Generative AI

Generative AI (GenAI) is a branch of artificial intelligence that uses deep learning to create new content such as text, images, audio, and videos. A key component of GenAI is the training stage, which requires continuous, real-time input of large volumes of data to keep the models updated and accurate.

Today’s real-time GenAI models leverage data streaming technologies to manage and deliver training input.
These technologies help to build data pipelines for real-time, domain-specific data to create more accurate models.

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Minimize the learning curve of Apache Kafka API compatibility when adding Pulsar advantages to GenAI

Simplify your data architecture with a unified data platform that manages data for both traditional and real-time model training

Easily scale out with a decoupled compute and storage architecture to manage and deliver the large data volumes that GenAI requires

Eliminate operational disruptions associated with data rebalancing due to node failures, varying workloads, and the number of client connections

Quickly validate models using Pulsar Functions to run complex computing jobs in a parallelized and serverless manner across all nodes in the cluster.

Reduce the overhead of data silos by consolidating data sources with Pulsar multi-tenancy capabilities

Gen AI Case Studies

Customer Stories | 10 min

Contextual: Creating cost-effective multi-tenant AI orchestration platforms with StreamNative

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Webinar | 1 hour

Harnessing Real-Time Data Streams with StreamNative and Databricks

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Blog post | 10 min

Streaming Data into the Future of Generative AI

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Why ONE StreamNative Platform

Ensure that the right data, especially domain-specific data for your specialized Generative AI models, is available at the right place and time by routing relevant data streams anywhere they’re needed in the business, all in real-time. This helps build real-time, contextualized, and trustworthy knowledge base for your Generative AI applications.

Stream

Our optimized data streaming architecture takes center stage. Ursa, ensures that data streams efficiently, enabling seamless scalability at a fraction of the cost.

Cluster Autoscaling

Connect

With built-in connectors and APIs, StreamNative Platform empowers you to effortlessly integrate data from diverse sources.

Source Connector

Secure

Security compliant with SOC2, ISO27001, HIPAA, and more. With features like Role-Based Access Control (RBAC) and encryption, your data remains protected at every step.

Deploy Everywhere

Available on all major cloud providers, including AWS, GCP, and Azure, our platform offers flexible deployment options, from fully managed Hosted services to BYOC (Bring Your Own Cloud) and Private Cloud deployments.

AWS ComponentsMicroSoft ComponentsCloud Component
BYOC Cloud Deployment

“Compared to a managed Kafka solution where partitions were fixed and additional partitions cost more money, StreamNative gave us the ability to dynamically allocate partitions to our clients without incurring significant additional cost. This allows us to go-to-market with a multi-tenant solution where new topics and partitions can be easily created for each new customer without breaking the bank.”

Andrew Brook, CEO of Contextual

Speed Up Your Path to GenAI with
StreamNative + Partners

Explore each partner's logo to discover how we collaborate on GenAI
implementations.

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