Santa Clara, CA – Artificial intelligence may be advancing at breathtaking speed, but the limiting factor is no longer just compute power. It’s infrastructure. At the AI Infra Summit in Santa Clara, executives from NJFX, CoreSite, OpenAI, Actnano, and Cirrascale tackled the pressing challenges of scaling AI responsibly.

The discussion, moderated by Dave Driggers, CEO and CTO of Cirrascale Cloud Services, brought together:

• Gil Santaliz, CEO & Founder of NJFX
• Eric Dela Pena, Director of Sales Engineering at CoreSite
• Reza Khiabini, Member of Technical Staff at OpenAI
• Taymur Ahmad, Founder & CEO at Actnano

Together, they examined how colocation providers, new facility design, and industry standards will define the next stage of AI infrastructure.

By 2026, when NVIDIA’s next-generation chips are released, liquid cooling will no longer be optional—it will be the baseline.

“We’re going to need a new level of density in these facilities—mixing and matching workloads, but with hardened infrastructure,” said Dave Driggers of Cirrascale. “Telcos eventually set those standards; the difference is we have to get there much faster than they did.”

Eric Dela Pena of CoreSite emphasized the collective responsibility: “We’re really going to gain adoption on all of this as a community. We need to settle on what is going to be the standard—and how we come together to build data centers capable of supporting the future of AI workloads.”

Inference Shaping Infrastructure

Inference workloads, unlike training, are highly latency-sensitive. To deliver real-time responses, compute must be pushed closer to users and data sources. This shift is giving rise to Inference Optimal Locations (IOLs).

“Every millisecond matters,” said Reza Khiabini of OpenAI. “You can’t ship inference halfway across the country and expect real-time performance. We need infrastructure close to the edge, near the users.”

Gil Santaliz of NJFX tied this directly to connectivity: “Inference is about connectivity and production data. The ecosystem sits in carrier hotels today, but we have to rethink how those facilities can responsibly support AI workloads.”

Carrier hotels have historically been vital for interconnection, but panelists agreed they are ill-suited for liquid-cooled AI at scale.

These multi-story, multi-tenant buildings face four critical challenges:

• Leak mitigation in shared cooling environments
• Structural load capacity limits for dense racks
• Power density requirements beyond design specs
• Physical and cyber security vulnerabilities

Santaliz used a memorable analogy: “If you own a home, you control everything. But if you live in a condominium, you share centralized systems and must be mindful of your neighbors. That’s the reality of multi-tenant infrastructure.”

Some operators are tethering expansions to existing facilities to buy time. But panelists stressed the limits of this approach.

Taymur Ahmad of Actnano warned of risks that cannot be ignored: “Cooling introduces challenges like condensation and leaks. If you don’t design with protective technologies, you risk outages that no operator wants to face.”

Driggers added: “You can’t build production AI on stopgaps. Tethering may help in the short term, but it’s not the long-term solution.”

The Path Forward: Purpose-Built, Connectivity-Rich Facilities

The future of AI infrastructure lies in purpose-built facilities designed for density, liquid cooling, and direct interconnection.

“We can support three or four unique requests; no one can handle 10 or 20,” said Santaliz. “We start customers at a megawatt and let them grow. It’s a boutique approach—doing an exceptional job for a few, not trying to be everything for everyone.”

Panelists agreed that North America will require next-generation AI facilities in four key regions:

• Northeast – to serve the main population corridor
• Southeast – close to fast-growing population hubs
• Southwest – balancing hyperscale demand and edge growth
• Northwest – providing resiliency and redundancy

“Liquid cooling should be the standard,” Ahmad added. “But at the edge, we may also need custom approaches. The design has to fit the workload and location.”

AI Entering Production Mode

The panel closed with a clear message: AI is no longer in the experimental stage—it is entering production mode.

“AI has left the lab,” said Driggers. “This is about scaling production workloads, and that means scaling infrastructure in a way that hasn’t been done before.”

Santaliz reinforced the point: “Inference is about connectivity, production data, and working with the masses. That’s why colocation providers matter more than ever.”

The conversation in Santa Clara underscored a turning point: AI is no longer just a software story—it’s an infrastructure story.

Cooling, density, and connectivity will define the winners. And colocation providers—once seen as landlords—are emerging as strategic partners in enabling AI’s future.

As the panel made clear, the future of AI will be written not just in code, but in concrete, steel, fiber, and water.

