RNP-008 Nosana Compute Client Recap & Coinbase Fireside Chat
RNP-008 Nosana Compute Client Passes Final Vote
On Wednesday, the Final Votes for RNP-008 closed, with a total of 1.1mm RENDER and 17k RNDR cast respectively to approve the proposal. The vote met quorum and and overwhelmingly voted to approve RNP-008. Nosana will now be added to the Foundation development roadmap to be included as a new Render Open Compute Client, expanding the set of Compute Clients to IO.Net, Beam, FedMl, and now, Nosana.
Coinbase Fireside Chat with the Render Network
As the Render Network expands to use cases beyond traditional 3D rendering — including generative AI and spatial computing — Coinbase Institutional Market Call released a podcast episode featuring the Render Network’s Jules Urbach and Trevor Harries-Jones, exploring the evolution of the network to meet emerging GPU computing demands.
Below are highlights from the conversation, covering key discussion points focused on spatial media, AI, and decentralized network growth.
The Convergence of 3D and Generative AI
At the outset of the discussion, Jules discussed how AI has been instrumental to the Render Network since inception, exploring the growing interconnections between 3D graphics and generative AI. He discussed how AI has always had a graphic focus to it. For example, every job that has been run on the network has had an AI component since launch with AI denoising and upscaling features being key components of the advancements in imaging over the last decade.
“Since 2017, every Render job has an AI component…Now I look at the explosion of generative AI that’s driving a lot more tools, demand, and processes into that part of it… short of LLMs, anything that’s generative AI in media still requires rendering… 60% [of Generative AI] is still traditional raytracing or generative AI that you can run in a normal render job, so I just think it’s a spectrum.”
— Jules Urbach
The largest application of Generative AI — text to image / video / 3D — leverages core technologies pioneered in 3D graphics like raytracing, which are core components of current GPU rendering workflows on the network. This is to say that the expansion of the Render Network into AI compute workloads is not a pivot, but rather reflects the growing convergence between AI and 3D graphics within GPU compute.
Spatial Media
The rise of spatial computing was discussed as a catalyst for accelerating the convergence of generative AI and GPU graphics — with the needs for full visual immersion and real-time holographic experiences pushing compute demands to new levels.
“So I think the explosion has helped us, but it doesn’t mean that rendering is going away. In fact, with the launch of the Apple Vision Pro, even render jobs that are being done for the MSG Sphere, there’s a lot of interest in next-generation media, and I think the Apple Vision Pro launch will sort of showcase where that’s all going. So I think that the future is bright on both ends.”
— Jules Urbach
Jules described how the proliferation of spatial media experiences could be powered by the Render Network.
You are going from rendering 4K per frame to something that is 100 times that…We are going to see everyone who has used Render want to use the system we’ve created for spatial video .. you want to walk into a scene or create something interactive, which has not really been possible to the degree that is will be, a holodeck-like experience on the Vision Pro…that’s the future that Sam Altman talks about and that’s our vision as well.
— Jules Urbach
Blockchain Provenance and Decentralized Computing
The conversation shifted to exploring how the Render Network leverages blockchain technology and cryptography. Provenance was discussed as one of the key motivations for the network’s move to Solana, a high throughput L1, enabling Render to bring all of its data on chain and record deep layers of attribution for creative work on the network. Due ton the rise of AI imaging, where the boundaries of human and machine production are blurred, media traceability and attribution are emerging as critical needs, along with smart contract infrastructure for next generation royalty flows.
Now that we have these very powerful tools, you want to have safeguards for that. Just knowing how something was created, every single thing rendered on the Render Network — whether it is a frame for a major Motion Picture, every 3D model, every asset, every AI component, there is a receipt for that goes on chain, so you can see how it was created. And more importantly when you want to mix those things together…the royalties for that can be very finely tuned…that’s where the blockchain is really interesting…and we are crafting together the things to make that work with the complexity of what you can build on-chain.
— Jules Urbach
With the growing importance of data and on-chain provenance for next generation IP monetization in an age of AI, Trevor and Jules addressed the importance of security in the creation process on the Render Network.
“The bigger challenge on the AI side is more around the security. And when I look at what the OTOY team have done on the rendering side, it’s truly amazing we’ve got to the point where real movies are being run on the Network cause of the security being solved. On the AI side it’s a different security problem, it’s being handled differently, and I think that’s where you can see the most innovation in 2024, as ZK and homomorphic encryption become real things potentially there are more secure ways for things to be run, and not lose access to your critical data. But there’s still a lot to be said and I feel like we’re really at the start there.” — Trevor Harries-Jones
Jules added that all the work on the network is end-to-end encrypted, and the network’s focus on building a decentralized computing with strong encryption has become especially useful in exploring next generation use cases in AI. The podcast ended with a discussion of the Foundation’s larger mission of democratizing all forms of GPU workloads in rendering and AI by adding more compute clients and more 3rd-party rendering engines.
To hear all this and more in depth analysis on the future of rendering, AI and more, listen to the Coinbase Institutional Market Call with Trevor and Jules here.
Join us in the Rendering Revolution at:
Website: https://render.x.io
Twitter: https://twitter.com/rendernetwork
Knowledge Base: https://know.rendernetwork.com/
Discord: https://discord.gg/rendernetwork
Telegram: https://t.me/rendernetwork
Render Network Foundation: https://renderfoundation.com/
