nvidia and saudi arabia team up for ai revolution
Riyadh, Wednesday, 21 May 2025.
nvidia partners with saudi arabia to establish the nation as a global ai hub. the initiative includes building ai factories with a capacity of 500 megawatts, powered by hundreds of thousands of nvidia gpus. this will involve deploying an 18,000 nvidia gb300 grace blackwell ai supercomputer. the collaboration aims to boost industries like energy, manufacturing, and logistics, aligning with saudi arabia’s vision 2030 goals. nvidia and saudi arabia’s partnership could transform the country into an ai powerhouse.
nvidia’s strategic alignment with saudi arabia
NVIDIA’s partnership with Saudi Arabia is set to enhance its market position and revenue streams [1]. The collaboration involves HUMAIN, a subsidiary of Saudi Arabia’s Public Investment Fund, to construct AI factories with a 500-megawatt capacity [1][2]. These factories will utilize hundreds of thousands of NVIDIA GPUs over the next five years [1][2]. The initial phase includes deploying an 18,000 NVIDIA GB300 Grace Blackwell AI supercomputer [1]. This move is expected to significantly increase the demand for NVIDIA’s advanced GPUs and strengthen its presence in the global AI infrastructure market [1].
expanding nvidia’s ai infrastructure footprint
NVIDIA is also collaborating with the Saudi Data & AI Authority (SDAIA) to deploy up to 5,000 Blackwell GPUs for an AI factory, which will support smart city solutions [1]. Aramco Digital will contribute by developing AI computing infrastructure and partnering with NVIDIA’s startup ecosystem [1]. These initiatives align with Saudi Arabia’s Vision 2030, aiming to diversify its economy and establish itself as a leader in data and AI [1]. Jensen Huang, NVIDIA’s CEO, emphasized that AI is essential infrastructure for every nation, similar to electricity and the internet [1][2].
nvlink fusion and ai infrastructure advancements
NVIDIA recently launched NVLink Fusion, a chip designed to help build semi-custom AI infrastructure through its partner ecosystem [4]. This technology supports integration of CPUs from Fujitsu and Qualcomm with NVIDIA GPUs, enhancing AI infrastructure performance [4]. Partners like MediaTek and Marvell are collaborating with NVIDIA to advance AI infrastructure [4]. NVLink Fusion supports a platform with up to 800 Gb/s throughput, marking a significant advancement in data center interconnectivity [4].
dgx cloud lepton and global compute ecosystem
NVIDIA has also introduced the NVIDIA DGX Cloud Lepton, an AI platform connecting developers to a global network of GPU resources [6]. This platform offers a marketplace for AI development, providing access to thousands of GPUs through cloud providers [6]. NVIDIA Cloud Partners (NCPs) such as CoreWeave and SoftBank Corp. will offer NVIDIA GPUs via the DGX Cloud Lepton marketplace [6]. DGX Cloud Lepton integrates NVIDIA software, including NVIDIA NIM and NeMo microservices, to accelerate AI application development and deployment [6].
challenges in the chinese market
Despite these advancements, NVIDIA faces challenges in the Chinese market due to U.S. export controls on AI chips [7]. NVIDIA’s market share in China has decreased from 95% to 50% since the beginning of the Biden administration [7]. Jensen Huang commented that these export controls have been a setback [7]. This decline highlights the competitive pressures and regulatory hurdles NVIDIA faces in maintaining its global market dominance [7].
upcoming gb300 system and nvidia’s ai strategy
NVIDIA is set to launch its next-generation GB300 system in the third quarter of this year [8]. The GB300 features an upgraded Blackwell chip with 1.5 times the inference performance and HBM memory capacity, along with double the network connectivity [8]. NVIDIA is positioning itself as an AI infrastructure company, moving beyond just a chip manufacturer [8]. The company’s focus on AI factories and comprehensive AI solutions indicates a strategic shift towards providing end-to-end AI infrastructure [8].
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