## 1 Introduction
The need to cope with several applications has a large impact on the need to create an intelligence-at-the-edge environment that can adapt to varying demands and different requirements proactively. To this end, NS is a perfect tool, enabling the possibility of logically managing network resources from both the communication and processing points of view, thus the possibility of providing several services in a flexible way at the same time [18]. In this environment, we focus on the proposed framework, where different DL algorithms, each tailored to specific requirements, can be deployed, allowing the possibility of managing heterogeneous intelligent services simultaneously. Although in the landscape of advanced 6G technologies for integrated T/NTN the literature highlights advancements, a comprehensive integration of DL techniques with NS in the IoV context is underexplored. Our motivation stems from the identified gaps in recent works, leading us to propose a DL-as-a-Service (DLaaS) framework for vehicular environments within 6G NTN scenarios. The existing literature focuses on specific aspects, but a holistic framework that seamlessly integrates DL, NS, and distributed computing/communication methods for proactive delivery of intelligent services is missing. Our main contributions include:  
* **Comprehensive Analysis:** We conduct an in-depth exploration of key technological innovations and various DL methods, laying the groundwork for subsequent developments. * **DLAaS Framework:** We introduce an innovative DLaaS framework, representing a paradigm shift that seamlessly integrates DL, NS, and distributed computing/communication methods. * **Adaptation for IoV:** We elucidate the adaptation of the framework specifically for IoV applications, revealing its potential in shaping the future of intelligent vehicular networks. * **Case Study and Performance Analysis:** We provide a detailed case study and performance analysis, offering empirical evidence of the efficacy and practical implications of DLAaS in real-world scenarios. Finally, we will see that our proposed DLAaS approach offers advantages in terms of enhanced performance, flexibility, scalability, and intelligence, thus addressing the identified gaps and contributing to the evolution of intelligent vehicular communication systems. To elaborate more on our proposal, Section 2 delves into a meticulous analysis of key technological innovations alongside various DL methods, laying the foundation for our subsequent developments. Section 3 introduce the innovative DLAaS framework. This framework represents a paradigm shift that seamlessly integrates DL, NS, and distributed computing/communication methods. Integration empowers the proactive delivery of intelligent services to users, fostering a dynamic environment that caters to diverse and evolving requirements. Furthermore, we elucidate the adaptation of this framework specifically for IoV applications, unveiling its potential in shaping the future of intelligent vehicular networks. This section also provides a nuanced examination of both the challenges and advantages associated with the DLAaS framework. The culmination of our exploration is presented in Section 4, where we present a detailed case study accompanied by a performance analysis. This case study serves as a tangible demonstration that illustrates the advantages that the DLAaS approach offers in terms of flexibility, performance enhancement, and infusion of added intelligence into vehicular communication systems. Through this detailed study, we not only contribute to the theoretical framework but also provide empirical evidence of the efficacy and practical implications of DLAaS in real-world scenarios.