving combat vehicles or flying aircraft, AI can take complete control and allow soldiers to focus their efforts elsewhere, such as analysing data and prepping for battle. This can significantly reduce the risk of injury and increase the chances of mission success.

Improved decision-making is another benefit of using AI. More accurate data analysis can help better target opponents. With automated technology, we can make smarter and safer decisions in combat with little to no mistakes. Drones and AI are utilised to identify and communicate risks or threats that may occur. They can more accurately determine objects in the distance, providing an advantage in preparing for an attack.

Cons:

On the other hand, some see AI as a setback or disadvantage due to the potential risks and dangers that can arise when trusting technology.

Security threats are a major concern with AI. There is a potential for AI to be hacked or manipulated by adversaries. If these systems are compromised, sensitive information can be stolen and exploited to the opposing team’s advantage.

The use of automated technology and AI, particularly in military robots, is a topic that sparks ethical concerns. With robots capable of performing tasks more efficiently and precisely than humans, there is a potential for one side to have an unfair advantage, leading to the replacement of human soldiers with machines. The result of this could be a future where wars are fought between robots, raising ethical questions about the morality of warfare.

Another issue arising from the use of AI is its unpredictability. If something goes wrong, it can be difficult to determine who is responsible. This concern becomes more significant as AI technologies become more advanced, with the potential to carry out tasks autonomously. If AI were to malfunction, innocent civilians could be harmed, and it is unclear who would be held accountable. Furthermore, granting machines a mind of their own may lead to unforeseen consequences; therefore, we must approach the development and deployment of these technologies with caution.

Prepare for the future of modern warfare

The debate about allowing AI to be used in modern warfare is endless. However, the reality is that AI is being implemented in military technologies worldwide, and nations must be equipped to protect and defend themselves.

To prepare for modern warfare, durable and reliable electrical connectors are needed to support these advanced technologies in harsh environments—PEI-Genesis partners with industry-leading suppliers to provide a broad inventory of products suitable for these demands.

For example, the Amphenol 2M Series of lightweight, micro-miniature circular connectors maximise SWaP (size, weight, and power) and meet D38999 specifications for vibration and shielding but weigh less than standard D38999 connectors. Whether this product is for a soldier’s headset, tactical or handheld equipment, airframes, or avionics boxes, the Amphenol 2M Series has application flexibility with multiple coupling types available to fit different electrical and mechanical requirements.

To find out more about the wide range of connectors for military operations offered by PEI-Genesis, visit www.peigenesis.com.

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Air Force Experiments with AI, Boosts Battle Management Speed, Accuracy

Saturday, October 11th, 2025

LAS VEGAS (AFNS) —

The Air Force wrapped up the second Decision Advantage Sprint for Human-Machine Teaming, known as DASH 2, a fast-paced experiment exploring how artificial intelligence can help operators make faster, smarter decisions in complex battlespaces.

DASH 2 took place at the Shadow Operations Center-Nellis’ unclassified location in downtown Las Vegas and was led by the Advanced Battle Management System Cross-Functional Team.The effort was conducted in partnership with the Air Force Research Lab’s 711th Human Performance Wing, the Integrated Capabilities Command and the 805th Combat Training Squadron, also known as the ShOC-N.

“DASH 2 proved human-machine teaming is no longer theoretical,” said Col. Jonathan Zall, ABMS Capability Integration chief. “By fusing operator judgment with AI speed, the Air Force is shaping the future of decision advantage in joint and coalition operations.”

AI Speeds Decision Advantage

Initial results showed that machines produced recommendations in less than ten seconds and generated 30 times more options than human-only teams. Two vendors each produced more than 6,000 solutions for roughly 20 problems in just one hour. The software’s accuracy was on par with human performance, despite only two weeks of development. In one case, a single algorithm adjustment would have raised recommendation validity from 70 percent to more than 90 percent.

“This level of output gives commanders options to execute multiple kill chains simultaneously and we’re excited about our next experiment to generate the courses of action with the machines to help illuminate risk, opportunity gain/loss, material gain/loss, among others,” said Col. John Ohlund, ABMS CFT director.

Inside DASH 2

The DASH series is part of the Air Force’s campaign to modernize command and control and gain decision advantage through human-machine teaming. Each sprint refines a specific decision function and informs future Department of the Air Force C2 development. The series also supports the Pentagon’s Combined Joint All-Domain Command and Control initiative.

“Human-machine teaming is critical to accelerating the speed and quality of decisions across the joint force, and DASH 2 provides the insights we need to make that a reality,” Zall said.

Human-Machine Teaming in Action

Seven teams participated in DASH 2, including six industry teams and one ShOC-N innovation team. Their challenge was to design AI-enabled microservices capable of assisting operators with the “match effectors” function, which determines the best available weapon system to destroy an identified target.