A New Wave in Cloud Infrastructure

The data center industry is entering a new era. For years, hyperscalers dominated the market, offering massive, centralized compute power that fueled global enterprises and cloud-native applications. But now, Neo Clouds are emerging—specialized providers engineered to support the exponential demand for AI, HPC, and ultra-low latency workloads.

Unlike traditional hyperscalers that built scale on broad utility services, Neo Clouds are optimized for density, performance, and agility. And in doing so, they may become the first real competition hyperscalers have seen in over a decade.

How Neo Clouds Redefine Compute Resource Deployment

Here’s how Neo Clouds distinguish themselves in their approach to compute resource deployment:

• High-Density Compute: Unlike hyperscalers that operate with standard 8–12kW racks, Neo Clouds like Flexential design their data centers for much higher power densities—often 50kW or even up to 200kW per rack in extreme cases.

• Liquid Cooling: Such density necessitates advanced cooling solutions beyond traditional air cooling. Direct-to-chip and immersion liquid cooling are becoming standard to manage the immense heat output of these systems.

• Custom Hardware Integration: Neo Clouds integrate specialized hardware like GPUs and TPUs, directly addressing the performance needs of AI and ML applications.

• AI-First Architecture and Orchestration: Unlike general-purpose hyperscaler environments, Neo Clouds design their infrastructure, networking, and orchestration layers specifically for AI workloads, ensuring superior performance and efficiency.

• Bare-Metal Access: Leading Neo Clouds like Voltage Park emphasize bare-metal GPU access, removing virtualization overhead and offering better performance and predictability for specialized workloads compared to virtualized hyperscaler models.

Competition or Complement to Hyperscalers?

Hyperscalers are known for scale and ecosystem reach. However, hyperscaler footprints aren’t always optimized for latency-sensitive, high-power workloads. Enterprises looking to train or deploy large models face constraints when pushing beyond 12kW racks in legacy cloud facilities.

Neo Clouds are filling this gap, offering AI-ready colocation and compute clusters that hyperscalers often can’t deliver with the same speed or specialization. While they may not replace hyperscalers outright, Neo Clouds are carving out a new category: specialized competition at the high-performance layer of the cloud stack.

Why This Matters for Data Centers

The rise of Neo Clouds signals a fundamental shift in how data centers need to evolve:

• Power Density as the New Currency: Where once interconnection and resiliency were the core differentiators, megawatts of GPU-ready power per hall is now the key metric.

• AI as the Anchor Tenant: Just as hyperscalers reshaped the industry by becoming the anchor tenant of the last decade, AI-native cloud operators could drive the next wave of growth.

• Strategic Location Matters More: Facilities near subsea cables and financial hubs are especially attractive for Neo Clouds, enabling global connectivity and real-time performance.

Conclusion: The Next Chapter of Cloud Competition

The emergence of Neo Clouds highlights a turning point in digital infrastructure. As enterprises demand compute that is denser, faster, and more adaptable, the market is shifting away from one-size-fits-all hyperscale models.

For data centers, the question is no longer just about space and power—it’s about who can provide the densest racks, the lowest latency, and the most direct connectivity to AI workloads. In this landscape, Neo Clouds are not just disruptors; they’re redefining what the future of cloud looks like.

At NJFX, we’re meeting this demand head-on with a 9MW AI-ready data hall, purpose-built for high-density deployments. By combining subsea and terrestrial interconnection with liquid-cooled infrastructure, NJFX offers the environment Neo Clouds and AI-native workloads require to thrive.

Extreme weather events like hurricanes pose significant threats to the telecommunications sector, where uninterrupted connectivity is critical for businesses, emergency responders, and communities. A robust preparedness plan ensures that telecom operators can minimize downtime, protect assets, and safeguard public safety.

Purpose and Scope
This guide provides a structured approach for hurricane preparedness in telecommunications, covering risk assessment, infrastructure protection, operational response, and recovery strategies.

Objectives

• Minimize service interruptions during hurricanes
• Protect critical infrastructure and data
• Ensure safety and readiness of staff
• Maintain communication continuity for stakeholders

Stakeholders Involved
Preparedness requires coordination between network operators, data center managers, subsea and terrestrial fiber providers, government agencies (OEM, FEMA, local police/fire), customers, and the broader community.

