Render Network Foundation has launched Dispersed, a distributed GPU computing platform aimed at easing the growing constraints of centralized cloud infrastructure as global artificial intelligence (AI) workloads expand.
Expand your render network with a decentralized AI computing platform
Approved through governance proposals RNP-019 and RNP-021, the platform aggregates thousands of geographically distributed graphics processing units into a single compute layer, providing on-demand access to AI and general-purpose workloads without relying on centralized hyperscalers.
The foundation says Dispersed is designed to address capacity limitations, rising costs, and limited access faced by developers and businesses using traditional cloud providers. Dispersed allows organizations to select GPUs based on specific task requirements while maintaining control over their models and data.
The system, the foundation described Friday, is structured to avoid vendor lock-in and opaque application programming interfaces that can limit deployment flexibility. The team noted that early production workloads are already being tested by pilot users including OTOY Studio and Scrypted Network, both of which plan to run AI and creative workflows on the platform.
OTOY Studio, a production environment that combines 3D workflows and AI tools, is moving parts of the image and video production process to the network. Scrypted Network is also preparing to deploy autonomous AI agents that dynamically procure compute resources as needed, indicating that the distributed GPU infrastructure is being tested beyond experimental use cases.
Render Network plans to onboard up to 1,000 enterprise-grade GPUs, including Nvidia H100 and H200 models, AMD MI300 systems, Intel Data Center Max GPUs, and Groq LPUs. These resources are operated by independent node operators around the world who earn token-based rewards tied to job completion and availability and expand the supply of computing through decentralized participation.
Render Network itself is a decentralized GPU rendering marketplace that connects creators and developers to idle computing resources. Founded by Jules Urbach and made publicly available in 2020, the network initially focused on 3D rendering and visual effects, but increasingly supports machine learning and generative AI workloads.
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The network operates using a native utility token, RENDER. This facilitates payment for computing services, rewards node operators, and enables participation in governance. Lender was trading at around $1.55 this weekend, giving it a market capitalization of nearly $806 million, according to market data. The token posted a modest 1.35% day-over-day gain, but remains down about 3.35% over the past seven days and about 29% over the past month, reflecting broader volatility across AI tokens.
Statistics show that AI-focused tokens are taking a bit of a breather today, but zooming out it’s not so flattering as most of the sector is still stumbling with weak market performance. RENDER fits well into that pattern. Since hitting an all-time high of $13.53 on March 17, 2024, the token has lost more than 88% of its value.
Frequently asked questions 🧠
- What is variance?Dispersed is a distributed GPU computing platform launched by Render Network Foundation to support AI and general-purpose workloads.
- Who approved distributed launches?This platform was approved through Render Network governance proposals RNP-019 and RNP-021.
- What is Render Network?Render Network is a decentralized GPU marketplace that connects creators and developers to idle computing resources.
- What is the RENDER token used for?RENDER is used for payments, operator incentives, and participation in governance within the network.