Developers observed battle management crews operating without machine assistance, then iteratively designed and tested tools to augment human decision-making. Final demonstrations compared human-only performance against human-machine performance, measuring speed, quantity and quality.

“Being part of DASH 2 showed us how human-machine teaming can enhance performance without losing operator judgment,” said Capt. Steven Mohan III, 726th Air Control Squadron chief of standards and evaluations.

Industry and Air Force Collaboration

Evaluation focused on whether these tools helped operators make more effective decisions, not just process more data.

DASH 2 also reaffirmed the value of co-development with both industry and Air Force developers. Companies retained intellectual property rights while the Air Force gained insight into integration and functional requirements for future C2 software.

“At the ShOC-N, our mission is to put new capabilities into operators’ hands and test them under conditions that resemble real-world battle management,” said Lt. Col. Shawn Finney, 805th CTS/ShOC-N commander. “DASH 2 demonstrated how the battle lab enables rigorous testing while maintaining operational fidelity, bridging the gap between concept and capability.”

Early Results and Lessons Learned

The 711th HPW collected data on operator performance, workload and teaming dynamics. Findings confirmed that AI can accelerate decision-making while keeping humans at the center of the process.

“Collaboration with AFRL, the ABMS program office and industry allowed us to rapidly experiment, refine requirements and accelerate the path from concept to capability delivery,” Ohlund said.

Shaping the Future of C2

The DASH series is a key step in modernizing Air Force command and control. By combining human judgment with AI, the service is preparing operators to make faster, more informed decisions in future contested environments.

“DASH 2 proved human-machine teaming is no longer theoretical,” Zall said. “By fusing operator judgment with AI speed, the Air Force is shaping the future of decision advantage in joint and coalition operations.”

By Deb Henley, 505th Command and Control Wing Public Affairs

805th Combat Training Squadron, also known as the Shadow Operations Center-Nellis

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SOFWERX – Computer Vision (CV) Inference Engine and Model Training for Unmanned Systems (UMS) Assessment Event (AE)

Monday, September 29th, 2025

SOFWERX, in collaboration with the USSOCOM PEO-SOF Digital Applications (SDA) Unmanned Systems Autonomy and Interoperability (UxSAI) Program, will host an Assessment Event (AE) to identify technology providers capable of delivering cutting-edge computer vision capabilities for detection and classification for all USSOCOM unmanned systems. This event aims to evaluate whitepaper responses and down-select innovative solutions for a computer vision inference engine and model training solution that can autonomously detect, classify, and adapt to new targets and environments ultimately enhancing the operational effectiveness of UxS in resource-constrained and communication-denied environments to align with the goals and objectives of the UxSAI Program.

Computer vision rarely performs as intended and results in missed detections or improperly classified objects. Challenges exist with obtaining training data, utilizing the models on constrained resources, and deploying models over the air. UxSAI requests computer vision developers to improve our artificial intelligence and machine learning capabilities and develop highly effective computer vision inference engines and pretrained models as part of an Enterprise machine learning operations (MLOPS) pipeline. Providers selected for participation will receive additional information and funding to prepare for the AE upon selection. The UxSAI Program intends to evaluate solutions through their Enterprise MLOPS pipeline as part of this event.

The UxSAI Program seeks a computer vision inference engine and model retraining solution that:

Demonstrates robust object detection and classification capabilities.
Optimizes Size, Weight, Power, and Cost (SWaP-C) for deployment on a variety of UxS platforms.
Enables training and adaptation to new objects and environments.
Offers a modular architecture suitable for seamless integration with existing architectures.
Enhances the autonomous capabilities of unmanned systems operating in challenging environments.
Informs the necessary interfaces, protocols, and data formats for integration, contributing to the development of an Interface Control Document (ICD).
The intent from this event is for UxSAI to work with providers selected from the AE to further develop their model through collaboration with the UxSAI Program

Submit via events.sofwerx.org/uxsai-cvmodeldev NLT 13 October 2025 11:59 PM ET

ITAR Restricted

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Scout AI Partners with Hendrick Motorsports Technical Solutions on NOMAD – Defense UGV Automated by Fury

Friday, September 26th, 2025

SUNNYVALE, Calif., Sept, 2025 — Scout AI Inc. (“Scout”) and Hendrick Motorsports Technical Solutions (“HMS”) today announced a partnership on NOMAD, HMS’s next-generation unmanned ground vehicle (“UGV”) controlled by Scout’s Fury autonomy system. NOMAD represents Fury’s second UGV form factor and debuts Scout’s fastest foundation model to date, lightweight, low-latency, and purpose-built for compact robotic platforms.

