FortifAI’s NOL8 AI Data Plane has proven its scalability and economic edge in global live tests across the Megaport network, outperforming legacy software by a wide margin in data governance and latency.
- NOL8 V1.0 tested live across US, Sydney, Tokyo
- Achieved near-zero latency and byte-for-byte data accuracy
- Governed 10X more data per infrastructure dollar than legacy software
- Demonstrated consistent performance across continents
- Plans underway for global scaling with design partners
Global Validation of NOL8’s AI Data Governance
FortifAI Limited (ASX:FTI) has taken a significant step in proving the commercial viability of its NOL8 AI Data Plane with a comprehensive multi-continent live test across Megaport’s private network. Spanning Virginia, Sydney, and Tokyo, the tests demonstrated that NOL8 can deliver agentic AI data workflows at near-zero latency with flawless data governance, matching outputs byte-for-byte regardless of geography.
This global validation is critical for enterprises running Private AI workloads who demand consistent governance policies across clouds and data centres. By leveraging Megaport’s ecosystem of hyperscalers and NeoCloud GPU providers, NOL8 enables seamless policy enforcement wherever AI workloads reside, removing a major barrier to distributed AI infrastructure adoption.
Technical and Economic Superiority Over Legacy Software
Performance metrics from the tests reveal a striking advantage for NOL8 over traditional CPU-based software. The platform governed data at a rate of 34 terabytes per day, compared to just 2.6 terabytes for legacy solutions, a more than 10-fold increase in throughput. Remarkably, this performance held steady even as governance policies grew by 400%, highlighting NOL8’s robust scalability.
Latency was measured at 3 milliseconds within regions, consistent with previous benchmarks, with intercontinental delays only attributable to physical distance. The tests also showed that NOL8 can offload up to 64% of data before it reaches GPUs, effectively boosting GPU utilisation by up to 2.8 times per megawatt of power consumed. This efficiency translates into a substantial cost advantage, with NOL8 delivering over 10 times more governed data per dollar of infrastructure than legacy CPU software.
Scaling Ambitions Backed by Design Partners
With these results in hand, FortifAI is accelerating plans to scale the NOL8 V1.0 platform globally alongside design partners across the Megaport network. While timing and conversion remain subject to partner agreements, the company is positioning NOL8 as a foundational technology for enterprises seeking cost-effective, private, and flexible AI data governance.
Kelly Herrell, FortifAI’s CEO, emphasised the significance of consistent, cost-effective governance across cloud providers and private connections as a key enabler for scaling. Meanwhile, Megaport CEO Michael Reid highlighted the growing industry demand for private data movement solutions that maintain governance across distributed AI infrastructure.
Bottom Line?
FortifAI’s NOL8 has proven its technical and economic edge in live global conditions; the next challenge is converting design partnerships into widespread enterprise adoption.
Questions in the middle?
- How quickly will FortifAI convert design partners into paying customers?
- Can NOL8 maintain its cost and performance advantage as workloads and policy complexity grow?
- Will competitors respond with similar multi-continent governance solutions leveraging private networks?