io.net and Render Network join forces to introduce more GPU vendors

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rendering network io.net and decentralized cloud services provider io.net are collaborating to strengthen io.net’s Artificial Intelligence (AI) Decentralized Physical Infrastructure Network (DePIN) while expanding capacity to include additional GPU vendors.

rendering, a io.net The partners will add their distributed network of GPU vendors to create one of the largest DePINs in the world.

To encourage GPU supply, io.net has allocated 300,000 RNDR, worth approximately $700,000, to its Early Supplier Incentive Program. This portion may increase to 1.14 million RNDRs, equivalent to approximately $2.6 million, and will be distributed in 2024.

The deal is intended to create more opportunities for incentivized GPU supply. Early GPU vendors to io.net will be eligible for higher incentives. Render node use cases will expand beyond rendering to machine learning applications.

Rendering Network community members with consumer-grade GPUs (specifically Nvidia RTX 4090 or lower) will also be eligible to participate in the Early Vendor Incentive Program.

Ahmad Shadid, CEO of io.net said:

“Our partnership with Render Network will give us access to Render’s community of high-quality consumer GPUs as we expand the use cases of its nodes beyond rendering ML applications. This partnership will strengthen our offerings and we look forward to working together Endeavor. We are excited to launch Breakpoint and scale to meet the incredible growth in AI and ML.”

RNDR rewards will be issued within eight weeks to node operators who have consumer-grade GPUs and fewer than 25 nodes during the initial phase of the program.

At Multicoin Capital’s annual investor summit in September, io.net CEO Ahmad Shadid and Render Network Foundation Director Trevor Harries-Jones discussed the benefits of using consumer-grade GPUs for distributed AI computing and DePIN’s role in achieving this goal role in.

Due to the rise of artificial intelligence, the demand for GPUs has increased exponentially. GPU demand surges 10 times every 18 months, and model training costs rise 3,100% annually. Traditional cloud providers are struggling to keep up with demand, causing delays and high costs for AI startups, hampering innovation.

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