NOMAD also introduces Scout’s second-generation Fury hardware stack, which is more than 90% smaller and significantly more power-efficient than prior versions. The system remains low-signature and passive-sensing, enabling NOMAD to operate autonomously beyond line of sight, follow a human teammate from a safe distance, and integrate a wide range of payloads for light tactical ground missions.

“NOMAD is an incredible platform, fast, adaptable, and designed for the toughest mission environments,” said Colby Adcock, Co-Founder and CEO of Scout AI. “Our partnership with Hendrick Motorsports underscores the extensibility of Fury across multiple form factors. We’re just beginning to unlock its potential across ground, air, sea, and space domains.”

Building on Scout’s mission to deliver next-generation, camera-only autonomy, NOMAD combines Vision-Language-Action (VLA) reasoning with rugged, commercial off-the-shelf hardware. By eliminating costly and fragile sensors and relying on fully learned models, Fury provides human-like judgment in real time while maintaining a low-cost, low-signature footprint.

“At Hendrick Motorsports, our greatest strength has always been our people—the engineers, builders, and innovators who thrive under pressure and push technology to its limits,” said Rhegan Flanagan, Director of Government Programs at HMS. “We are proud to bring that same dedication to supporting the warfighter, whose mission and safety drive everything we do. Partnering with Scout AI allows us to combine world-class vehicle engineering with cutting-edge autonomy to deliver NOMAD—a commercial platform designed to give our servicemembers greater capability, protection, and confidence on the battlefield.”

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Lethality, Innovation, and Transformation Through AI Education at the U.S. Army School of Advanced Military Studies

Sunday, September 21st, 2025

THE ARMY UNIVERSITY, FORT LEAVENWORTH, Kansas – In late July 2025, the Advanced Military Studies Program at the School of Advanced Military Studies, known as SAMS, launched its first-ever experimental, three-day, Practical Application of Artificial Intelligence module.

The mission was simple: transform the program with an innovative, hands-on AI learning experience for students and faculty. The purpose was to enable warfighter lethality through AI education and training.

“AI is changing the character of warfare. Our graduates have got to be ready to lead formations powered by AI—and that’s why we did something about it,” Col. Dwight Domengeaux, Director, SAMS said.

Dr. Bruce Stanley, Director, AMSP, envisioned a module that pushed institutional norms about how mid-career officers learn about AI and learn with AI.

“Did we accept risk? Yes. We did—to create a critical learning opportunity for our students,” Stanley remarked. “We knew what was at stake, and we trusted our faculty and students to make it work.”

And make it work they did.

According to AMSP faculty, the module’s experimental instructional design was key, consisting of ten-and-a-half hours of total classroom contact time divided over three lessons.

“We covered a lot of ground with our students in three days,” Dr. Jacob Mauslein, associate professor, AMSP, said. “Subjects ranged from AI theory and ethical considerations of AI, to applying AI tools, and leading AI-enabled organizations.”

A novel feature of the module was that it was developed by AMSP students. As a task in their Future Operational Environment course, six students from the Class of 2025, mentored by two faculty, developed the AI module that would be taught to the Class of 2026. The students’ final draft was adopted almost without change by the faculty.

“Incorporating students as full participants in the process allowed us to co-develop lesson objectives and materials that deeply mattered to them,” Dr. Luke Herrington, one of the faculty leads for the module shared.

Meeting students where they were in terms of their AI skills and then taking them to the next level was part of the academic approach for the AI module, Herrington explained.

Maj. Justin Webb, PhD, an AY 2025 AMSP student, and one of the module’s developers explained it this way: “SAMS is a warfighting school—so we chose learning activities that would help us become more lethal warfighters with AI. Using AI tools like CamoGPT, Ask Sage, and others for several hours over three days helped us get there.”

Some students in the AY 2026 class were initially skeptical of using AI.

“At first, I didn’t know what I didn’t know,” Army Maj. Stuart Allgood, an Armor officer SAMS student said. “But by the end of the first day my thinking about AI had changed. After the second day, I could use AI tools I had never even heard of.”

Maj. Callum Knight, an intelligence officer from the United Kingdom summed up his experience.

“Before this course I viewed AI as just a data point,” Knight said. “Now that I’ve experienced what’s possible with AI, I realize it’s an imperative that is going to impact everything I do going forward.”

So, what’s next for AI at SAMS?

“Based on what our students got out of this, we intend to add more AI learning moments across the program,” Stanley said. “The priority now is to integrate AI into our upcoming operational warfare practical exercise.”

AMSP is one of the three distinct academic programs within SAMS.

