Never let token limits interrupt your workflow again.
Developers who keep getting cut off mid-session can now hot swap to AkashML.
Choose from DeepSeek V4 Flash, Kimi K2.6, or Qwen3.5 35B A3B and get back to building in minutes.
First 10 builders to make the switch and reply to this tweet with their experience get $100 in credits.
Get started → https://t.co/CI7mCy9eEr
Its really working soo good
Claude Code <> @akashnetAI - Kimi 2.6
I built an CLI tool to deploy app on using console APIs of @akashnet
Opensource models will win
@akashnet is crushing it on @OpenRouter via @akashnetAI.
In less than 2 months, the growth has been incredible.
Yesterday alone, usage reached 6.58B tokens, new ATH.
https://t.co/hrryps5XFc
Razer and @akashnet just scaled a free AI experience to thousands of users globally at the cost of $0.01 per image.
The secret? Two technologies built for completely different problems, working as one.
Here's how 🧵
$AKT @akashnet
AkashML is having a strong increase in OpenRouter traffic
Here are some stats:
- 50B+ tokens processed per month on OpenRouter
- Multiple days already hitting 5B+ tokens/day
- Multi-model demand (DeepSeek V4, Kimi 2.6, Qwen)
This is not random -> it is recurring organic inference demand flowing straight to decentralized GPUs
Powered by @akashnetAI
Today we're pleased to share how AVA Mini, @Razer’s personalized AI companion experience, was brought to life at global scale using Razer's AIKit and Akash.
By leveraging Razer AIKit’s inference capabilities on Akash’s decentralized compute network, managed by AkashML (@akashnetai), the team achieved:
• $0.01 per generated image
• 3.24 second average response time
• Seamless scaling during peak campaign demand
• Zero manual intervention across the campaign lifecycle
Read the complete whitepaper:
https://t.co/DTGl9JBuwg
♟️Your move, San Francisco
Networking doesn't have to be boring — join @akashnet & @MILibrary at @thehousesf on April 30th for an AI & Chess Mixer
We're taking 'Board Meeting' to a whole new level
Come hang out with us on Thursday, in San Francisco
https://t.co/bjhiSw883R
Now Available on AkashML: Kimi K2.6!
This open source agentic MoE model activates only 32B of its 1T parameters per token, delivering frontier-level performance built for sustained autonomous execution:
→ Long-horizon coding across Rust, Go, and Python
→ 256K context window with native multimodal support
→ Agent swarms scaling to 300 sub-agents and 4,000 coordinated steps
→ Autonomous execution that runs for hours without human oversight
Access Kimi K2.6 on AkashML: https://t.co/yGVdr2mbKj
Akash is teaming up with AWS to host the "Agentic Engineering Hackathon" this Friday in San Francisco. Join us if you're around!
https://t.co/gFtKa0FQvF
Hermes is rising through the ranks as the agent harness to use.
Deploy your own Hermes agent on @akashnet running on AkashML models with the Akash Agents platform, from the @AkashClub_ community.
I'll walk you through the entire way with my latest $AKT focused guide. 👀👇
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