• Nvidia (NVDA) has hired Chris Malone, OpenAI's former head of data centers, as VP of its DSX Platform.
  • The move underscores Nvidia's push beyond chip design into end-to-end AI infrastructure deployment.
  • It also highlights the growing importance of operational expertise as AI capacity constraints shift from chips to power and construction.

Nvidia has quietly strengthened its infrastructure leadership, hiring Chris Malone—OpenAI’s former head of data centers—as vice president of its DSX Platform, according to a report from The Information. Malone, who left OpenAI in August after roughly 17 months, joined Nvidia in September, the report said. He previously held senior data-center roles at Meta (META) and Google (GOOG).

The hire comes as Nvidia increasingly positions itself not just as a supplier of AI chips but as a provider of full-stack data-center solutions. Malone’s experience spans siting, power, cooling, construction, and capacity deployment—critical bottlenecks that customers face after purchasing GPUs. His move from OpenAI to Nvidia signals that the competition in AI infrastructure is shifting from silicon to systems integration.

At OpenAI, Malone joined in March 2025 shortly after the company announced its Stargate infrastructure initiative with partners including Oracle (ORCL) and SoftBank (9984.T). That program aims to build up to 10 gigawatts of U.S. AI infrastructure over several years, with press reports suggesting a price tag of up to $500 billion. His departure followed a reorganization of OpenAI’s infrastructure group, which shifted his team under VP Sachin Katti rather than continuing to report to President Greg Brockman. OpenAI said the change was meant to support the scale and pace of its work, and responsibilities were divided among other leaders.

Nvidia’s financial results illustrate why a veteran data-center operator is valuable. For the quarter ended July 26, 2026, Nvidia reported $96.2 billion in revenue, up 106% year over year. Data Center revenue was $89.0 billion, up 117%, accounting for about 92.5% of total revenue. Fiscal 2026 annual revenue reached $215.9 billion, up 65%, driven by data-center compute and networking, including Blackwell systems.

The DSX Platform, which Malone now leads, is part of Nvidia’s effort to help customers deploy AI “factories” more quickly. While the exact remit of the platform is not yet detailed, the hire suggests Nvidia is deepening its involvement in designing, deploying, and operating large-scale data-center systems. That could include partnerships around power, facility development, and financing—areas where Nvidia’s customers, such as OpenAI, need significant support.

“Institutional investors like us are really focused on regulatory stability,” said Andrea Valeri, Blackstone (BX)’s country chairman for Italy, at a recent conference. While Valeri’s comments referred to private markets in Italy, the sentiment echoes the broader need for certainty in large infrastructure projects. For Nvidia, providing that certainty through integrated solutions could become a competitive advantage.

The geopolitical backdrop adds another layer. Nvidia’s most advanced chips, including Blackwell-class processors, remain subject to strict U.S. export controls, particularly to China. In May, the Commerce Department clarified that license requirements apply to China-headquartered entities operating outside China, closing an overseas-subsidiary loophole. Nvidia’s latest outlook assumes no Data Center compute revenue from China, highlighting how export policy can affect its addressable market even as global demand surges.

Malone’s hire also reflects a broader trend: as AI models grow, the bottleneck is moving from chip supply to physical infrastructure—power, land, water, and construction capacity. Experienced executives who understand hyperscale execution are scarce, and their movements between Google, Meta, OpenAI, and Nvidia carry outsized strategic value.

OpenAI said it has an experienced data-center team and clear leadership in place, but Malone’s exit underscores the execution challenges of scaling compute at an unprecedented pace. The company’s ability to execute its infrastructure plans after the reorganization will be closely watched.

Spokespeople for Nvidia and OpenAI did not immediately respond to requests for comment.

Update: This article was updated to clarify that Malone’s departure from OpenAI was part of a broader reorganization, not a cancellation of the company’s infrastructure ambitions.