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    Home » Sections » Cloud services » South Africa’s biggest data centres, ranked

    South Africa’s biggest data centres, ranked

    AI workloads are contributing to large-scale infrastructure investments in the US, but adoption in South Africa will take longer.
    By Nkosinathi Ndlovu24 October 2025
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    South Africa's biggest data centres - Teraco JB5
    Teraco’s recently completed JB5 data centre, photographed at dusk at the company’s Isando campus

    South Africa’s data centre capacity has been growing steadily over the years as demand for cloud computing and storage services has expanded.

    Seen as a window into the African continent, the South African industry attracts investment from global entities looking to use their local presence as an anchor and a proving ground for future builds in other parts of Africa.

    This privileged position has led to South Africa boasting many of the largest data centres on the continent, but even these are dwarfed by the facilities being built elsewhere, including in the US, Europe and China.

    In March, Microsoft committed to making a $5.4-billion investment into South Africa

    The generative AI boom is spurring a new wave of investment into US data centre capacity and the scale of planned builds is breathtaking. As an example, South Africa’s largest data centre is the Isando Campus, built by Teraco, with 70MW of IT load capacity. The largest proposed AI data centre build in the US, Open AI’s Project Stargate, will have IT load capacity in the region of 10 000MW.

    NTT Data’s Johannesburg 1 data centre is sixth on TechCentral’s list of South Africa’s largest data centres, boasting 6 200sq m of white space and 12MW IT load capacity. Speaking to TechCentral in a recent interview, Greg Hatfield, vice president for infrastructure solutions at NTT Data, said it will take some time before AI-driven investments spur an infrastructure boom in South Africa.

    Investment case

    “It is a bit early to expect significant investment driven by AI in South Africa and in Africa. If you look at macro technology trend adoption cycles, they take a long time, about seven to 10 years,” said Hatfield.

    “If you go back to the days of the internet from 1995, it wasn’t until the mid-2000s when organisations saw the real opportunity of e-commerce and saw the internet as more than just an advertising billboard for their brand. The same happened with multi-protocol label switching (MPLS) and outsourcing of wide-area networks, and even cloud technology.”

    Hatfield said the reason behind the five-to-10-year lag in mass adoption is that, for the enterprise, there is seldom a clear-cut business case for nascent technologies, even if the notion that the technology will have a significant impact down the line does exists.

    10 largest data centres in South Africa

    Data centreCompanyWhite space (sq m)IT load (MW)
    Isando CampusTeraco32 00070
    Bredell CampusTeraco21 00063
    Breckenfell CampusTeraco18 00050
    Johannesburg IVantage Data Centres12 00016
    JHB1Africa Data Centres8 50020
    Johannesburg 1NTT Data6 20012
    JHB2Africa Data Centres6 00010
    CPT1Africa Data Centres3 60010
    CT1Teraco2 5003
    DPA SamrandDigital Parks Africa2 40024

    “It is difficult to extract money and make investments if you don’t have clarity of the business case. Our clients are obviously paying a lot of attention to AI, but most of the implementations are related to internal individual staff productivity benefits, some tactical automation and agentic AI. There are lots of experiments, but they are not enterprise-wide massive investments,” he said.

    It is only once South African enterprises use AI at scale that hyperscalers and other infrastructure players will be able to justify the investment case for increased local AI compute capacity. AI computations are resource intensive, requiring higher levels of power – and as a consequence more water for cooling – as inputs. This is one of the reasons why – and there are many – that the scale of AI data centres in the US is so massive.

    4 largest planned AI data centres in the US

    Project/companyLocation(s)InvestmentIT load (planned capacity)White space (sq m)
    OpenAI's Stargate (with Oracle & SoftBank)Texas, New Mexico, Ohio, Wisconsin$500-billionUp to 10GW100 000+
    Meta PlatformsLouisiana$10-billionEstimated at 2.2GW371 612
    Vantage Data Centers (Frontier Campus)Texas$25-billion1.4 GW343 741
    Microsoft (Fairwater Campus)Wisconsin$7-billionNot explicitly disclosed (capacity is a single "massive AI supercomputer")111 484

    Even so, investment into local AI capacity, although smaller relative to the US, is gaining traction. In March, Microsoft committed to making a US$5.4-billion investment into South Africa, which includes capacity in cloud and AI infrastructure. The move promises to make high-end Nvidia GPUs more easily available to South Africa, especially since Microsoft holds preferred distributor status under the US’s AI Diffusion Framework – a policy that controls who can purchase high-end AI chips.

    Teraco’s JB5 data centre contributes 30MW IT load capacity to the 70MW in total of its Isando campus. JB5 is described by Teraco as an AI-ready facility that houses state-of-the-art GPUs that specialise in AI workloads.

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

    “Enterprises are increasingly demanding high-performance infrastructure to support AI workloads. Teraco’s partnership with Nvidia through the DGX-Ready programme reflects strong enterprise interest in robust AI infrastructure. Altron’s operational AI Factory – hosted at Teraco and powered by Nvidia – offers clients access to comprehensive AI tools, infrastructure and support, while ensuring data sovereignty and regulatory compliance,” said Teraco CEO Jan Hnizdo, in an e-mailed response to a query by TechCentral.  – © 2025 NewsCentral Media

    Get breaking news from TechCentral on WhatsApp. Sign up here.

    Read: What Microsoft’s R5.4-billion AI investment means for South Africa



    Greg Hatfield Jan Hnizdo Microsoft NTT Data OpenAI Teraco
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