When closed AI tries to own the future...
A super capyrises. Cape flying. Flag high.
@Gradient_HQ is building the real swarm. No gates. No rent. Just open intelligence.
๐ดTHINK OPEN forever
#THINKOPEN#GradientNetwork@tryParallax
max bidding infra unsustainable when thereโs limited electricity and other resources.
async and edge should be the next efficiency based bet to serve
๐งฉ@Gradient_HQ Puzzle Mastermind!
Play from now til June 6th 1AM EDT!
๐ Top 10 Participants will receive Quiz Mastermind on Discord!
Rules:
- username must match DC username
- play as many times & anytime you want during event duration
./ puzzle here: https://t.co/TWMxUb6FTw
๐DSD: Decentralized AI Just Got Fast
๐ตTurns network lag into speed. Small draft model predicts ahead, main model verifies in parallel.
๐น2.6x faster โข 37% less traffic โข Zero accuracy loss
๐นParallax + Gradient =๐ฅ
The future of distributed LLMs is here
@Gradient_HQ
nvidia going all in on local ai.
here's our take: it shouldn't depend on which chip you bought.
sparks, macs, the 5090 already on your desk, we cluster across all of it and split your favorite model pipeline-parallel so it runs fully private and local.
CommonStack ๐ฅ
One API. 40+ beasts. Zero drama.
Smart routes your prompts to the fastest & cheapest model _ Claude, DeepSeek, Qwen, whatever cooks best.
Pay-as-you-go, no key chaos.
Just plug in and go nuclear. โก
CommonStack = AI without the headache.
@commonstack_ai
๐ BUILD WITHOUT PERMISSION. SCALE WITHOUT LIMITS.
Big Techโs compute monopoly is dead.
Gradient turns idle GPUs worldwide into a community-owned AI supercluster on Solana.
No gatekeepers. No rent. Just pure open power.
The swarm is here.
@Gradient_HQ@tryParallax
Uncommonroute trained router matches Claude Opus 4.6 in SWE-bench Verified evaluation.
In TwinRouterBench you test realism agentic trajectories and the results are staggering:
Uncommonroute Trained vs Claude Opus 4.6
75/100 vs 74/100 (matched in resolution)
$25.66 vs $54.73 (53% cost saving with Uncommonroute trained)
Models cost more now with advanced reasoning and agentic tasks, time to save to get same quality at a better price.
๐Echo-2: Democratizing RL for LLMs
@Gradient_HQ Echo-2 delivers 10x faster & cheaper post-training using async distributed rollouts on decentralized GPUs.
๐น$425 vs $4,490 for 30B model
๐นSame quality
๐นNo hyperscaler needed
Small teams can now compete. Game changer.
๐ End of Closed AI
Big Tech locked AI behind walls.
@Gradient_HQ just smashed them.
Open Intelligence Stack + Parallax lets you:
โ Train freely
โ Infer fast
โ Fine-tune without permission
Decentralized. Owned. Unstoppable.
The future is open. โก
#THINKOPEN
The AI stack that actually makes sense.
@commonstack_ai gives you one clean API with all the best models and smart routing that cuts costs hard.
๐นNo more juggling API keys or dealing with headaches.
@Gradient_HQ@commonstack_ai#AI#LLM#OpenSource
Chess Night with @Gradient_HQ โ๏ธ
Come connect, compete & vibe with the community!
๐ May 19th
๐ Passcode: 2099
Join on Lichess + Discord ๐
https://t.co/RKg9l9xrlT
Whoโs joining the board? ๐ฅ
current data center stack largely overlooks orchestration and coordination
if agents are going to be powered with inference your orchestration of resources will be the bread and butter for your margin
also SaaS with effective post trained agentic tools are severely overlooked
๐ ๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐
@Gradient_HQ Open Intelligence Stack gives you the full power
๐นTraining
๐นInference
๐นFine-tuning
Powered by Parallax your hardware + global swarm = real sovereign compute.
๐ดOwn it all. No renting. No restrictions.
#THINKOPEN๐