NVIDIA powers QCT GenAI Dev Kit to accelerate customized GenAI use cases

Despite generative AI’s (GenAI) benefits of enhanced efficiency, decision-making, and innovation, many organizations struggle to fully leverage its capabilities. According to Bain & Company, 44% of executives attribute slow AI adoption to the lack of in-house expertise; this issue may persist for a while as demand for AI skills has grown 21% annually since 2019.  

At the same time, the demanding computing requirements that AI and GenAI systems require mean that organizations must increase their IT budgets significantly.  

These two challenges combined pose quite a hurdle for organizations to scale and maximize GenAI’s full potential for their business. 

Driving GenAI adoption at scale with ease 

Understanding these roadblocks, cloud infrastructure provider Quanta Cloud Technology leveraged NVIDIA AI Enterprise ​software​ to help customers deploy generative AI (GenAI) solutions across a range of infrastructures, including virtualized environments and private clouds in corporate data centers.  

The QCT GenAI Dev Kit is a flexible tool that gives customers options, whether they require a front-end graphical user interface (GUI) and backend GenAI services with AI servers for complete end-to-end integration, or just the API of the backend GenAI service.  

QCT solutions are also equipped to support LLM model expansions. This includes leveraging NVIDIA NIM™, a set of easy-to-use microservices for secure, reliable deployment of high-performance AI model inferencing. With this, users can create their knowledge base to enhance their GenAI capabilities and fine-tune existing models to create specific AI services. NVIDIA TensorRT™ can also be used to accelerate AI performance with optimized inference. 

Through these flexible and scalable solutions, QCT empowers organizations to overcome AI adoption barriers and accelerate their GenAI journey. The customizable approach of the QCT GenAI Dev Kit ensures that businesses can seamlessly integrate AI into their workflows and bring them from pilot to scale effortlessly.  

QCT & NVIDIA

Choosing the right AI solution for maximum impact 

Building an AI solution is hardly a straightforward task, and enterprises can choose different paths to achieve their goal.  

The first is to create a GenAI workflow from scratch. This option is often quite time-consuming and requires investment in hiring AI experts and data analysts. Experts are required to train and infer the flow development before designing the model architecture. Then, they will need to define the problem and the desired input-output relationships.  

This entire journey is not only time-consuming but rigid, since any changes to the problem statement may require reworking the entire framework, adding further complexity and delays. 

A workaround is for organizations to purchase pre-developed solutions. However, these solutions are often very costly, as they typically come with limited customization, vendor lock-in, and ongoing licensing fees. This is especially unsuitable for businesses with unique use cases or on tighter budgets.  

In collaboration with NVIDIA, the QCT GenAI Dev Kit enables customers to deploy GenAI across a wide range of infrastructures with flexibility. Advantages of the Dev Kit include: 

• Being a code-free AI platform: With a no-code GUI, AI use case development, deployment, and proof of concept (PoC) are simplified. 
• Effortless AI customization: This shortens the development journey for AI use cases and speeds up the PoC process. 
• Private and secure: The Dev Kit runs on a private server, which means all of the organization’s data remains local and under their full control. 
• Consultant service: Businesses can fulfil all of their requirements or troubleshoot any issues with a consultant available at all times. 

Business needs evolve with the landscape, and AI solutions must be just as adaptable to keep pace. By investing in AI solutions that can pivot alongside changing business requirements, organizations can drive innovation, enhance efficiency, and maintain a competitive edge in an increasingly AI-driven world.