Self-custody users on Akash can now access their wallet deployments directly through Console Air.
Run docker containers without setup friction.
↓ Connect and deploy here.
air.akash.network
This conversation between @gregosuri and @RealAllinCrypto gets into the real world problems driving Akash’s mission.
Not the narrative, but the compute bottlenecks shaping where the Akash marketplace is headed.
AI is scaling faster than the infrastructure behind it. We sat down with @gregosuri from @akashnet to discuss the coming compute crisis, local AI, decentralized cloud and how idle GPUs could help power what comes next. x.com/i/broadcasts/1…
Can vouch that affordable fast inference is in high demand.
The chart for AkashML has been steadily increasing just in the past two months.
Today looks primed for a new ATH.
All powered by @akashnet.
With closed AI, your knowledge and know-how leak with every prompt and correction.
The fix is open models on 👉 compute you control. The frontier isn't the point anymore. Not on cost. Not on risk.
Your learning loop should compound your firm's value, not your vendor's.
@akashnet is excited to be involved in the Energy Investor Forum @EIF_Global on July 23rd.
@gregosuri will be joining the session, 'Private Markets: Financing the Compute Economy'
Use code EIF20 for 20% off passes: EIF2026.com
Most knowledge workers will own a GPU the way they own a PC to run AI locally. The economics of metered intelligence makes this inevitable.
Akash Homenode turning all of the idle compute that follows into a connected marketplace is where the real story begins.
Full thesis 👇
Open source isn't bad for AI spending, it redirects where the money is spent.
Enterprises that don't want a vendor holding their data won't skip AI. They'll run open models on infrastructure they control.
Akash has been running permissionless, sovereign deployments since 2020.
Mizuho note this AM is a lot of hand wringing over media narrative and open source. Misses the nuance.
Open source isn’t bad for AI spending.... may actually be one of the biggest accelerants bc enterprise can deploy AI more broadly when not locked into the most expensive
Also...if open-source AI is becoming a major enterprise on-ramp, the US should be investing in its own open model ecosystem. Alongside the frontier labs
Take a quick look into the strategic thinking behind distributed compute and the future of gaming's business models, from a conversation between @gregosuri and Quyen Quach, VP of Software at Razer, on @ceoworld.
🔗 ceoworld.biz/2026/06/02/dis…
The @ovrclk_ AI team has been hard at work making @akashnetAI the best inference offering in the market and its starting to pay off.
A week ago we set a new record with 10 billion tokens processed per day, today we're about to nearly double that to 17 billion tokens.
We've also
As @CosmostationVD winds down their validator operations, those affect can re-delegate their $AKT funds to another active Akash Validator to continue to earn staking rewards.
For your convenience, here is a list of Akash's validators: mintscan.io/akash/validato…
Cosmostation will discontinue validator operations for the following networks effective July 3. Please redelegate to another validator.
Agoric — @agoric
Akash — @akashnet
Archway — @archwayHQ
Band — @BandProtocol
Kava — @KAVA_CHAIN
MANTRA — @MANTRA_Chain
Regen Network —
AI is scaling faster than the infrastructure behind it. We sat down with @gregosuri from @akashnet to discuss the coming compute crisis, local AI, decentralized cloud and how idle GPUs could help power what comes next.