Aethir sets up $100M fund for AI and gaming advancements

Key Takeaways

Aethir Catalyst features a $20 million grant program to assist tech startups.
The fund will concern 336 million ATH tokens to help AI and gaming initiatives.

Aethir, a decentralized GPU cloud computing firm, has introduced the launch of the Aethir Catalyst, a $100 million funding fund geared toward accelerating the event of AI and gaming initiatives.

Large information Neighborhood,

We’re tremendous excited to announce an enormous $100 million Ecosystem Fund designed to assist daring, bold initiatives with monetary backing and to stimulate AI and Gaming ecosystem progress

The primary part of our $100 million Ecosystem Fund options… pic.twitter.com/00lgF8byh7

— Aethir (@AethirCloud) October 10, 2024

The Aethir Ecosystem Fund, structured to assist early-stage startups and enterprises alike, contains the Aethir Catalyst—a devoted $20 million grant program backed by the Aethir Basis.

Aethir Catalyst grants, awarded in ATH, Aethir’s native utility token, are tailor-made to fulfill the distinctive wants of every challenge. This system will distribute 336 million ATH tokens over the subsequent 12 months, equally supporting each AI and gaming initiatives to assist scale their operations.

Aethir detailed its dedication to breaking down boundaries for AI and gaming builders, significantly these going through challenges with high-performance computing.

As a part of this initiative, Aethir is using its expansive cloud community, powered by over 43,000 GPUs and three,000 NVIDIA H100 GPUs, to offer important compute assets.

“By allocating $20 million from the Aethir Basis’s $100 million fund, we’re making certain probably the most promising AI and gaming firms have the assets they should thrive,” stated Mark Rydon, Aethir’s Chief Technique Officer.

The initiative is anticipated to assist over 100 initiatives, with a deal with 4 classes: gaming innovators, pre-launch initiatives, AI-integrated enterprises, and cloud gaming platforms. Every utility is evaluated primarily based on innovation, progress potential, computing wants, and neighborhood influence.