Close Menu
TechCentralTechCentral

    Subscribe to the newsletter

    Get the best South African technology news and analysis delivered to your e-mail inbox every morning.

    Facebook X (Twitter) YouTube LinkedIn
    WhatsApp Facebook X (Twitter) LinkedIn YouTube
    TechCentralTechCentral
    • News

      World Bank set to back South Africa’s big energy grid roll-out

      20 June 2025

      The algorithm will sing now: why musicians should be worried about AI

      20 June 2025

      Sita hits back at critics, promises faster, automated procurement

      20 June 2025

      The transatlantic race to create the first television

      20 June 2025

      Listed: All the MVNOs in South Africa – 2025 edition

      19 June 2025
    • World

      Watch | Starship rocket explodes in setback to Musk’s Mars mission

      19 June 2025

      Trump Mobile dials into politics, profit and patriarchy

      17 June 2025

      Samsung plots health data hub to link users and doctors in real time

      17 June 2025

      Beijing’s chip champions blacklisted by Taiwan

      16 June 2025

      China is behind in AI chips – but for how much longer?

      13 June 2025
    • In-depth

      Meta bets $72-billion on AI – and investors love it

      17 June 2025

      MultiChoice may unbundle SuperSport from DStv

      12 June 2025

      Grok promised bias-free chat. Then came the edits

      2 June 2025

      Digital fortress: We go inside JB5, Teraco’s giant new AI-ready data centre

      30 May 2025

      Sam Altman and Jony Ive’s big bet to out-Apple Apple

      22 May 2025
    • TCS

      TCS+ | AfriGIS’s Helen Hulett on how tech can help resolve South Africa’s water crisis

      18 June 2025

      TechCentral Nexus S0E2: South Africa’s digital battlefield

      16 June 2025

      TechCentral Nexus S0E1: Starlink, BEE and a new leader at Vodacom

      8 June 2025

      TCS+ | The future of mobile money, with MTN’s Kagiso Mothibi

      6 June 2025

      TCS+ | AI is more than hype: Workday execs unpack real human impact

      4 June 2025
    • Opinion

      South Africa pioneered drone laws a decade ago – now it must catch up

      17 June 2025

      AI and the future of ICT distribution

      16 June 2025

      Singapore soared – why can’t we? Lessons South Africa refuses to learn

      13 June 2025

      Beyond the box: why IT distribution depends on real partnerships

      2 June 2025

      South Africa’s next crisis? Being offline in an AI-driven world

      2 June 2025
    • Company Hubs
      • Africa Data Centres
      • AfriGIS
      • Altron Digital Business
      • Altron Document Solutions
      • Altron Group
      • Arctic Wolf
      • AvertITD
      • Braintree
      • CallMiner
      • CYBER1 Solutions
      • Digicloud Africa
      • Digimune
      • Domains.co.za
      • ESET
      • Euphoria Telecom
      • Incredible Business
      • iONLINE
      • Iris Network Systems
      • LSD Open
      • NEC XON
      • Network Platforms
      • Next DLP
      • Ovations
      • Paracon
      • Paratus
      • Q-KON
      • SevenC
      • SkyWire
      • Solid8 Technologies
      • Telit Cinterion
      • Tenable
      • Vertiv
      • Videri Digital
      • Wipro
      • Workday
    • Sections
      • AI and machine learning
      • Banking
      • Broadcasting and Media
      • Cloud services
      • Contact centres and CX
      • Cryptocurrencies
      • Education and skills
      • Electronics and hardware
      • Energy and sustainability
      • Enterprise software
      • Fintech
      • Information security
      • Internet and connectivity
      • Internet of Things
      • Investment
      • IT services
      • Lifestyle
      • Motoring
      • Public sector
      • Retail and e-commerce
      • Science
      • SMEs and start-ups
      • Social media
      • Talent and leadership
      • Telecoms
    • Events
    • Advertise
    TechCentralTechCentral
    Home » Company News » Light and powerful workstations that can handle analytics at the edge

    Light and powerful workstations that can handle analytics at the edge

    By Datacentrix and HP25 February 2022
    Twitter LinkedIn Facebook WhatsApp Email Telegram Copy Link
    News Alerts
    WhatsApp

    Any organisation that hopes to lead the data race is finding centralising everything within enormous cloud data centres somewhat limiting. In addition, the birth of 5G networks and a skyrocketing number of connected devices brought about by the industrial internet of things (IIoT), is set to produce unimaginable quantities of real-time data. And all this data will need to be analysed as quickly as possible, to help businesses make timely and informed decisions.

    Moreover, in a world where the pace of change in technology is extreme, and powerful new analytics models are available, speed is as mission-crucial now as accuracy always has been. Unfortunately, the cloud cannot hope to meet all these needs, which means forward-thinking companies are moving away from the cloud, towards the edge.