I. Preparation Phase

A. Risk Assessment & Planning

• Identify critical assets (cable landing stations, data centers, towers, subsea systems).
• Conduct =vulnerability analysis for structural, environmental, and geographical risks.
• Establish communication dependencies, including PACE (Primary, Alternate, Contingency, Emergency) plans and succession protocols.

B. Infrastructure Protections

• Fortify facilities with windproofing, flood barriers, and elevated systems.
• Ensure backup power redundancy with generators, UPS, and fuel reserves.

C. Data and System Backup

• Schedule regular backups to cloud-based platforms.
• Validate backup integrity to avoid corrupted or inaccessible data during crisis.

D. Staffing & Training

• Define roles within the Emergency Action Plan.
• Conduct hurricane-specific drills.
• Maintain a communication priority list to streamline decision-making.

E. Communication and Coordination

• Establish channels with local authorities, utilities, and emergency services.
• Pre-notify personnel and stakeholders of plans.
• Coordinate with fiber operators and providers to align response actions.

F. Inventory & Equipment

• Maintain an updated inventory of spare parts and repair tools.
• Pre-position critical hardware and portable power sources.

II. Response Procedures

A. Monitoring & Alerts

• Track weather developments through official channels.
• Activate internal alerts once hurricane watches/warnings are issued.

B. Activation of Emergency Operations

• Follow activation protocols for team mobilization and asset reinforcement.
• Support staff life-safety needs with 72-hour resource reserves.

C. Communication Management

• Use redundant communication systems (satellite, radio, mesh).
• Provide real-time updates to customers and stakeholders.

D. Infrastructure Management

• Secure and shut down non-essential systems.
• Assign ops teams for rapid-response repairs.

E. Data Integrity & Security

• Safeguard data accessibility.
• Monitor for cyber vulnerabilities during outages.

III. Recovery Procedures

A. Damage Assessment

• Inspect infrastructure post-storm, documenting impacts for insurance and regulatory purposes.
• Prioritize restoration of critical network pathways.

B. Restoration of Services

• Coordinate with subsea and terrestrial partners for fast repair.
• Restore power, cooling, and connectivity in phases.

C. Post-Event Review

• Conduct debriefings to evaluate response effectiveness.
• Capture lessons learned and refine plans.

D. Communication & Reporting

• Provide transparent updates to stakeholders.
• Share service restoration timelines and resilience improvements.

IV. Continuity Planning

• Implement alternate routing and failover systems.
• Establish off-site backup operations in case of primary site compromise.
• Maintain updated emergency contact lists (Wall PD, FD, NJSP, OEM, FEMA).

Lessons from Other Disasters: Wildfire Preparedness in Telecom

While hurricanes dominate East Coast concerns, wildfires have presented parallel risks to telecom infrastructure. For example, a recent wildfire near the Pine Barrens threatened towers supporting mobile and internet services. As flames advanced, operators rerouted traffic through alternative networks to reduce outages.

Despite these efforts, some communities still experienced temporary blackouts—limiting access to evacuation alerts and emergency notifications. This underscored the need for redundant systems, fireproof infrastructure, and emerging mesh technologies that can maintain connectivity even when physical assets are compromised.

Similar to hurricane planning, wildfire preparedness requires proactive measures: clearing vegetation near facilities, equipping sites with portable power, and ensuring staff safety. Both scenarios emphasize one key truth: telecom resilience is public safety resilience.

Hurricane preparedness in the telecom sector is not optional—it is mission-critical. By investing in robust infrastructure, planning for contingencies, and learning from other disasters like wildfires, operators can safeguard networks that millions rely on for communication, safety, and stability.

Resilient critical infrastructure is the backbone of modern society. As weather patterns grow more unpredictable, preparation ensures continuity when it matters most. See below on how to prepare and stay safe.

At NJFX, we’ve always believed that building a stronger telecommunications industry means investing in the people who will carry it forward. For the past nine years, nurturing the next generation has been part of our mission by providing students and young professionals the chance to gain real-world experience in operations, security, sales, and marketing.

We have had the privilege of mentoring 10 exceptional interns who have gone on to flourish in their careers. Each has taken the knowledge and opportunities gained at NJFX and applied them to exciting new chapters in the IT, telecom, and enterprise space.

