Myth busting: The Truth About Disaggregated Storage 

In this contributed article, Scott Hamilton, Senior Director, Product Management & Marketing at Western Digital, shows that for large enterprises, CDI enables the intelligent allocation of dynamic resources and that’s a must for controlling costs, boosting performance, optimizing IT resources and maximizing efficiency. However, the rise of any technology often generates some confusion, and this piece will dispel some myths around disaggregated storage.

Pinecone Announces New Features to Lower the Barrier of Entry for Vector Search

Pinecone Systems Inc., a search infrastructure company, announced the release of new features and enhancements that make it significantly easier for developers — regardless of AI or ML experience and background – to get started with vector search for applications such as semantic search and recommendation systems. New features include up to 10x faster indexes, flexible collections of vector data, and zero-downtime vertical scaling.

Infographic: How EDI has Impacted Different Industries

Our friends over at A3logics, a software and app development company based in the USA, recently created an infographic on the topic of “How EDI has impacted different industries.” EDI is trending and is expecting significant future growth.

Don’t Call It A “Data Product” Unless It Meets These 5 Requirements

In this special guest feature, Barr Moses, Co-founder and CEO of Monte Carlo, believes data products can transform an organization’s ability to be data-driven as long as they meet 5 key requirements. Data products can transform an organization’s ability to be data-driven, as long as they are implemented correctly and in good faith.

Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing

Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.

NVIDIA Networking Solutions – Unlock the full potential of your Data Center

[SPONSORED POST] NVIDIA® is the leader in accelerated networking solutions and a pioneer in new advancements such as the Data Processing Unit (DPU) which is why PNY is proud to become an NVIDIA networking product partner carrying and supporting NVIDIA’s entire Ethernet and InfiniBand end-to-end product suites. In this article, we highlight four PNY videos available on our YouTube channel that showcase the benefits of each NVIDIA networking product category.

Solving The Staging Data Problem

In this contributed article, Senthil Padmanabhan, Vice President, Technical Fellow at eBay, discusses how eBay has built a successful staging environment for its developers in terms of details surrounding the benefits of having a staging environment, why it should exist as well as addressing the infrastructure instability problem and hardware refreshes.

Data Fabric: The Right Remedy for an Unhealthy Cloud

In this special guest feature, Krishna Tammana, Talend CTO, digs into why data fabric is seeing hype now, versus 10 years ago during the big data boom, and how companies can actually take advantage of this technology. Data fabric is a 2021 Gartner Hype Cycle emerging technology. But 78% of companies still struggle to be data-driven.

NVIDIA Announces Hopper Architecture, the Next Generation of Accelerated Computing

To power the next wave of AI data centers, NVIDIA today announced its next-generation accelerated computing platform with NVIDIA Hopper™ architecture, delivering an order of magnitude performance leap over its predecessor. Named for Grace Hopper, a pioneering U.S. computer scientist, the new architecture succeeds the NVIDIA Ampere architecture, launched two years ago.

The Looming Datacenter Paradigm Shift

In this contributed article, Jonathan Friedmann, CEO & Co-Founder of Speedata, discusses a paradigm shift that is already underway. CPU’s leading role in datacenters is no longer a given, and as database workloads grow increasingly varied, market forces will point more and more in a clear direction: the development of new, dedicated, accelerated solutions. Data workloads are only going to grow more diverse and intricate from here. The same holds true for the chips that will process them.