Today's Edition
ABU DHABI (ALETIHAD)
The Technology Innovation Institute (TII), a leading global research centre headquartered in Abu Dhabi, has announced that its next-generation open-source language model, Falcon-H1, will be available as a NVIDIA Inference Microservice (NIM), a move that significantly enhances the model’s enterprise deployment potential.
Launched in parallel with NVIDIA’s GTC showcase in Paris, the initiative positions Falcon-H1 for immediate integration across cloud, on-premise and hybrid environments, a statement from TII said.
The availability of Falcon-H1 on NIM will enable developers to deploy it with production-grade performance, bypassing the need for complex infrastructure customisation.
“Falcon-H1’s availability on NVIDIA NIM reflects our ongoing leadership in shaping the future of open, sovereign, and cross-domain deployment-ready AI. It demonstrates that breakthrough innovation from our region is not only competitive on the global stage – it’s setting new benchmarks for scalable, secure, and enterprise-ready AI,” said Dr. Najwa Aaraj, CEO of TII.
Falcon-H1 is built on an innovative hybrid Transformer–Mamba architecture, blending the efficiency of state space models (SSMs) with the advanced reasoning power of Transformer networks. This design supports context windows of up to 256,000 tokens, enabling long-context reasoning and high-speed inference with reduced memory overhead. Its multilingual design ensures competitive performance across both high- and low-resource languages.
According to Dr. Hakim Hacid, Chief AI Researcher at TII, “Falcon-H1’s availability on NVIDIA NIM bridges the gap between cutting-edge model design and real-world operability. It combines our hybrid architecture with the performance and reliability of NVIDIA microservices. Developers can integrate Falcon-H1 optimised for long-context reasoning, multilingual versatility, and real-world applications. What once required weeks of infrastructure tuning becomes achievable in minutes at scale, with multilingual depth, and production resilience.”
The integration with NVIDIA’s NeMo microservices and AI Blueprints adds full lifecycle tooling for tasks such as data curation, safety guardrails, and post-deployment optimisation. This makes Falcon-H1 a fit for regulated and latency-sensitive AI deployments, further enhancing its credentials as a sovereign AI solution.
With over 55 million downloads, the Falcon model family is among the most widely adopted open-source AI efforts from the Middle East. TII’s alignment with NVIDIA’s enterprise-grade deployment frameworks affirms Falcon-H1’s status as a production-ready, sovereign AI alternative to proprietary systems.
