Akash Launches Homenode for Decentralized AI Compute
What happened
Akash Network launched an early access program for Homenode, a platform that allows everyday devices to contribute to a decentralized compute network. The initial phase enables users with high-end GPUs to offer their hardware for AI and developer workloads.
Why it matters
- Akash Network operates a "reverse auction" marketplace where compute providers bid against each other to offer the lowest price for developer workloads, which can result in costs 60-86% lower than traditional cloud infrastructure providers. - The project was co-founded in 2018 by Greg Osuri, who now serves as CEO of Overclock Labs, the primary contributor to the Akash Network. Osuri was previously the founder and CTO of AngelHack, a global developer ecosystem. - Homenode is specifically targeting owners of NVIDIA RTX 40-series or 50-series GPUs, estimating that a provider could cover the hardware cost within 17 months at a 50% utilization rate. - The network's native token, AKT, is used for securing the network through staking, governance, and as the primary medium of exchange for buying and selling computing resources. - Decentralized GPU networks like Akash are primarily positioned as a cost-effective layer for AI inference, data preparation, and other tasks that can be partitioned and don't require the tightly synchronized hardware of large-scale model training. - Akash is built using the Cosmos SDK and launched its mainnet in September 2020. It is part of the broader ecosystem of Cosmos-based blockchains. - The platform is designed for cloud-native applications, allowing users to deploy Docker containers. Users define their CPU, memory, and storage needs in a file to receive bids from providers. - Competitors in the decentralized GPU marketplace include projects like io.net, Render Network, and Golem, all aiming to provide more affordable and efficient access to GPU power through crypto-incentivized models.
Key numbers
- - Akash Network operates a "reverse auction" marketplace where compute providers bid against each other to offer the lowest price for developer workloads, which can result in costs 60-86% lower than traditional cloud infrastructure providers.
- The project was co-founded in 2018 by Greg Osuri, who now serves as CEO of Overclock Labs, the primary contributor to the Akash Network.
- Homenode is specifically targeting owners of NVIDIA RTX 40-series or 50-series GPUs, estimating that a provider could cover the hardware cost within 17 months at a 50% utilization rate.
- Akash is built using the Cosmos SDK and launched its mainnet in September 2020.
What happens next
- Homenode is specifically targeting owners of NVIDIA RTX 40-series or 50-series GPUs, estimating that a provider could cover the hardware cost within 17 months at a 50% utilization rate.
Quick answers
What happened in Akash Launches Homenode for Decentralized AI Compute?
Akash Network launched an early access program for Homenode, a platform that allows everyday devices to contribute to a decentralized compute network. The initial phase enables users with high-end GPUs to offer their hardware for AI and developer workloads.
Why does Akash Launches Homenode for Decentralized AI Compute matter?
Akash Network operates a "reverse auction" marketplace where compute providers bid against each other to offer the lowest price for developer workloads, which can result in costs 60-86% lower than traditional cloud infrastructure providers. The project was co-founded in 2018 by Greg Osuri, who now serves as CEO of Overclock Labs, the primary contributor to the Akash Network. Osuri was previously the founder and CTO of AngelHack, a global developer ecosystem. Homenode is specifically targeting owners of NVIDIA RTX 40-series or 50-series GPUs, estimating that a provider could cover the hardware cost within 17 months at a 50% utilization rate. The network's native token, AKT, is used for securing the network through staking, governance, and as the primary medium of exchange for buying and selling computing resources. Decentralized GPU networks like Akash are primarily positioned as a cost-effective layer for AI inference, data preparation, and other tasks that can be partitioned and don't require the tightly synchronized hardware of large-scale model training. Akash is built using the Cosmos SDK and launched its mainnet in September 2020. It is part of the broader ecosystem of Cosmos-based blockchains. The platform is designed for cloud-native applications, allowing users to deploy Docker containers. Users define their CPU, memory, and storage needs in a file to receive bids from providers. Competitors in the decentralized GPU marketplace include projects like io.net, Render Network, and Golem, all aiming to provide more affordable and efficient access to GPU power through crypto-incentivized models.
