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[1]
Roche ramps up AI computing capacity with Nvidia chip expansion
BERLIN, March 16 (Reuters) - Swiss drugmaker Roche (ROG.S), opens new tab said on Monday it had expanded its artificial intelligence computing capacity with more than 2,100 Nvidia chips to support drug and diagnostics development. Roche said the additional hardware would speed up work across its research and development operations, including modelling, data analysis and clinical trial processes. The drugmaker said it had deployed 2,176 Nvidia Blackwell graphics processing units (GPUs) across sites in the U.S. and Europe, giving it the largest GPU footprint in the industry. The build-up, which began in 2023, is part of a wider collaboration with Nvidia by Roche, which has been increasing investment in AI tools as large pharmaceutical groups compete to cut development timelines and reduce costs. "In healthcare, time is the most critical variable," Chief Digital and Technology Officer Wafaa Mamilli said. Drugmakers have announced a slew of deals for tools to unleash the promise of artificial intelligence, seen as the biggest technological breakthrough since the internet. Agentic AI, which requires little human intervention, could increase clinical development productivity by about 35% to 45% over the next five years, consultancy McKinsey said last year. Reporting by Maggie Fick, Writing by Friederike Heine; Editing by Alexander Smith Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs
Roche is deploying more than 3,500 NVIDIA Blackwell GPUs across hybrid cloud and on‑premises environments in the U.S. and Europe, expanding on an existing collaboration to turn AI and accelerated computing into a core operating capability across its pharmaceutical and diagnostics businesses. At NVIDIA GTC today, Roche unveiled how this new AI computing backbone will power everything from biological foundation models to drug discovery and digital twins for manufacturing. This investment positions Roche with the extensive computing capacity it needs to enable scientists across the enterprise to pursue their most ambitious scientific projects.
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Roche ramps up AI computing capacity with Nvidia chip expansion - The Economic Times
Roche said the additional hardware would speed up work across its research and development operations, including modelling, data analysis and clinical trial processes.Swiss drugmaker Roche said on Monday it had expanded its artificial intelligence computing capacity with more than 2,100 Nvidia chips to support drug and diagnostics development. Roche said the additional hardware would speed up work across its research and development operations, including modelling, data analysis and clinical trial processes. The drugmaker said it had deployed 2,176 Nvidia Blackwell graphics processing units (GPUs) across sites in the U.S. and Europe, giving it the largest GPU footprint in the industry. The build-up, which began in 2023, is part of a wider collaboration with Nvidia by Roche, which has been increasing investment in AI tools as large pharmaceutical groups compete to cut development timelines and reduce costs. "In healthcare, time is the most critical variable," Chief Digital and Technology Officer Wafaa Mamilli said. Drugmakers have announced a slew of deals for tools to unleash the promise of artificial intelligence, seen as the biggest technological breakthrough since the internet. Agentic AI, which requires little human intervention, could increase clinical development productivity by about 35% to 45% over the next five years, consultancy McKinsey said last year.
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Swiss drugmaker Roche has deployed over 3,500 Nvidia Blackwell GPUs across the U.S. and Europe, creating the largest pharmaceutical AI infrastructure in the industry. The expansion aims to accelerate drug and diagnostics development while reducing timelines and costs through advanced AI computing capacity.

Swiss drugmaker Roche has significantly expanded its AI computing capacity by deploying more than 3,500 Nvidia Blackwell GPUs across hybrid cloud and on-premises environments in the U.S. and Europe
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. The deployment, announced at NVIDIA GTC, represents the largest GPU footprint in the pharmaceutical industry and marks a major step in turning AI and accelerated computing into a core operating capability1
. This build-up, which began in 2023, is part of a wider collaboration with Nvidia as large pharmaceutical groups compete to cut development timelines and reduce costs3
.The additional hardware will speed up work across Roche's research and development operations, including enhancing modelling and data analysis, clinical trial processes, and diagnostics development
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. According to Wafaa Mamilli, Chief Digital and Technology Officer at Roche, "In healthcare, time is the most critical variable"3
. The new AI computing backbone will power everything from biological foundation models to AI drug discovery and digital twins for manufacturing2
. This investment positions Roche with the extensive computing capacity needed to enable scientists across the enterprise to pursue their most ambitious scientific projects.Related Stories
The pharmaceutical industry is experiencing a wave of AI adoption, with drugmakers announcing deals for tools to harness artificial intelligence, seen as the biggest technological breakthrough since the internet
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. Agentic AI, which requires little human intervention, could increase clinical development productivity by about 35% to 45% over the next five years, according to consultancy McKinsey1
. The deployment of Graphics Processing Units (GPUs) across multiple sites creates AI Factories that can handle complex computational tasks essential for modern drug discovery and manufacturing breakthroughs. As pharmaceuticals continue investing in foundation models and digital twins, the race to reduce development timelines while maintaining rigorous standards intensifies, with Roche's deployment setting a new benchmark for pharmaceutical AI infrastructure in the industry.Summarized by
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