Accelerate Your AI Journey with Nexla + NVIDIA

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

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FAQ: Nexla and NVIDIA Integration

Q1: What is the intent of this integration from Nexla’s perspective?

The goal is to help enterprises take their Generative AI (GenAI) ideas into production, scale efficiently, and ensure reliability. Nexla addresses challenges related to scale, governance, security, and cost.

Q2: What challenges are enterprises facing that this integration solves?

Scale and Governance: Handling billions of documents, charts, and complex data requires significant orchestration and compute power.
Security: Enterprises want to run models in their own environments without data leaving their systems.
Ease of Use: Nexla simplifies the process, enabling end users to allocate GPU resources without managing the technical complexities.

Q3: How does Nexla’s integration with NVIDIA work?

Nexla acts as the orchestrator and “plumbing” layer, allowing enterprises to process data, extract insights, and allocate GPU resources efficiently. NVIDIA adds the power, scale, and enterprise-grade security needed to handle large AI workloads.

Q4: What friction were NVIDIA customers experiencing, and how does Nexla solve it?

NVIDIA customers struggled with figuring out individual steps, such as running inferences at scale. Nexla simplifies this process by providing a clear framework and orchestration, removing technical complexity.

Q5: How is the integration delivered to customers?

NVIDIA has brought Nexla in as a reseller and partner.
Customers can take advantage of the integration even if they are only Nexla customers. Licensing, availability, and resource allocation are handled seamlessly by Nexla.

Q6: Does this integration cost extra?

The NVIDIA integration is an optional add-on to the Nexla subscription. It is designed to reduce friction, provide advanced technology access, and help customers move faster.

Q7: Why was this integration developed?

Customers, like Johnson & Johnson, requested more power and security for running models in their own environments. Nexla’s mission is to make data easier to consume and enable enterprise-grade solutions.

Q8: Does Nexla have other similar integrations?

Yes, while this integration with NVIDIA is unique due to NVIDIA’s dominance in powering AI, Nexla has also partnered with companies like Pinecone, Google Gemini, and AWS. Building enterprise solutions often requires collaboration across multiple technologies, and Nexla simplifies this process.

Q9: How has Nexla evolved to support AI and vectorization capabilities?

Nexla started with a focus on data integration and the consumer experience. Early last year, Nexla introduced vectorized connectors to simplify extracting insights from documents, charts, and complex data. Nexla generates connectors automatically, making AI workflows more accessible.

Q10: What’s next for Nexla?

Nexla will continue improving its AI tooling, focusing on:
GenAI Capabilities: Enhancing data plumbing and enabling sensitive information removal.
Agentic AI: Supporting AI-driven workflows that take actions in production environments.
Governance and Monitoring: Ensuring enterprises can scale their AI solutions securely and efficiently.