In this contributed article, Rob Gibbon, Product Manager at Canonical, suggests that data engineers typically know what they need to get done. The problem is that their environment doesn’t always make it easy. If you’re working on premise, it can be hard to get data-intensive solutions off the ground quickly. However, cloud solutions come with lock-in and unpredictable pricing. The game-changer in this scenario is a hybrid solution that will allow you to accelerate data engineering.
Search Results for: data center
Why Accelerating Data Engineering Across Public Clouds and Private Data Centers is a Game Changer
April 15, 2024 by
DDN AI400X2 Turbo Appliance Accelerates Gen AI and Inference for Data Center and Cloud by 10x
March 20, 2024 by
DDN®, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.
Data Center and Infrastructure Report: Trends and Insights for 2023
March 28, 2023 by Leave a Comment
Service Express surveyed over 900 IT professionals to identify the priorities, challenges and decision drivers impacting data center strategies. Find helpful insights and more in this fifth annual report. The global shift in health, business and technology is still shaping IT landscapes. Leaders continue to evolve strategies to address supply chain disruptions, security threats, performance […]
AMAX Launches GPU Servers Powered by Intel’s Newest Data Center GPU Flex Series for AI, Gaming, & Media Streaming
September 3, 2022 by
AMAX, a leading provider of turnkey rack-scale High Performance Computing (HPC) solutions, Deep Learning/AI applications and server appliance manufacturing, announces the new AceleMax X-122-Flex server solution featuring Intel’s next-generation Data Center GPU Flex Series, (formerly code-named Arctic Sound-M), providing the capability of a graphics processing (GPU) solution handling high density and complex workloads targeted towards media delivery, cloud gaming, AI, metaverse, and other emerging visual cloud use cases.
NVIDIA Networking Solutions – Unlock the full potential of your Data Center
April 25, 2022 by
[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.
NVIDIA DGX Station A100 Offers Researchers AI Data Center-in-a-Box
November 16, 2020 by
NVIDIA today announced the NVIDIA DGX Station™ A100 — the world’s only petascale workgroup server. The second generation of the groundbreaking AI system, DGX Station A100 accelerates demanding machine learning and data science workloads for teams working in corporate offices, research facilities, labs or home offices everywhere.
Data Centers Get a Performance Boost From FPGAs
August 15, 2019 by
With the advent of next generation workloads, such as Big Data and streaming analytics, Artificial Intelligence (AI), Internet of Things (IoT), genomics, and network security, CPUs are seeing different data types, mixtures of file sizes, and new algorithms with different processing requirements. Hewlett Packard Enterprise’s Bill Mannel explores how as big data continues to explode, data centers are benefitting from a relatively new type of offload accelerator: FPGAs.
Uptime Assurance through the Mobilization and Augmentation of Data Center IT Teams with Artificially Intelligent Applications
May 3, 2019 by
In this contributed article, AJ Byers, CEO of ROOT Data Center, discusses how AI technology was implemented in ROOT Data Centers since it was initially deployed in early 2018. Since then, over 250 hours and 3,000 training sessions have been completed to gather the data necessary for the AI persona. As a result, ROOT compiled the case study below covering how they achieved these processes.
How to Get to the Data-Enabled Data Center
March 11, 2019 by
Despite their many promising benefits, advancements in Artificial Intelligence (AI) and Deep Learning (DL) are creating some of the most challenging workloads in modern computing history and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled data center must be able to concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, training and inference.