    To learn more about HP Z Workstations, visit Datacentrix

    But what is edge computing? In a nutshell, it can be described as a distributed computing architecture that shifts computation and data storage closer to the data source, rather than on a centralised server or in the cloud. In this way, response times are greatly enhanced, and bandwidth usage lowered.

    Anyone involved in data science or analytics at the edge has very distinct computing needs

    Now, if we look at the potential of analytics at the edge, the speed of data processing becomes even more critical. Applications including real-time data analytics, virtual and augmented reality, IIoT, streaming and more, are all very data heavy, but need to be delivered with extremely low latency, which means waiting for a request to the cloud is simply not a workable option. This isn’t the case when it comes to the edge.

    The common maxim today is that to keep up with the speed at which we are accumulating data, a move to the edge is key, particularly when it comes to analytics and data science. Being able to conduct intelligence or even knowledge discovery at the point where data is collected is becoming crucial in a slew of applications these days. With the pace of change in today’s digital world, no one has the luxury of bringing data back to the business’s servers and taking months on end to analyse it.

    Performance, reliability

    But not all workstations are equipped to handle this speed, and with such a wide range of workstations to choose from, finding the best one to fit your needs can be like navigating a minefield. Product specs are continually changing, and devices vary significantly by CPU speed, graphics capability, size, drive storage and RAM, among other features.

    A traditional workstation may not be perfect for all data science and analytics tasks, so users need to consider the specifications carefully if they hope to choose the right machine for their needs. If they are looking to buy a workstation for data science and machine learning tasks, there are several features that are non-negotiable.

    In fact, anyone involved in data science or analytics at the edge has very distinct computing needs. For one thing, those who are adopting the edge will find high-performing CPUs to be vital, and HP’s Z Workstations offer both the performance and reliability to handle these mission-critical workloads.

    HP Z Workstations were designed with extreme performance, reliability and ease of servicing in mind — all characteristics that help the user avoid downtime and help businesses keep their employees productive on both desktop and mobile systems.

    With HP Z Workstations users have a choice of single- or dual-core processor designs, small and regular form factors, ECC memory options, and support for up to eight monitors. Moreover, users can deploy HP Z Workstations with the peace of mind that comes from understanding that HP maintains dedicated workstation design and engineering teams to solve any issues before they arise.

    Specifically, the HP Book Studio comes with data science software. Data science pros have always longed to have both portability and lots of data-crunching power in one, single, portable package. The purpose-built HP ZBook Studio laptop is ideal for data analysis and takes away any compromise between features and security, with the increased security of a non-cloud-based PC in conjunction with a pre-loaded suite of the best data science software on the market.

    After all, no one feels the need to waste hours of time fiddling with configuration files in open-source data science apps. HP listened to its customers, heard the call for convenience and came up with this mobile workstation that is the ideal solution.

    The HP ZBook Studio is incredibly small, built for military toughness, and full to the brim with additional tools such as TensorFlow, Keras, PyTorch and many, many more. In addition, its powerful 8-core Intel Xeon processors, huge RAM, superior thermals and Wi-Fi 6 connectivity make it a data-crunching behemoth. Throw in stunning Nvidia Quadro graphics, extremely long battery life and plenty of cutting-edge ports, and this machine is a dream come true for those who need data science on the fly.

    The HP ZBook Studio is also the world’s smallest laptop for data science and creators, as well as the world’s most powerful workstation of its size, thanks to an incredibly light starting weight of just 1.74kg and dimensions of a mere 13.93 x 9.24 x 0.70 inches.

    To learn more about HP Z Workstations, visit Datacentrix.

    • This promoted content was paid for by the party concerned


    Datacentrix HP HP Z HP Z Workstations
    Subscribe to TechCentral Subscribe to TechCentral
    Share. Facebook Twitter LinkedIn WhatsApp Telegram Email Copy Link
    Previous ArticleVumatel buys 45% of Herotel
    Next Article Tiny robots to explore the moon in scientific first

    Related Posts

    Global firms eyeing South African IT companies for M&A deals

    22 January 2025

    Andile Ngcaba: ‘Fair Share’ is not needed in South Africa

    22 August 2024

    Level up your tech game at the Datacentrix Showcase 2024 Digital Experience Lab

    13 August 2024
    Add A Comment

    Comments are closed.

    Company News

    Making IT happen: how Trade Link gears up to enable SA retail strategies

    20 June 2025

    Why parents choose CambriLearn for online education

    19 June 2025

    Disrupt first, ask questions later – the uncomfortable truth about incident response

    18 June 2025
    Opinion

    South Africa pioneered drone laws a decade ago – now it must catch up

    17 June 2025

    AI and the future of ICT distribution

    16 June 2025

    Singapore soared – why can’t we? Lessons South Africa refuses to learn

    13 June 2025

    Subscribe to Updates

    Get the best South African technology news and analysis delivered to your e-mail inbox every morning.

    © 2009 - 2025 NewsCentral Media

    Type above and press Enter to search. Press Esc to cancel.