Humain activates AI infrastructure in Saudi Arabia and confirms Adobe as the project’s first client

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The company Humain officially started operations of its new processing infrastructure focused on artificial intelligence at Arábia Saudita. The venture, which has direct links with the country’s Fundo of Investimento Público, represents a strategic move to consolidate the region’s technological sovereignty on the global stage. Nesta inaugural phase, the company completed the installation and put into operation an initial batch consisting of 1,024 accelerators from the Cloud AI 100 line, marking the beginning of its commercial activities.

This initiative is part of an ambitious plan that aims to reach a total capacity of 200 megawatts. The goal established by the corporation foresees that the expansion works of this infrastructure will be completed by the end of the scheduled calendar for 2026, solidifying the country as a relevant hub in the advanced technology sector. The operation was designed to offer low latency and high availability, critical factors for real-time applications, in addition to maintaining constant monitoring of thermal management and energy consumption, essential for the sustainability of the project in a region with high climatic demand.

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First customer and commercial applications

Adobe was confirmed as the first major customer to use the new data center’s resources. The creative software giant will leverage the infrastructure to run hybrid artificial intelligence workloads that operate between the edge and the cloud. Essa partnership validates the technical capacity of deployed chips to meet complex demands, including generative artificial intelligence and large language models.

The choice of Qualcomm processors, originally launched in 2019, reflects a pragmatic approach to the global shortage of cutting-edge semiconductors. The immediate availability of the hardware allowed Humain to accelerate the start of commercial activities without the need to face the long queues that affect other manufacturers.

The collaboration demonstrates that the AI100 Ultra accelerators maintain their operational validity, even though they are not the latest components on the market. With 64 AI cores per card and up to 576 MB of on-board SRAM memory, the device offers attractive value for money for large-scale inference, prioritizing energy efficiency over raw processing power.

Supplier diversification and future

To ensure resilience and avoid dependence on a single technological source, Humain has structured agreements with multiple chip manufacturers. Além from Qualcomm, the expansion strategy includes the integration of technologies from NVIDIA and AMD. The planning includes the acquisition of 18 thousand NVIDIA GB300 Grace Blackwell systems, aiming to reinforce the capacity to train more robust models.

Diversification aims to mitigate supply risks and adapt the data center to different types of workloads. Enquanto Qualcomm chips focus on efficient inference, AMD’s equipment should comprise a 500 MW base focused on high-performance computing, creating a hybrid and flexible ecosystem.

The company’s technology roadmap also foresees hardware upgrades in the coming years. The expectation is the integration of new generation processors, such as the AI200 and, later, the AI250, which promise significant leaps in memory and efficiency, capable of competing directly with the leaders in the segment.

Pillars of the current project

The current infrastructure configuration allows Humain to offer competitive services in the global market, attracting companies looking for viable and immediate alternatives for their AI projects. Key pillars of the project include the initial installation of 1,024 Qualcomm Cloud AI 100 accelerators, a focus on energy-efficient inference operations, and the target of expansion to 200 MW of total capacity. Além In addition, the strategic partnerships signed with Qualcomm, NVIDIA and AMD stand out, as well as the ability to meet demands for generative artificial intelligence and hybrid processing.