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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.

XOps: The Rise of Smarter Tech Operations

In this contributed article, Arvind Prabhakar, CTO of StreamSets, discusses how XOps has become a growing data analytics trend in 2021 for good reason. Evolved from the DevOps movement to better support and enable AI and ML automation workflows, XOps enables organizations to operationalize data and analytics to drive greater business value and establish a solid yet flexible foundation for future technology development.

The insideBIGDATA IMPACT 50 List for Q1 2022

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, […]

Big Data Industry Predictions for 2022

Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an

AWS Announces General Availability of Amazon EC2 DL1 Instances

Amazon Web Services, Inc. (AWS), an, Inc. company (NASDAQ: AMZN), announced general availability of Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances.

DevOps vs. DataOps: What’s the Difference?

In this special guest feature, Itamar Ben Hemo, CEO of Rivery, discusses commonalities and differences between DevOps and DataOps. Many assume, understandably, that DataOps is simply “DevOps for data.” Although the two frameworks have similar names, DevOps and DataOps are not the same methodology. However, the two frameworks do share many common principles.