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Meris Network Joins the Aethir Ecosystem as a Compute Provider

Meris Network joins Aethir's ecosystem as a compute provider, connecting shared GPU capacity with demand for decentralized AI inference.

Meris Network Joins the Aethir Ecosystem as a Compute Provider

Meris Network has become a compute provider in the Aethir ecosystem. Aethir operates a decentralized GPU cloud that offers graphics card resources for artificial intelligence, cloud gaming, and similar tasks requiring on-demand GPU power. Meris contributes a collection of GPU units into this cloud infrastructure. Aethir's users connect their personal machines, and Aethir manages the allocation of capacity for customers in need.

The platform already provides inference, rendering, and cloud-gaming workloads through various independent providers, ranging from high-performance servers to larger deployments. By integrating Meris, the supply expands to include GPUs that users already own and leave running. Meris Network is in its public release phase after a closed beta.

Any individual with an idle GPU can lend a portion of it. The user installs a worker on their computer holding the GPU and determines the amount of memory to share. The rest of the GPU remains with the machine. When the user requires GPU access, the worker steps aside, and when the GPU is available, it can handle inference jobs.

Customers pay to execute these jobs on the network, and lenders earn from the work their GPU completes. The setup is simple, runs in the background, and can be paused at any time. This creates a constant pool of inference capacity. Each lender may contribute a few gigabytes, while another might donate most of a larger GPU. Meris consolidates these contributions into a single network and distributes jobs across machines that are online.

A team seeking inference can approach Meris directly, and the same capacity can now be offered to customers who already purchase GPU time on Aethir. Both sides converge on inference. Aethir's customers require cards that can be booked as work arrives. Meris maintains a distributed set of GPUs online precisely for this purpose, while still allowing the lender to retain control of their machine.

A job can utilize a single capable card or be distributed across multiple machines, depending on the model and the memory each machine offers. This setup complements the dedicated servers already available through Aethir, providing both customers and lenders with a clear, straightforward path: work in, payment out, hardware remains in place.

Individuals lending through Meris maintain the controls they currently have. They decide the share of each GPU, monitor the machine in their account, and can pause usage whenever desired. Earnings are generated from the jobs successfully completed by the network. This relationship allows Aethir users to access the expanded capacity from Meris providers alongside the hosts already scheduled by Aethir.

Meris is welcoming new lenders and teams seeking inference capabilities. Aethir is extending its services to customers who desire GPU capacity from a decentralized cloud. Consequently, a GPU lent on Meris can cater to demand arriving through Aethir. This collaboration was announced through a press release by HackerNoon's Business Blogging program.

Written by urgent.news from HackerNoon's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at hackernoon.com →

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