FortifAI Launches Nol8 AI Data Plane 1.0 for Agentic AI Workloads

Nol8 AI Data Plane Arrives Early to Address AI Infrastructure Gaps

FortifAI Limited (ASX:FTI) has taken a significant step in the AI infrastructure race by launching Version 1.0 of its Nol8 AI Data Plane, a technology designed to deliver real-time, governed data streams tailored for demanding Agentic AI workloads. The release comes ahead of the company’s own roadmap, enabling NeoCloud Providers and early design partners to begin customer testing and proof-of-concept engagements immediately.

Millions of AI agents require unique, millisecond-speed data streams that are curated and governed to comply with stringent policies. Nol8 fills a critical void in the AI stack by providing this missing fourth layer alongside storage, compute, and networking. The platform’s ability to deliver data at wire speed with low latency and high throughput promises to unlock higher GPU utilisation and faster capital payback for AI infrastructure operators.

Governed Data Delivery Cuts Costs and Boosts Performance

Traditional approaches to AI data delivery rely heavily on large arrays of CPUs and legacy software, which struggle to feed GPUs at the scale and speed required by Agentic AI workloads. Nol8’s combination of advanced software algorithms and industry-standard accelerated hardware offers a breakthrough by delivering governed agentic data streams with industry-leading low total cost of ownership (TCO).

FortifAI highlights that Nol8’s capabilities will reduce idle GPU cycles and improve margins for NeoCloud Providers, while enterprises benefit from fast, policy-enforced data delivery that meets compliance demands. This is particularly relevant as AI systems increasingly handle sensitive data requiring inline governance and classification.

Supporting Complex Agentic AI Workloads

The initial focus of Nol8’s deployment includes several critical AI workload stages: high-frequency agent-to-agent data exchanges governed by inline policies; pre-inference data preparation ensuring clean, model-ready inputs; post-inference governance to secure outputs; and inline data governance to enable safe use of sensitive data previously restricted by compliance concerns.

Kelly Herrell, CEO of Nol8, emphasises the platform’s role in delivering precisely the right data to each AI agent at millisecond speeds, while ensuring compliance and reducing costs compared to legacy methods. Founder and CTO Alon Rashelbach adds that Nol8 is built to handle petabytes of data flowing continuously into AI systems with response times measured in milliseconds.

Commercial Testing and Market Positioning

With Version 1.0 now available to select design partners, FortifAI is poised to accelerate commercial adoption of Nol8’s AI Data Plane. The technology’s early availability supports the company’s broader ambition to complete the AI infrastructure stack and capture a share of the rapidly growing Agentic AI market.

FortifAI’s recent appointments of experienced technology leaders to its advisory board underscore its commitment to scaling Nol8’s commercial footprint. The company’s FPGA-accelerated approach has previously demonstrated substantial cost savings and performance advantages over traditional CPU-based solutions, positioning it well against escalating AI data demands.