Nexla and NVIDIA: Essential for AI Success

Combining the simplicity and agility of Nexla with the performance and scalability of NVIDIA

Today’s AI-driven world is like a digital coliseum—only the swiftest and most innovative will emerge victorious. 

As businesses navigate this brave new world, AI has emerged as the new lifeline ensuring survival and prosperity in a harshly competitive environment. The urgency to adopt AI and leverage it for core business processes is palpable, representing a seismic shift poised to redefine business operations as we know them.

Data indicates 72% of Enterprises plan to transition from AI experimentation to full-scale execution by 2025. But it has not been easy. Most companies are struggling to succeed, and the majority rely on outside expertise. Integration has been one of the top technical challenges.  This is no longer about gaining a competitive edge; it’s about future-proofing your business to stay afloat in an ocean that rewards the technologically adept and drowns the laggards. 

The message is clear: leverage AI or risk becoming obsolete. Time is of the essence in this high-stakes race, and the stakes have never been higher.

Nexla’s Role in Streamlining Data Integration

As businesses clamor to integrate AI into their core operations, data is the first hurdle they encounter. You can’t have good AI without good data. Data must be curated and governed efficiently to unlock AI’s transformative potential. Nexla is at the forefront of this challenge, offering a seamless solution that simplifies data integration, governance, and retrieval.

Nexla’s data integration platform gives businesses the tools to integrate and prepare any kind of data for any source, utilize different AI models, and leverage the latest techniques in GenAI including Retrieval Augmented Generation (RAG), all without having to code.

The Power of NVIDIA in Accelerating AI 

While Nexla simplifies and streamlines the data pipelines that feed AI, NVIDIA accelerates AI. Renowned for its cutting-edge technology, NVIDIA provides the computational power that transforms AI ambitions into a cost-effective and very fast reality. With its NIM microservices, NVIDIA accelerates core GenAI computing steps, allowing companies to deploy cost-effective, responsive AI models that support real-time applications.

AI Be NIMble, AI Be Quick

Gartner says that by 2027, AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60%, enabling self-service data management and supercharging organizations’ AI initiatives.

This is exactly what the Nexla and NVIDIA collaboration partnership has delivered today. The synergy between Nexla’s agility and NVIDIA’s computational muscle is a game-changer. 

Together, we will help more companies move AI into production. By making NVIDIA’s NIM microservices directly accessible within the no-code Nexla environment, we’ve made it possible for a much larger group of citizen developers to build, manage, and succeed in deploying GenAI RAG projects faster. 

See how Nexla and NVIDIA work together in our detailed blog post.

Scaling AI for Business Operations

Agility and performance are not enough. AI is dealing with unprecedented volumes of data and computational scale. Nexla is already proven to scale across analytical, operational, and B2B data sharing pipelines. By combining Nexla’s built-in data integration and GenAI RAG functionality with NVIDIA’s accelerated computing, companies have been able to take performance and scalability to the next level. 

But what does this mean in practical terms? It means that organizations can reduce run-time latency and costs and build more accurate and efficient AI models. Whether a company is just beginning its GenAI journey or looking to scale existing applications, Nexla and NVIDIA provide the foundation needed for success at any scale. 

Future-Proofing GenAI

As the digital age marches forward, integrating AI into mission-critical applications is no longer optional—it’s a non-negotiable imperative for future scalability. You have to act now. But the only constant in AI is rapid change. AI technologies are changing so fast that whatever you choose to use today can quickly become outdated. 

In short, the wrong RAG pipeline can quickly become a DRAG on innovation. You need to make sure that you can easily replace any part of your AI technology stack to remain competitive. 

Nexla and NVIDIA’s collaboration future-proofs your AI applications. You can now combine many sources of data, populate different vector databases to support GenAI RAG, and use several AI models–all as part of the same pipeline without coding. You can even run multiple models side by side, rank the results, and choose the most accurate result every time.

Happy Holidays! As you think about your New Year’s resolution to move AI into production in 2025, rest assured that you now have at least one simple option.

Schedule a demo and experience the power of hardware-accelerated GenAI tailored to your business needs.