NVIDIA Endorses Open Development to Speed AI Innovation

NVIDIA has publicly voiced support for open development in artificial intelligence, arguing that collaboration among developers leads to better technology. The company made the statement in official posts on X and LinkedIn, linking to an interview with Bryan Catanzaro on The MAD Podcast with Matt Turck. In a post on the @nvidia account on X, the company wrote that open development helps AI move faster. When developers can learn from, build on, and improve each other's work, they can create better technology together. The post referenced Catanzaro, whose handle is @ctnzr, and podcast host Matt Turck, whose handle is @mattturck. A similar post appeared on LinkedIn on 28 August 2026, with a short link, nvda.ws/4hW94EM, directing readers to the podcast episode.

At the time of publication, the LinkedIn post had attracted 15 comments from users. The MAD Podcast with Matt Turck is a weekly conversation series featuring leaders in machine learning, AI, and data. Its official description on Apple Podcasts says each episode brings in a leader from the machine learning, AI, and data landscape. The show is also available on Spotify and YouTube. The same team behind the podcast organizes a monthly in person event in New York called Data Driven NYC. That event is free and open to the public, with registration handled through Luma. Data Driven NYC serves as a community gathering for discussions of recent developments in AI and data, aligning with the themes explored in the podcast.

Matt Turck, the host, is an AI and data investor and a partner at FirstMark Capital, an early stage venture capital firm based in New York. His involvement in the interview adds an investor perspective to the open development discussion, particularly because FirstMark Capital is active in New York's technology startup ecosystem. NVIDIA's statement arrives amid a continuing industry debate over the balance between open and closed AI models. Some technology companies publish model architectures and weights openly so researchers and developers can study and build on them. Others adopt a more restrictive approach, citing security concerns and competitive advantage. Through its post, NVIDIA explicitly took the side of openness, arguing that collaboration produces better technology.

It is important to note that the content of the post is an official statement from NVIDIA's account, not a media report or a third party opinion. The message reflects the company's position in the global discourse on AI development. However, the post does not mention specific technical details, new products, or any form of company policy. NVIDIA has not released additional statements beyond the X and LinkedIn posts. In the AI development ecosystem, a declaration from a company of NVIDIA's scale typically draws attention from developers, researchers, and industry participants. The X and LinkedIn posts are one signal that the company, known primarily as a supplier of computing infrastructure for AI, is taking a stance in the discussion about openness.

Still, the post does not connect that stance to any specific product, service, or business strategy. Bryan Catanzaro, the guest in the referenced episode, discussed open development during his conversation with Turck. NVIDIA's post did not include a clip or summary of the interview, only a link. The full interview is available through the link shared by NVIDIA. From an industry perspective, public statements like this can influence conversations about collaboration in AI development. When a major infrastructure company voices support for openness, it may encourage a wider discussion about how the AI ecosystem is built and who has access to fundamental technology. The post does not explain what concrete impact, if any, the statement will have on NVIDIA's corporate policy or product direction.

The MAD Podcast's YouTube channel also distributes the interview and regularly publishes in depth conversations with machine learning, AI, and data leaders. The same channel documents Data Driven NYC, the monthly New York event. NVIDIA's statement thus becomes part of a broader discourse about how AI is developed and shared in the global community. Open development as a concept holds that collaboration and sharing can accelerate innovation. That idea underpins many open source projects in the technology world. By voicing this position, NVIDIA is helping to shape the direction of the conversation about collaboration amid intensifying competition in AI development. The podcast episode referenced by NVIDIA serves as a follow up to the statement.

Members of the public who want to understand Catanzaro's views in detail can access the episode through Apple Podcasts, Spotify, and YouTube. The interview material offers more depth than the brief X and LinkedIn posts. This is not a breaking news event but a positioning statement from one of the most influential companies in the AI infrastructure space. NVIDIA's choice to highlight open development in its official channels, and to anchor that message in a podcast interview with a prominent investor, suggests that the company wants to be part of the conversation on how AI is opened up or kept closed. Whether that translates into concrete changes in its open source release practices or partnerships remains to be seen.