Nvidia and Meta unite in support of open AI – focusing on Llama 3.1
Nvidia’s Jensen Huang and Meta’s Mark Zuckerberg joined forces at the Siggraph conference to lend their clear support to open source AI.
What happened?
At the Siggraph 2024 graphics conference in Denver, Nvidia CEO Jensen Huang and Meta CEO Mark Zuckerberg participated in a joint discussion where both gave their full support to open source AI. The statement follows Meta’s launch of the Llama 3.1 series, which features up to 405 billion parameters, as well as its AI Studio tool. Concurrently, Nvidia announced the AI Foundry and NIM services to simplify the deployment of Meta's open models.
Key facts
| Konferens | Siggraph 2024 (Denver) |
|---|---|
| Största modell storlek | 405 miljarder parametrar (Llama 3.1) |
| Kontextfönster | 128 000 tokens |
| Nvidias marknadsandel AI-chipp | Över 80 procent |
”Precis som läderjackan jag bär vill jag inte tillverka den själv utan att någon gör den åt mig, och då behöver lädermaterialet vara öppen källkod så att alla kan använda det.”
Why it matters
Meta’s commitment to open models challenges proprietary systems from competitors such as OpenAI. For Nvidia, which dominates the AI hardware market with a share of over 80 per cent, it is strategically important to support major licensees and developers to ensure their software stack remains the industry standard for both language models and future robotics.
Who is affected?
The announcement concerns AI developers, researchers, and companies building applications on open models rather than closed alternatives from players like OpenAI. It also impacts cloud service providers and hardware customers integrating Nvidia’s ecosystem for AI inference and robotics.
Impact on the EU
In the EU, open source and access to AI models like Llama 3.1 are governed by regulations such as the EU AI Act and GDPR, which impose strict requirements regarding transparency and data security for open models. Meta has previously faced regulatory challenges in Europe concerning the use of user data for model training.
What else you should know
This development highlights the intensifying battle for the AI ecosystem. While Nvidia and Meta are investing heavily in open source, recent research reports indicate that Apple has chosen to use Google’s TPU chips rather than Nvidia’s hardware for parts of its new AI infrastructure.
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