The other two SAMS programs are the Advanced Strategic Leadership Studies Program or ASLSP – a Senior Service College equivalent, and, the Advanced Strategic Planning and Policy Program or ASP3 also known as the Goodpaster Scholars—a post-graduate degree program.

Matthew Yandura is an AMSP assistant professor, and retired Army colonel.

By Matt Yandura, Assistant Professor, School of Advanced Military Studies

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Anduril’s Menace-I Brings Petabyte-Scale Processing to the Warfighter at the Tactical Edge

Monday, September 15th, 2025

On August 11, 2025, U.S. Marines sling loaded Anduril’s Menace-I via a CH-53K King Stallion helicopter, demonstrating new levels of mobility for expanded expeditionary mission planning and coordination. From a distance, it looked like any other grey shipping container. In reality, it was a deployable node for planning, coordination, and data processing—equipped with the power, climate control, compute, connectivity, and security of a fixed facility.

Menace-I is a turnkey command, control, compute, communications, cyber, and intelligence, surveillance and reconnaissance (C5ISR) solution accredited for use as both a Sensitive Compartmented Information Facility (SCIF) and a Special Access Program Facility (SAPF). In less than ten minutes after setup, Menace-I is fully operational and supporting missions in forward, contested environments.

The challenge is delivering large quantities of processing power—secure, accredited, and reliable—to the tactical edge. Today, anything involving classified data in a SCIF or SAPF can only be done in fixed facilities or in Temporary Sensitive Compartmented Information Facilities (T-SCIFs) that require a day or more to set up. That timeline doesn’t work for expeditionary forces that maneuver in hours, not days.

Traditional approaches rely on reach-back to distant data centers over SATCOM links that may be degraded or denied in conflict. At the tactical edge, connectivity cannot be assumed, yet forces still require AI, analytics, mission planning, briefing, and debriefing in seconds. Menace-I solves this by bringing the compute with you.

Menace-I delivers a powerful, secure, accredited SCIF/SAPF set of edge nodes wherever forces are operating—enabling classified mission planning, force generation, and battle management at the point of need. What once took a day or more to set up can now be established in under ten minutes. Every Menace-I runs on Lattice, Anduril’s AI-powered software, is powered by Voyager’s rugged edge computing platform, and is connected through Lattice Mesh, our secure networking fabric.

Proven Real-World Mobility Options

The recent sling load operation validated Menace-I as the only fully integrated mission planning solution for fifth-generation aircraft that is transportable by all organic Marine Corps assets: truck, KC-130J Super Hercules, and rotary wing aircraft.

This mobility matters. Expeditionary forces can now reposition a fully accredited planning node as quickly as they maneuver, ensuring secure command centers move in lockstep with the fight. What once required hours of setup or reach-back can now move forward with the unit, giving commanders immediate access to secure facilities wherever the mission takes them.

Petabyte-Scale AI at the Edge

Artificial intelligence, advanced analytics, and cross-domain data processing demand massive compute capacity—rarely available at the tactical edge. To meet this need, in July, Anduril delivered the first Menace-I in a petabyte-scale configuration, powered by Voyager.

The configuration quadruples compute capacity with tens of thousands of cores, brings petabyte-scale storage, and delivers high performance computing (HPC) and graphics processing unit (GPU) acceleration to the edge. It provides the same expeditionary capabilities of Menace-I, scaled to handle AI workloads, data fusion, mission planning, briefing, and debriefing—all without relying on fragile reach-back to distant data centers.

In a D-Day environment where connectivity is uncertain, Menace-I brings the data center with you.

At the heart of Menace-I is Voyager, Anduril’s family of rugged edge communications and computing solutions. Voyager is engineered to withstand extreme environments, electronic attack, and jamming. Its modular design makes it easily adaptable to different mission needs.

Voyager is deployed in austere environments worldwide, trusted by thousands of customers, and is the preferred solution for rugged computing for militaries and special operations forces.

Cross-Domain Operations with Everfox

Conflicts are contested across land, air, sea, space, and cyber. Winning requires seamless data movement across classification levels.

Voyager is now the preferred edge server hardware platform for Everfox’s cross-domain solutions, enabling enterprise-grade data transfer between classification levels in expeditionary environments. This partnership ensures that forces operating at the tactical edge can move intelligence across domains and networks without sacrificing security or speed. Imagery, targeting data, and mission plans can flow seamlessly from unclassified to classified environments—and back—enabling faster, more informed decisions in contested battlespaces.

Everfox, powered by Voyager, will be deployed across Anduril’s Menace family of systems, enabling customers to conduct cross-domain operations at the edge.

In the Field Today

Menace-I is deployed with customers and partners today, enabling forward-deployed forces to plan, process, and fight with the speed, security, and mobility needed to stay connected wherever the fight takes them.

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