Today, on International Interns Day, we proudly celebrate their journeys:

Sales & Business Development

JP Merkler – Interned under Felix Seda, focusing on sales and business development strategies → Now at Goldman Sachs

Sarah Kurtz – Also a sales/BD intern under Felix, later hired full-time at NJFX as Business Development & Marketing Associate, and eventually became a mentor → Now at Cloudflare

Amanda Kadunce – Mentored by Sarah Kurtz during her internship in sales/BD → Now at QTS

Site Access, Security & Compliance

Spencer Nowak – Focused on accounting and security while helping develop compliance assessment tools with our Site Access team → Currently completing his degree and interning at Orangewood Partners

Tiffany Antonelli – Worked on site security and developed tools to help ensure our facility met high government compliance standards → Now an Intelligence Analyst with the NJ State Police

Michael Beekman – Participated in site and compliance support, with a focus on investigative practices → Now a Senior Anti-Money Laundering Investigator at Standard Chartered

Engineering & Operations

Olivia Braunstien – Served as an engineering intern and later found her passion in brand and technical marketing → Now Marketing Manager at BD

Dylan Braunstien – Operations intern who gained exposure to data center processes and customer handling → Currently interning at Fiserv

Marketing & Strategy

Taylor Khan – Supported by Emily Newman during her marketing internship, worked on digital campaigns and event planning → Now part of Verizon’s professional development program

Alex Sokol – A high school student who interned at NJFX to explore both marketing and operations. He learned firsthand the intricacies of managing a premier interconnection hub → Continuing studies, with a deepened passion for digital infrastructure

Why NJFX Supports Internships and the Next Generation 

Beyond our own program, NJFX has worked to extend this mission to the broader telecom community. Eight years ago, we helped launch the Millennials in Telecom initiative at PTC, recognizing that the industry needed to create more intentional opportunities for young professionals to break in, be heard, and find their place.

What started as an informal gathering has since evolved into the PTC Beyond Committee, an official initiative that gives students and early-career professionals free access to the Pacific Telecommunications Council’s annual conference in Honolulu. This platform allows emerging leaders to meet with senior executives, ask questions, explore cutting-edge topics, and build connections that can shape their futures.

For NJFX, the motivation has always been clear: today’s interns are tomorrow’s innovators, network architects, cybersecurity experts, and decision-makers. By creating a hands-on, meaningful internship experience and amplifying that effort through broader industry platforms, we’re helping to ensure that the future of telecommunications is not only technically strong but also diverse, inclusive, and future-ready.

As we celebrate National Interns Day, we reaffirm our commitment to uplifting the next generation and continuing to be a gateway for future leaders in the world of connectivity.

The Next Evolution of the Trusted Middle Mile

The Internet has entered a new era. From the work‑from‑home revolution and the explosion of IoT devices to the dramatic rise of generative AI and real‑time analytics, our society is generating and consuming data at unprecedented scale. Video calls and cloud applications have long tested broadband capacity, but today’s AI workloads demand much more: ultra‑low latency, high‑bandwidth “pipelines” that carry massive model weights and inference results between data centers, subsea cables, and end users.

Since 2015, NJFX has embodied the concept of “The Trusted Middle Mile”: a purpose‑built, Tier 3 campus designed from the ground up to be carrier‑neutral, resilient, and future‑ready. Our New Jersey facility serves as the critical junction where multiple subsea cables meet U.S. terrestrial routes, Internet exchanges, global cloud on‑ramps, and content delivery networks. With four live subsea systems, NJFX connects over 30 independent network operators, including industry leaders such as AT&T, Zayo, Lumen, Windstream, Arelion, and Verizon, each leveraging terrestrial and aerial routes to ensure true path diversity.

AI‑Ready Infrastructure at the Edge
Today’s AI models whether powering real‑time language translation, autonomous vehicles, or complex simulations—thrive on speed. NJFX meets this need by hosting edge inference nodes and providing direct, low‑latency connectivity to major cloud providers’ regional PoPs. Our high‑density data halls support up to 10 MW of power, cooling optimized for GPU infrastructure, and turnkey rack builds that get you up and running in days, not months. By placing compute closer to where data lands, we dramatically reduce round‑trip times for AI training and inference, giving you a competitive edge in data‑driven innovation.

Robust physical security, redundant power feeds, and continuous operational oversight ensure your network stays online 24×7×365. Our team works hand‑in‑hand with DHS/CISA and local authorities to monitor threats, coordinate response efforts, and provide customers with real‑time alerts and support. From fiber‑path diversity spanning Denmark to Brazil, to hardened design against environmental hazards, NJFX is engineered for the unexpected.

