Compute providers are climbing the stack
Three things shipped this week, and together they map three layers of decentralised AI maturing at once. Aethir, a GPU network, launched its own LLM API and now sells the inference instead of only renting the hardware that runs it. Akash shipped a base-layer upgrade that is live and burning. Allora put decentralised AI inference behind live trades on a regulated US prediction market. Same sector, three different bets on where the value sits.
What shipped this week
Aethir launched Aethir Mesh on 3 June 2026, a proprietary API layer serving open-weight models (DeepSeek V4, Kimi K2.6, GLM-5.1, Qwen3.6 and others) on its own decentralised GPU network. Managed access to open weights, closed operator. Aethir Mesh, launched 3 June 2026
Akash Network activated its Mainnet 18 upgrade (v2.1.0) on 11 June 2026, adding Oracle v2 and resource reclamation (AEP-82) on top of the burn-mint loop that went live in March. Upgrade notes, 11 June 2026
Allora Network began executing live trades on Kalshi, a CFTC-regulated prediction market, on 1 June 2026, through the Cobot product built on its inference network. PredictionNews, 1 June 2026
Aethir climbs the stack
The sharpest move of the week is Aethir selling inference. A GPU rental network that packages its own LLM API is competing with the customers it used to rent GPUs to. For users it’s convenient: managed access to a shelf of open-weight models without provisioning a single node.
The catch is sovereignty, the whole reason most people look at decentralised AI in the first place. Aethir Mesh is a hosted, proprietary API on a centralised operator, and we rate Aethir 3 out of 10 on our Freedom Score. It sits at the convenience end of the spectrum, where an OpenAI endpoint sits, and it does nothing for the control problem that self-hosting solves. Useful if you want open weights without the ops, and little help if you wanted to own the stack.
The same category, the opposite design
Akash is in the same compute bracket and made the opposite bet. Its Mainnet 18 upgrade hardens an Apache-2.0 base layer (we grade Akash a C, 66 out of 100 on Freedom) where the burn-mint loop now routes compute spend through an on-chain AKT buy. The scale gap is still the honest story here. At current lease revenue, burns offset only a fraction of issuance, so this is upgrade cadence rather than a step change. The point is the direction: Akash hardens the open layer, Aethir packages a closed product on top.
Allora is the application-layer signal. Decentralised AI inference output reaching a regulated venue is the kind of real-world endpoint the sector keeps promising and rarely ships. Worth one caveat on the token: a 48.55% insider cliff arrives in November 2026, which on our read could nearly double the circulating float in a single event, against revenue we still can’t verify.
Three layers, three sovereignty profiles. The week’s signal is that compute providers are no longer content to rent hardware. Some are climbing toward the product, and which way they climb is the thing to watch.
On the watchlist
Whether Aethir Mesh opens. The change that would move its Freedom Score is model portability or a self-host export path. A proprietary endpoint on a centralised operator is the convenient option, short of sovereign.
Akash burn scale. Oracle v2 and resource reclamation harden the base, but the number that matters is whether burn volume ever catches issuance. It hasn’t yet.
Allora’s November cliff. A 48.55% insider cliff, roughly five months out, lands against revenue we can’t verify. That’s the risk to size before the technical story.
From the site
New review: OpenServ (SERV). Credible research and a properly open SDK wrapped around a closed reasoning engine and a buyback-burn that has never run on-chain. Freedom 24, Returns 34, both an F.
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Cheers,
Bobski
Own Your Mind. Independent research on decentralised AI. No sponsors.
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Disclosure: OYM holds AKT.