The graphics industry's premier conference saw a slew of new offerings from Nvidia and Meta, which went heavy on software and AI enablement.
Siggraph is the graphics industry’s premier conference—and a great venue for analysts like me or anyone else who’s trying to see into the future of graphics. The show is very research-heavy and is attended by many researchers, architects and engineers across the graphics industry. Two companies that have had a dominant presence at the show are Meta and Nvidia .
In addition to the USD NIMs that are available in preview right now, Nvidia also announced the forthcoming USD Layout NIM and USD SmartMaterial NIM. Layout allows users to assemble OpenUSD-based scenes from a series of text prompts, while SmartMaterial predicts and applies realistic material to a CAD object. Many of these NIMs simplify the use of 3-D tools while also tying developers and users more closely to Nvidia, building a dependence on NIMs on top of the lock-in of Omniverse.
It will be interesting to see which companies and countries end up using SAM 2 and the SA-V dataset in their own models based on SAM 2. Because the cost of developing AI models is so high and datasets are difficult to come by, many countries are relying on Meta’s models to power their own domestic models for AI. Considering that Meta just released Llama 3.
On Meta’s side, the AI Studio and SAM 2 model show Meta’s continuing leadership in AI—and how crucial the company continues to be for the industry. I am excited to see how SAM 2 is commercialized, because it seems to be one of the best models for masking, which is a very popular AI-accelerated tool in video-editing apps.
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