As organizations across finance, healthcare, media, and beyond lean ever more heavily into AI, the network that underpins innovation must be as intelligent and adaptable as the applications it carries. NJFX remains your trusted middle mile is ready for today’s challenges and built for tomorrow’s breakthroughs.

With a proven track record of managing complex financial systems and streamlining operational processes, Brandon plays a pivotal role in supporting NJFX’s financial health and strategic planning efforts.

In his role, Brandon works directly with Chief Financial Officer Jim Martini, helping to oversee daily financial operations, budgeting, reporting, and long-term forecasting. His goal-oriented mindset and keen attention to detail ensure NJFX remains efficient, compliant, and positioned for continued growth.

Brandon‘s path into finance began with a Bachelor of Science in Finance, which provided him with the technical knowledge and analytical skills needed to thrive in high-paced environments. Beyond the numbers, Brandon brings a strong sense of leadership and discipline to the team—skills sharpened during his time as a Division I collegiate athlete, playing soccer for both the University of Pittsburgh and the University of South Florida.

With a passion for collaboration and continuous improvement, Brandon is already making an impact at NJFX, and we’re proud to have him on board as we continue to scale and evolve our operations.

As these technologies mature, so does the infrastructure required to support them. At NJFX, we’re positioned to serve as the digital backbone for both, particularly as they scale into horizontal and vertical AI models that demand resilient, scalable, and globally connected infrastructure.

Generative AI is the engine behind tools like ChatGPT, MidJourney, and GritHub Copilot. These models are trained on broad datasets to create entirely new content, text, images, and more.

Generative AI is primarily a horizontal model, meaning:

• It is general-purpose, built to serve a wide range of industries.

• It can be fine-tuned into vertical applications (e.g., legal chatbots, AI copywriters, medical scribe tools).

• Think of it as the foundational layer upon which other domain-specific tools are built.

Examples of horizontal Generative AI platforms:

• OpenAI GPT-4

• Anthropic Claude

• Google Gemini

Agentic AI Model: Vertical by Design
Agentic models refers to models that simulate evolution to optimize for solutions over time by running iterations based on mutation, selection, and crossover. These are often agent-driven systems, capable of self-improvement and decision-making.
This class of AI leans heavily into vertical applications such as:

• Drug discovery (optimizing molecule configurations)

• Supply chain design

• Aerospace and materials engineering

• Complex simulations in finance or national security

Powering the Full AI Spectrum
Whether horizontal or vertical, generative or agentic, all AI models depend on reliable, scalable digital infrastructure and NJFX delivers exactly that.

We offer direct access to 35+ global network operators, major subsea cables (to Europe, LATAM), and intercontinental cloud routes—essential for training or deploying horizontal models at scale and enabling real-time decisioning for vertical AI agents.

Our purpose-built facility support 5-10MW’s of Edge AI infrastructure, with high-density, water-based cooling—built for GPU-intensive generative training or the parallel compute environments needed by agentic models.

Generative platforms benefit from our latency-sensitive proximity to population hubs without the chokepoints of congested metro centers. Whether delivering inference outputs or supporting SaaS-based AI platforms, NJFX acts as a critical interconnection point for AI traffic in and out of North America.

Financial institutions, healthcare systems, and scientific researchers with agentic models benefit from NJFX’s low-risk location, network diversity, and connectivity to cloud, edge, and research networks. Our environment supports long training windows, regulated industries, and AI lifecycle compliance.

The AI Future is Both Wide and Deep
Generative AI is scaling horizontally, becoming a layer upon which specialized tools are being built.
Genetic (Agentic) AI is scaling vertically, with bespoke solutions evolving across healthcare, energy, defense, and finance.

But both share the same demands:
Ultra-low-latency connectivity
Compute density at the edge
Global reach and network resilience

AI is not one-size-fits-all—it’s a spectrum of models, missions, and use cases. At NJFX, we support this entire ecosystem by delivering purpose-built, carrier-neutral, AI-optimized infrastructure at the edge of the world’s most important digital routes.
Whether you’re scaling a generative model across continents or evolving agentic intelligence for life sciences, we’re ready.

