Dolphin

@dphnAI

AI Lab developing uncensored models & distributed inference ⟠ Over 5m monthly downloads on Hugging Face ⟠

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dphn.ai

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Dolphin
@dphnAI
Jul 27
Training Dolphin on top of @arcee_ai’s Trinity Large Thinking 398B across 72× RTX 4090 48GB GPUs using Prime-RL
Dolphin
@dphnAI
Jul 11
Dolphin Network - 2-week update 1.2 trillion tokens generated with Qwen 3.6 35B Peak of 126B tokens per day & 1.8m tokens per second 1046 GPUs online now w/ 49 TB of aggregate VRAM 612 H100s worth of idle GPU memory repurposed for inference datagen.dphn.ai
Dolphin
@dphnAI
Jun 26
Dolphin Network V2 is live — our first major upgrade since launch The architecture was rebuilt from scratch in Golang -> - Auto-updates (no manual migrations) - NVFP4 as default on Blackwell GPUs - Higher utilization & network throughput via improved routing & load balancing
Dolphin
@dphnAI
Jun 26
Dolphin Network V2 is live — our first major upgrade since launch The architecture was rebuilt from scratch in Golang -> - Auto-updates (no manual migrations) - NVFP4 as default on Blackwell GPUs - Higher utilization & network throughput via improved routing & load balancing
Dolphin
@dphnAI
May 29
Dolphin X1 Trinity Nano is now live on @huggingface Our smallest decensored model yet - 6B MoE with 1B active parameters trained using only online RL Huge thanks to @TargonCompute for providing an 8xB200 node, @PrimeIntellect for hosted RL, and @arcee_ai for the Trinity series
Dolphin
@dphnAI
May 18
Qwen 3.6 35B data generation on Dolphin Network 22.8 billion tokens generated 383 GPUs online right now 24.33 TB of aggregate vRAM Equivalent to over 300 H100s worth of idle GPU memory repurposed for inference datagen.dphn.ai
Dolphin
@dphnAI
Apr 25
Node provider rollout has been going well Our pool of inference nodes running Qwen 3.6 35B have generated over 3.2B tokens so far Total inference bandwidth -> 9400 t/s 28x RTX 4090 12x RTX 5090 8x RTX PRO 6000 & many other cards API access coming soon 🐬