{"id":62168,"date":"2026-03-18T16:37:06","date_gmt":"2026-03-18T13:37:06","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/milestone-systems-hafnia-synthetic-data-nvidia-gtc\/"},"modified":"2026-03-18T16:37:06","modified_gmt":"2026-03-18T13:37:06","slug":"milestone-systems-hafnia-synthetic-data-nvidia-gtc","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/milestone-systems-hafnia-synthetic-data-nvidia-gtc\/","title":{"rendered":"Milestone Systems Expands Hafnia with Synthetic Data and Training-as-a-Service at NVIDIA GTC"},"content":{"rendered":"

Milestone Systems introduced Hafnia synthetic data<\/a> capabilities and a forthcoming Training-as-a-Service offering at NVIDIA GTC in San Jose, enabling developers to train vision AI models for rare and previously unseen scenarios alongside real-world conditions.<\/p>

The Hafnia platform connects data curation, model training, and deployment in a single environment. Developers can use it to reduce dataset bias and build computer vision models for smart city<\/a> applications. The platform now integrates NVIDIA’s Physical AI Data Factory Blueprint as its reference architecture.<\/p>

Hafnia Synthetic Data Addresses Real-World Gaps<\/h2>

AI systems typically learn from historical data, which often underrepresents rare weather conditions, unusual traffic patterns, and region-specific vehicle types. Hafnia addresses this limitation by integrating synthetic data into its curated real-world video library through NVIDIA Cosmos Transfer.<\/p>

The synthetic augmentation layer gives developers access to data covering rare or dangerous situations, balanced object classes, regional and environmental variations, and systematically reduced dataset biases. Milestone stated that synthetic data enhances rather than replaces the platform’s real-world foundation, preserving authenticity, compliance, and annotation quality.<\/p>

“Together with NVIDIA, we are taking Hafnia to the next level by combining trusted real-world data with synthetic augmentation. This enables developers to train AI models that are not only accurate in known situations, but also resilient in the unexpected.”<\/p>Edward Mauser, Director of Hafnia, Milestone Systems<\/cite><\/blockquote>

Training-as-a-Service Previewed at GTC<\/h2>

Milestone previewed its upcoming Training-as-a-Service at the conference. The offering provides developers with a direct path from Hafnia’s data library to training infrastructure, removing the need to manage fragmented data pipelines. Developers can customize datasets and fine-tune models for specific use cases within their own training environments.<\/p>

Because all data within Hafnia’s library is compliantly sourced and fully traceable, developers can train models with confidence regarding regulatory compliance. Milestone stated the service can accelerate the development of analytics solutions by up to 30 times by reducing data management complexity.<\/p>

VLM-as-a-Service Performance Results<\/h2>

In partnership with NVIDIA, Hafnia also offers VLM-as-a-Service, a suite of Visual Language Models built on NVIDIA Cosmos Reason models and optimized for smart city<\/a> environments. At GTC, Milestone stated the availability of a new EU-optimized VLM for traffic analysis, already deployed with selected European cities.<\/p>

Performance evaluations show measurable improvements over base models across three metrics.<\/p>