Discover how NJFX powers AI
Contact us to explore AI-ready deployment at the edge

The global economy relies on the efficiency of subsea cables where fiber optic links power the world’s internet, cloud, and financial organizations. Last year, we witnessed how quickly this critical infrastructure can be disrupted as sabotaged cable cuts in the Baltic Sea raised red flags across Europe. These unfortunate events serve as a stark reminder that the world’s digital backbone is vulnerable not just to wear and tear, but to geopolitics. The world is once again reminded that digital infrastructure is not immune to the pressures of global conflict.

This year, the escalating war between Israel and Iran has expanded beyond physical battlefields and into the digital domain. Both nations known for cyber warfare capabilities are weaponizing connectivity. Iran’s response to anticipated Israeli cyberattacks was swift and sweeping a near-total internet blackout imposed in early June. According to Cloudflare, Iran’s internet traffic dropped by approximately 97% compared to normal levels, cutting off tens of millions of people from access to information and communication. While much of the global economy remained online, this event demonstrated just how easily connectivity can become collateral damage in geopolitical conflict.

The Middle East plays a critical role in global telecommunications, serving as a key corridor for subsea and terrestrial cables connecting Europe, Asia, and Africa. With networks dependent on major subsea systems routed through politically sensitive areas including the Suez Canal and the Persian Gulf, any conflict in the region threatens the stability of global network operations.

What’s happening today is not without precedent. This dual front – cyber and physical – makes one thing clear: telecommunications networks can no longer rely on conventional routing through high-pressure geopolitical zones.

At NJFX, we’ve long prepared our customers with diverse, resilient network options regardless of rising global tensions. Blue-sky planning isn’t just part of our strategy. It is essential for ensuring our customers have access to the most unique and secure routes available for their critical infrastructure.

In early 2024, during our Critical Infrastructure Forum, NJFX convened over 30 executives and network leaders to examine global network risks, including the over-reliance on subsea cables transiting through Egypt and the vulnerability of legacy metro chokepoints.  That foresight is proving essential now, as the Israel-Iran conflict adds a new layer of volatility to an already fragile global infrastructure map.

The industry must act with urgency. The internet has become a weapon, a shield, and a lifeline all at once. Building secure, resilient, and redundant infrastructure is no longer optional. It’s a requirement.

NJFX is leading the way providing insight into diverse global routes, minimizing exposure to global flashpoints, and supporting high-performance workloads from AI to finance that rely on constant connectivity. In today’s interconnected world, digital infrastructure doesn’t just carry data. It carries economies, diplomacy, security, and access to truth.

NJFX proudly announces Felix Seda to Chief Revenue Officer, marking a milestone in a journey defined by steadfast dedication, strategic leadership, and meaningful impact on the digital infrastructure landscape.

Felix’s professional career began at Barclays Wealth, where he served as Assistant Vice President in the firm’s Private Wealth division. Tasked with managing the Advisory Middle Office across North America, he developed an exceptional operational skill set and a sharp eye for detail. These attributes would later become foundational as he transitioned into the fast-paced world of telecommunications.

In 2015, Felix joined forces with industry veteran Frank Farrugia to help build NJFX from the ground up. His financial acumen and operational discipline were instrumental in establishing NJFX as the first Tier 3, carrier-neutral cable landing station and colocation campus in North America. Working closely with Frank, Felix laid the groundwork for NJFX’s robust infrastructure and operational excellence, which continue to define the company’s reputation as a trusted and reliable connectivity hub.

As NJFX matured, so too did Felix’s role. He stepped into a key partnership with NJFX CEO Gil Santaliz, contributing to the company’s expansive growth trajectory. Together, they broadened NJFX’s customer portfolio and elevated the facility’s role as a strategic intersection point for subsea and terrestrial networks. Known throughout the industry for his approachable demeanor and customer-first approach, Felix has cultivated long-lasting relationships and a collaborative NJFX ecosystem.

Felix’s leadership also extends into industry mentorship and community engagement. He is a passionate advocate for empowering the next generation of telecom professionals. One of his signature achievements is the “PTC Beyond” initiative, which provides complimentary registration to the Pacific Telecommunications Council’s annual conference for emerging leaders in the field. His advocacy for inclusion and mentorship was recognized at the PTC ’25 Awards, reinforcing his role as a changemaker within the industry.

Industry organizations have taken note of Felix’s accomplishments. He has been named to NJBiz’s “40 Under 40” list, honoring New Jersey’s rising business leaders, and recognized by Capacity Media on its esteemed “Power 100” list four consecutive years, which celebrates the most influential figures in the global wholesale telecom space.

