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NVIDIA Launches Large Language Model Cloud Services

NVIDIA today announced two new large language model cloud AI services — the NVIDIA NeMo Large Language Model Service and the NVIDIA BioNeMo LLM Service — that enable developers to easily adapt LLMs and deploy customized AI applications for content generation, text summarization, chatbots, code development, as well as protein structure and biomolecular property predictions, and more.

Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022

The latest research on vector databases from Zilliz, a leading vector database company and the inventor of Milvus, was featured at the 48th International Conference on Very Large Databases (VLDB 2022). The paper, titled “Manu: A Cloud Native Vector Database Management System,” explains Manu, the project name for Milvus 2.0, as a cloud-native, next-generation vector database that implements long-term evolvability, tunable consistency, good elasticity, and high performance.

Are You Ready to Commit to the Cloud? 5 Things to Consider Before Taking the Plunge

In this contributed article, Kiran Bhageshpur, CTO, Qumulo, offers 5 important points of consideration when determining whether it’s time to commit to the cloud. Entering into a new technology partnership can be daunting. We ask ourselves: Am I ready for this commitment? Will this help my enterprise grow into the organization it dreams to be? Starting something new challenges us to both self-reflect and look into the future to examine our ultimate goals and needs. 

How to Optimize the Modern Data Stack with Enterprise Data Observability

In this sponsored post, our friends over at Acceldata examine how in their attempt to overcome various challenges and optimize for data success, organizations across all stages of the data journey are turning to data observability where they can get a continuous, comprehensive, and multidimensional view into all enterprise data activity. It’s a critical aspect of optimizing the modern data stack, as we’ll see. 

Report: New Data Management Models Are Essential To Operate In The Cloud

As organizations increasingly embrace cloud-first principles and the quantity and variety of their data exponentially increases, Capital One’s new Forrester study finds the vast majority of data management decision-makers are deeply concerned about controlling and forecasting data costs, leveraging data at scale, addressing data quality and consistency, and better protecting data.  

Cloudera Launches All-in-One Data Lakehouse Cloud Service

Cloudera, the hybrid data company, announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. A simple yet powerful cloud service, only CDP One has built-in enterprise security and machine learning (ML) that requires zero cloud, security or monitoring operations staff for lower TCO and reduced risk.

Video Highlights: JuliaHub – The Best Way to Run Large Scale Computing in the Cloud

JuliaHub helps you read, write, run and share Julia code and applications. JuliaHub is the quickest, easiest on-ramp to leverage Julia – the fastest, easiest, and most powerful scientific, mathematical, and statistical computation language yet.

Domino Data Lab Announces Hybrid MLOps Architecture to Future-Proof Model-Driven Business at Scale

Domino Data Lab, a leading Enterprise MLOps platform trusted by over 20 percent of the Fortune 100, announced its new Nexus hybrid Enterprise MLOps architecture that will allow companies to rapidly scale, control and orchestrate data science work across different compute clusters — in different geographic regions, on premises, and even across multiple clouds.

WEKA Unveils Industry’s First Multicloud Data Platform for AI  and Next Generation Workloads

WEKA, the Data Platform for AI company, unveiled the fourth  generation of its software-based solution that delivers first to market results with artificial intelligence (AI),  machine learning (ML) and other next generation workloads via a single, scalable, highly performant platform for hybrid cloud and edge environments – now available in any public clouds of their choosing.  

Optimizing Data Integration to Enable Cloud Data Warehouse Success

In this contributed article, Mark Gibbs, Vice President of Products at SnapLogic, looks at best practices for data integration success, shares advice on how to optimize your CDW investments, and reviews common issues to avoid during the process. Data integration comes enables the CDW by mobilizing your data and automating the business processes that drive your business to deliver deep data insights and increase time to value.