Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
With the emergence of generative AI and Retrieval Augmented Generation (RAG), there has been growing demand for vector capable databases.
One particular challenge of vector database deployment is that for some use cases organizations don’t want to deploy entirely on a cloud Database-as-a-Service (DBaaS) and would rather control the database themselves. That’s the challenge that DataStax is looking to solve with its Hyper-Converged Data Platform (HCDP) which is being announced as a preview technology today.
DataStax develops commercial services that are based on the open source Apache Cassandra database as well as streaming capabilities based on the open source Apache Pulsar technology. The company has increasingly been moving over the past year to provide vector database search and RAG capabilities to help enable gen AI deployments. The new Hyper-Converged Data Platform (HCDP) aims to provide organizations with a modern data platform that can be deployed across cloud, on-premises and edge environments
“HCDP brings together our next generation Cassandra database, streaming capabilities, and open search functionality into a single platform,” Bill McLane, CTO of Cloud at DataStax, told VentureBeat.
VB Event
The AI Impact Tour: The AI Audit
Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
Request an invite
What is a Hyper-Converged Data Platform?
The term Hyper-Converged Infras …
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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
With the emergence of generative AI and Retrieval Augmented Generation (RAG), there has been growing demand for vector capable databases.
One particular challenge of vector database deployment is that for some use cases organizations don’t want to deploy entirely on a cloud Database-as-a-Service (DBaaS) and would rather control the database themselves. That’s the challenge that DataStax is looking to solve with its Hyper-Converged Data Platform (HCDP) which is being announced as a preview technology today.
DataStax develops commercial services that are based on the open source Apache Cassandra database as well as streaming capabilities based on the open source Apache Pulsar technology. The company has increasingly been moving over the past year to provide vector database search and RAG capabilities to help enable gen AI deployments. The new Hyper-Converged Data Platform (HCDP) aims to provide organizations with a modern data platform that can be deployed across cloud, on-premises and edge environments
“HCDP brings together our next generation Cassandra database, streaming capabilities, and open search functionality into a single platform,” Bill McLane, CTO of Cloud at DataStax, told VentureBeat.
VB Event
The AI Impact Tour: The AI Audit
Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
Request an invite
What is a Hyper-Converged Data Platform?
The term Hyper-Converged Infras …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]