We're excited to announce that we've been acquired by Overclock Labs! 🎉
We're looking forward to continue building on @akashnet in the open.
It has been a great journey and we believe the very best is ahead of us.
Cheers!
We are thrilled to announce our acquisition of @cloudmosio.
Cloudmos has been a standout contributor to the Akash ecosystem — developing widely-used tools including Cloudmos Alerts, Akashlytics, and Cloudmos Deploy.
Phase 1 of BME Incentivized Testnet goes live tomorrow at 9AM CT/3PM UTC!
Everyone is welcome to participate and earn $10K in $AKT rewards for valid submissions.
~4-5 hours estimated completion time.
Everything you need to get started ↓
→Testnet overview: https://t.co/gbYVzFbc9V
→Testplan: https://t.co/jMu3qvyQ57
→Discord: bme-incentivized-testnet-2026
It took about 3 years for Akash to collect the first $500k in user fees and 5 months to collect the second $500k.
How long will it take Akash to collect another $500k in fees?
Post your answer with date and time in UTC (e.g., 2024-10-30 10:00 UTC).
The closest answer wins 1,000 $AKT ($2,500).
LFG 🚀
73% of GPUs on Akash are utilized current, with daily fees setting a new all-time high again today. The product-market fit is uncanny with this utilization.
Provider Incentives Pilot (PIP) 2 will be available for a vote on-chain by the end of today to triple the GPU capacity.
These pilots are important to ensure minimal wastage and help us design an optimal distribution curve before removing the training wheels and going wild with on-chain incentives.
AI agents are being cute now with the meme economy; you have no idea what's coming when agents leverage permissionless $AKT incentives on Akash for self-preservation and propagation.
1/ The best way to profit from a gold rush is to sell shovels.
The best way to profit from the AI hype is to sell computing power.
Time to talk about Akash Network 👇 #DePIN#AI#CloudComputing
Akash Console 2.0 is here.
Since joining forces with @cloudmosio last year, @ovrclk_ has completed the full integration of Cloudmos Deploy into Akash Console.
Akash Console is now the best place to deploy 1-click templates, create custom deployments, view provider status, and much more.
Get started today:
https://t.co/N4zD6JuwXX
NeuralAI is tapping into the Akash Supercloud.
By leveraging Akash, they can access the NVIDIA A6000s needed to power their inference workloads and run $TAO miners — with plans to scale significantly over time.
Today, https://t.co/CAhMElNEjF is officially launching support for Akash GPUs.
Brev is on a mission to create the easiest way to develop with the leading open-source AI models and deploy on GPUs in the cloud. Purpose-built for developers who prioritize speed and simplicity.
Now, developers can 1-click deploy on NVIDIA H100s, A100s, and more at industry-leading pricing on the Akash Supercloud — directly from the Brev console.
Get ready for Akash Accelerate '24.
This will be the first full-day Akash summit, bringing the entire community together for a packed agenda of presentations and panels from the brightest minds in the Decentralized AI space.
When: May 28th, 2024 (before @consensus2024)
Where: Austin, TX
Learn more about Akash Accelerate and register today:
https://t.co/pf1xrRV32f
The first set of Akash lessons are live on Coinbase Learn.
Explore an overview of the network, learn how the Akash Supercloud helps users access and monetize compute resources, and earn $AKT.
Get started on the @coinbase app:
https://t.co/r8ekXpJWK4
Akashathon² is here.
The second Akash hackathon kicks off today, with a focus on AI, network tools, and deployments, and over $200,000 in $AKT prizes.
Join the official kickoff ceremony today at 10AM PST:
https://t.co/YDIxBovMvX
Register on @DoraHacks:
https://t.co/zfd5Pc3odO
The first successful training of a foundation model on Akash is complete.
The training cluster for Akash-Thumper-v1 (AT-1) was provisioned by ThumperAI (https://t.co/syWH2IZ7UJ) and @ovrclk_ via the Akash marketplace and utilized these resources:
> 32x A100 80GB PCIe GPUs
> 1,024 vCPUs
> 4,096GB of Memory
> 32TB NVMe Storage
> 1,920GB SSD
AT-1 is a first demonstration of a framework to train models using permissionless Akash compute.
Anyone can now build upon this work to complete new and novel training runs leveraging H100s and A100s at industry-leading pricing (as low as $1.50/hr for H100s).
Read the AT-1 blog post:
https://t.co/r2EEPvIhE8
Akash-Thumper-v1 (AT-1) on HuggingFace:
https://t.co/ZKwekR3rwU
There's a brand new way to easily browse GPU availability and pricing on Akash.
> H100 from $1.49/hr
> A100 from $0.78/hr
> A6000 from $0.49/hr
Browse available GPUs today:
https://t.co/LNQwYT7ajR
Disk Storage Capacity is the latest Akash core network metric to reach an all-time high.
The network supply has reached 1.19 Petabytes as of this post.