At LEAP 2025, IBM and Lenovo announced plans to expand their strategic technology partnership, aimed to amplify the influence of generative AI for enterprises within the Kingdom of Saudi Arabia.
Building upon their 20-year partnership, IBM and Lenovo will collaborate to deliver AI solutions comprised of technology from the IBM Watsonx portfolio of AI products, including the Saudi Data and Artificial Intelligence Authority (SDAIA) open-source Arabic Large Language Model (ALLaM) and Lenovo infrastructure.
These solutions aim to help government and business clients in the Kingdom to accelerate their use of AI to improve public services and create data-driven decisions in areas such as fraud detection, public safety, customer service, code modernization, and IT operations.
“Today’s announcement represents an important step in the longstanding relationship between IBM and Lenovo,” said Giovanni Di Filippo, President of EMEA, Infrastructure Solutions Group at Lenovo. “We’re pleased to deepen our partnership to bring IBM’s fit-for-purpose generative AI offerings together with Lenovo’s infrastructure solutions for both on-premises and cloud use to provide customers in Saudi Arabia with solutions designed to meet their unique needs in this fast-paced growing market.”
Also Read: e& Teams Up with IBM to Create a New AI Governance PlatformOrganizations in Saudi Arabia are currently able to access ALLaM through watsonx; use advanced AI capabilities to train, tune, and deploy ALLaM; and run their AI workloads on Lenovo infrastructure for both on-premises and cloud use cases. The new solutions are expected to provide additional ways for clients to harness the power of Generative AI with an approach based on transparency, trust, and choice.
“IBM and Lenovo have a rich history of joint innovation and partnership that spans two decades,” said Ayman AlRashed, Regional Vice President, IBM Saudi Arabia. “We look forward to this new collaboration to bring together Lenovo’s infrastructure offerings and IBM’s AI portfolio, which utilizes small, efficient, open-source models targeted for specific use cases and geographic requirements. Together we will drive even greater value for our mutual clients in the Kingdom.”
