EGUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
EZINE:
In this week's Computer Weekly, we find out how the UK's power networks need to be digital transformed to be ready for renewable energy – and the role of open source. Wi-Fi 6 was meant to give a boost to wireless connectivity – we examine why adoption has stalled. And we look at what a quantum datacentre might be like. Read the issue now.
EZINE:
In this week's Computer Weekly, we examine how the shift to cloud services and the need to deal with a hybrid workforce have changed modern IT. The emerging area of computational storage promises performance boosts for demanding workloads – we look at the challenges. And we find out how Zoom plans to exploit GenAI. Read the issue now.
EGUIDE:
The term hyper-convergence means different things to different people. But at its core, hyper-convergence brings together servers and storage network resources that are managed as a single unit using software. In this e-guide, learn more about the benefits of hyper-convergence and how you can derive the greatest value from your investment.
EZINE:
In this first issue of CW Nordics in 2017, we take a look what CIOs in the region are expecting in the year ahead. We asked a select group of CIOs and analysts in Denmark, Finland, Norway and Sweden what IT projects are at the top their priority lists.
EGUIDE:
Startup Hammerspace is taking aim at data silos to give companies access to their unstructured data whenever and wherever they need it across on-premises and public cloud sites. Download this e-book to learn more about Hammerspace, their product, and competitors.
EGUIDE:
This expert guide dispels cost and hardware longevity concerns regarding using SSDs to support HCI platforms, highlighting 3 critical advantages flash brings to HCI. Read on to learn how to maximize your HCI investment.
WEBCAST:
In this webcast, Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy discuss how to evolve your storage to support AI workloads and meet changing performance demands. Tune in for the takeaways and to learn why scale-out file systems are often recommended to support AI workloads.
WEBCAST:
In the following custom webcast, two experts dig into the storage challenges associated with supporting AI and machine learning workloads. Join here for the details and for a first-hand look at a solution that provides the performance, reliability, and scalability these workloads require.
