Akash Network 是一個建立在區塊鏈上的去中心化雲端運算市場，提供開源替代方案以取代中心化服務提供商。它利用未使用的運算資源，提供價格合理、安全且可擴展的雲端服務，專注於 AI 工作負載和無需許可的存取。
新聞
"unequal access to AI" is the core mission of @akashnet never in my life i tought i would hear this from the chinese leader https://x.com/Polymarket/status/2077972058214977810
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. https://x.com/dee_bo
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 been reaching new A
10 billions tokens a day today on Akash ML, new ATH https://x.com/akashnetAI/status/2072118318434300230
Networks like @akashnet will enable consumers to jump into decentralized training swarms. https://x.com/akashnet/status/2069848542584201265
Use these settings in your Claude Code instantly switch to @akashnetAI Sonnet --> DeepSeek V4 Flash Opus --> GLM 5.2 Haiku --> Qwen 3.5 35B A38 https://x.com/PhilipSkeete/status/2070576377276056057
I have fully switched to using @akashnetAI for coding from Claude the past few days and dont miss closed models at all. The convergence is here. https://x.com/shawmakesmagic/status/2070559132806152656
30 days ago, @akashnetAI was averaging 5 billion tokens a day. Today, AkashML processes more than that before 8 am, with yesterday setting an ATH.
Networks like @akashnet will enable consumers to jump into decentralized training swarms. https://x.com/akashnet/status/2069848542584201265
GLM 5.2 is super simple to use with @akashnetAI You can straight up use with your Claude code or Opencode in a few simple steps. https://x.com/tombishop_91/status/2070116363902062932