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Humain starts AI operations in Saudi Arabia with Qualcomm and Adobe chips as pioneer customer

Qualcomm
Qualcomm - site Qualcomm

Technology company Humain has officially activated its new processing infrastructure focused on artificial intelligence on Oriente Médio. The venture, which has direct links with the country’s Fundo of Investimento Público, marks a decisive step towards the region’s technological sovereignty in a global scenario of high demand for advanced computing. Nesta inaugural stage, the company completed the installation and put into operation an initial batch consisting of 1,024 accelerators from the Cloud AI 100 line.

This move is part of an ambitious plan that aims to reach a total capacity of 200 megawatts. The goal established by the corporation foresees that this infrastructure expansion work will be completed by the end of the calendar scheduled for 2026, consolidating the country as a relevant hub in the sector. The choice of Qualcomm processors, originally launched in 2019, reflects a pragmatic approach to the global shortage of cutting-edge semiconductors.

Chip
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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. Essa operational agility strategy was essential to attract large international partners right at the beginning of operations.

First customer and commercial applications

Adobe was confirmed as the first major customer to use the resources of the new data center. 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 capability of deployed chips to handle complex demands, including generative AI and large language models.

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 equipment offers an attractive cost-benefit ratio for large-scale inference, prioritizing energy efficiency over pure processing brute force.

Supplier diversification and future

To ensure resilience and not depend 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 GB200 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 equipment must 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.

Operational infrastructure details

The data center operation was designed to offer low latency and high availability, critical factors for real-time applications. Thermal management and energy consumption are constantly monitored to ensure the sustainability of the project in a region with high climatic demands.

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

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