As a partner of NJFX, Felix remains deeply invested in the company’s long-term success, ensuring its continued growth, innovation, and leadership within the global digital infrastructure ecosystem. As Chief Revenue Officer, Felix leads NJFX into a new chapter—one that includes the launch of a 4.5MW AI-enabled data hall designed to meet the growing demands of high-performance computing and enterprise AI workloads. His vision and leadership continue to drive NJFX’s evolution as a cutting-edge, resilient digital infrastructure provider.

Felix Seda’s journey from the financial halls of Barclays to the frontlines of telecommunications innovation exemplifies the spirit of NJFX. His dedication, vision, and collaborative leadership have left an indelible mark on the organization’s growth, and the future holds even greater promise under his guidance.

AI advancements are playing a pivotal role in transforming global network strategies and redefining connectivity priorities. As enterprises strive to adapt to the digital age, the influence of AI is compelling a comprehensive thought process of how networks are structured and managed. This shift has been particularly significant in strategic locations like New Jersey, where the demand for Tier 3 carrier neutral infrastructure is on the rise. With AI driving unprecedented efficiency and intelligence in data processing, operators are increasingly prioritizing robust, scalable solutions to mitigate risks to their networks. The integration of AI into network infrastructure is revolutionizing how organizations approach their global connectivity strategies. This section explores the profound impact of AI advancements on network architecture and the subsequent rethinking of traditional network strategies.

AI Advancements and Connectivity

AI advancements are fundamentally altering the landscape of network connectivity. These innovations are enabling more intelligent, efficient, and adaptive network systems that can respond to changing demands in real-time. Machine learning algorithms are now capable of predicting network traffic patterns, allowing for proactive resource allocation and optimization. This predictive capability significantly enhances network performance and reliability. Edge computing, powered by AI, is reducing latency and improving data processing speeds. By bringing computational power closer to the data source, organizations can achieve near-instantaneous responses, critical for applications like autonomous vehicles and IoT devices.

AI-driven network security measures are becoming increasingly sophisticated, offering robust protection against evolving cyber threats. These systems can detect anomalies and potential breaches faster than ever before, ensuring the integrity of global networks.

Carrier Neutral Infrastructure Benefits

The advent of AI technologies is compelling organizations to reassess their global network strategies. This shift is driven by the need for more flexible, scalable, and intelligent network infrastructures.

Traditional network architectures are being replaced by software-defined networking (SDN) and network function virtualization (NFV). These technologies, enhanced by AI, allow for more dynamic and efficient network management. Cloud-native networking is gaining prominence, enabling organizations to leverage the power of distributed computing. This approach facilitates better resource utilization and provides the agility needed to adapt to rapidly changing business requirements. AI-powered analytics are now central to network strategy, offering deep insights into network performance, user behavior, and potential optimizations. These insights drive data-informed decision-making, leading to more effective network designs and implementations.

As AI continues to shape the technological landscape, organizations are reevaluating their connectivity priorities. The growing importance of carrier-neutral infrastructure and the strategic significance of data centers in locations like New Jersey. Carrier-neutral infrastructure has become a cornerstone of modern network strategies, offering numerous advantages in the AI-driven landscape. Flexibility is a key benefit of carrier-neutral facilities. Organizations can choose from multiple service providers, allowing them to optimize their network based on specific needs and budget constraints. Redundancy and reliability are significantly enhanced in carrier-neutral environments. The presence of multiple carriers ensures that if one experiences issues, others can seamlessly take over, minimizing downtime and maintaining connectivity.

Carrier-neutral infrastructure also promotes competition among providers, often resulting in more competitive pricing and improved service quality. This market-driven approach benefits organizations by providing access to cutting-edge technologies and services.

Data Centers in New Jersey: A Strategic Choice

New Jersey has emerged as a strategic location for data centers, offering unique advantages for organizations looking to optimize their network infrastructure in the AI era. Proximity to major financial centers like New York City makes New Jersey an ideal location for data centers serving the finance industry. This proximity reduces latency, crucial for high-frequency trading and real-time financial operations. New Jersey’s robust power infrastructure and favorable climate contribute to the reliability and efficiency of data centers in the region. These factors are essential for maintaining the high-performance computing environments required for AI applications.

The state’s strong telecommunications backbone and access to multiple carrier networks enhance connectivity options. This infrastructure supports the high bandwidth and low latency requirements of AI-driven applications and services.