FortifAI Limited (ASX: FTI) has laid out its vision for the burgeoning Agentic AI infrastructure sector, spotlighting its Nol8 AI Data Plane technology designed to tackle critical GPU underutilisation and data delivery bottlenecks. The company projects a $120 billion total addressable market by 2030, driven by explosive growth in AI agent workloads and data movement demands.
- Nol8 AI Data Plane boosts GPU utilisation above 95%
- Agentic AI workloads growing at 96% CAGR
- $120 billion AI infrastructure market opportunity by 2030
- Consumption-based pricing with 95%+ gross margins
- Go-to-market via NeoCloud integration and distribution
Nol8 Tackles Critical AI Infrastructure Bottlenecks
FortifAI Limited (ASX:FTI) has spotlighted a pressing issue in the AI infrastructure space: GPU starvation caused by inefficient data delivery. Their Nol8 AI Data Plane technology aims to radically improve GPU utilisation, which currently idles near 50% in enterprise Agentic AI workloads. By accelerating data movement and governance at wire speed, Nol8 claims to feed GPUs with over 95% efficiency, unlocking substantial cost savings and performance gains.
This is no small feat given the complex, multi-step workflows AI agents demand, which disproportionately tax CPUs and create latency bottlenecks. According to industry research cited by FortifAI, CPUs can account for up to 90% of total workload latency, underscoring the need for a specialised data plane that can handle the exponential growth in unstructured data and rule complexity.
Agentic AI Growth Drives Market Opportunity
The company frames this technology within the context of a rapidly expanding Agentic AI market. With agentic token growth forecasted at a staggering 96% compound annual growth rate (CAGR) through 2030, FortifAI estimates the total addressable market (TAM) for AI data movement infrastructure to reach approximately $120 billion. This figure is derived from a projected $1.1 trillion in AI infrastructure spending, with around 11% attributable to the data movement layer Nol8 targets.
FortifAI's CEO Kelly Herrell, a Silicon Valley veteran brought in to scale the business, emphasises the shift towards "always-on" AI agents that operate continuously and at scale, multiplying data demands by 10 to 50 times compared to traditional chatbot interactions. This explosion in agent workloads intensifies the need for a new class of infrastructure that can deliver data efficiently and at low latency.
Integrated Hardware-Software Stack Underpins Competitive Moat
FortifAI highlights its competitive advantage as stemming from a fully integrated AI data plane stack combining deterministic neural network algorithms, accelerated FPGA-based hardware, and optimized software. This end-to-end integration is designed to overcome the limitations of legacy CPU-based software and hardware-only solutions, which struggle to scale with rising data volumes and rule complexity.
Benchmarks showcased in the presentation demonstrate Nol8’s ability to maintain constant throughput of 1.5 GB/s at wire speed, with latency remaining flat even as classification rules scale into the thousands. This contrasts sharply with legacy systems where latency increases dramatically under similar workloads.
Go-to-Market Strategy Leverages NeoCloud Ecosystem
FortifAI plans to scale its technology through integration with the NeoCloud ecosystem, which currently generates around $20 billion in revenue and is forecasted to grow to $180 billion by 2030. This approach targets AI-native builders and enterprises deploying agentic workloads globally, offering Nol8 as a consumption-based, software-level service.
The pricing model is designed to deliver efficiency and absorb the profit pool, with customers paying per gigabit-second of throughput as they scale. This promises predictable, compounding monthly recurring revenue with gross margins exceeding 95%, a significant shift away from traditional hardware sales towards SaaS-like economics.
Scaling Agentic AI Requires New Infrastructure Paradigm
FortifAI’s presentation underscores the inadequacy of one-size-fits-all pipelines in the face of agentic AI’s unique demands. With agents operating 24/7, processing vast amounts of unstructured data, and requiring complex governance rules, the data plane must deliver low-latency, high-throughput, and real-time governance capabilities.
The company positions its Nol8 AI Data Plane as the "missing layer" in AI infrastructure, essential for profitable scale-out of agentic AI programs. By recovering idle GPU cycles and enabling affordable scaling, FortifAI aims to unlock economic outcomes for both GPU infrastructure owners and enterprise AI users.
Bottom Line?
FortifAI’s Nol8 AI Data Plane targets a critical bottleneck in the Agentic AI surge, but market adoption and financial traction remain key hurdles ahead.
Questions in the middle?
- How quickly will enterprises adopt Nol8’s AI Data Plane at scale?
- Can FortifAI sustain its competitive moat against emerging AI infrastructure rivals?
- What milestones will validate Nol8’s projected $120 billion market opportunity?