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LiveUpdated 2026-09-19 18:06 UTC

AkashML

AkashML — is up and serving frontier models that you can easily switch to with out leaving claude…

AkashML is is up and serving frontier models that you can easily switch to with out leaving claude code. It is ranked #1145 on the Dev Radar, in Hosting & infra, first seen 16 days ago and shared in 1 post (4.3k views).

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What AkashML says about itself

High-performance, low latency AI inference service built on Akash Network. Access Llama, DeepSeek, and Qwen models with competitive pricing starting from $0.15/M tokens.

AkashML - Scale Your AI with High-Performance Inference Playground Models Pricing FAQs Docs Models Pricing FAQs Docs Explore Playground AI Inference Service Built on Akash Network Scale Your AI High-performance, low latency AI inference service built on Akash Network. Explore Playground Contact Sales Why Choose AkashML? Decentralized, high-performance AI inference — faster, cheaper, and more transparent than the cloud. Low Latency Akash's global infrastructure means your request spends the least amount of time getting to the model. Provider X 🇺🇸 Provider Y 🇩🇪 Global Scale Deploy anywhere, scale everywhere. With access to GPUs across 80+…

What people said about AkashML on X

https://akashml.com is up and serving frontier models that you can easily switch to with out leaving claude code

@gregosuri, 16 days ago · 89 likes · see the post

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AkashML in numbers

FAQ

What is AkashML?

is up and serving frontier models that you can easily switch to with out leaving claude code It was first shared on X 16 days ago and is ranked #1145 on the Dev Radar.

Is AkashML free?

It is a paid product.

Who shared AkashML?

1 account on X, including @gregosuri, in 1 post totalling 4.3k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 12.2k posts from 4.7k X accounts over the last 21 days, 1.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:06 UTC. Full method.