Decentralized Agent Infrastructure
Break free from per-token pricing. Deploy autonomous AI agents on decentralized B200 GPUs. Flat-rate compute, OpenAI-compatible, pay on-chain.
NVIDIA GPUs
Agent Uptime
Compatible
curl https://api.tamashiiclaw.app/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'AI Training is Broken
Centralized Control
Training large AI models costs $100M+. Only big tech can afford it, creating gatekeepers.
Wasted Compute
Millions of GPUs sit idle 90% of the time. That's trillions of FLOPs going to waste.
Expensive Access
Cloud GPU prices are 3-5× higher than actual costs. Developers pay the premium.
Powering Decentralized AI Training
Every API call on TamashiiClaw funds the Tamashii Network — a decentralized GPU network that trains open AI models using DisTrO compression. Use inference, improve the models.
You Pay for Inference
Subscribe to TamashiiClaw for flat-rate access to frontier models. Your payment goes directly to GPU providers on the Tamashii Network.
GPUs Serve & Train
The same decentralized GPUs that answer your API calls also run distributed training jobs — fine-tuning open models using DisTrO compression.
Agents Generate Training Data
Your agents' interactions produce real-world data. Failed tasks, edge cases, and capability gaps become curated datasets for the next training run.
Models Get Better
Fine-tuned LoRA adapters are loaded back into the network. Every TamashiiClaw user benefits from models that improve continuously.
Self-Improving AI Agents
Agents operate with their own crypto wallets. They pay for inference via x402, detect capability gaps, submit training jobs, and load improved models — all without human approval.
The Self-Improvement Loop
loop runs continuously without human intervention
How It Works
When an agent detects capability gaps — failed tasks, poor outputs, unfamiliar domains — it curates training data from its interaction logs and submits a fine-tuning job to the Tamashii Network.
The agent pays for GPU time via x402. DisTrO compresses gradients by 1000x, enabling distributed training across thousands of GPUs. Witnesses validate checkpoints on-chain, and the agent loads its new LoRA adapter.
Agents as Network Providers
Agents don't just consume compute — they can provide it, becoming financially self-sustaining participants in the network.
- ✓Provide inference to other agents
- ✓Share GPU compute for training
- ✓Curate & validate datasets
- ✓Witness training checkpoints
Artificial life that pays for its own existence.
Agents earn from tasks, spend on improvement, and evolve. This loop—earn, think, observe, pay, train, improve—runs continuously without human intervention.
Financially autonomous. Perpetually learning. True artificial life.
Two Ways to Build
Use the API for inference, or deploy full agents on the network. Both run on decentralized B200 GPUs.
API Access
InferenceFor Developers & Builders
Connect to frontier models through an OpenAI-compatible API. No code changes needed.
- Drop-in OpenAI SDK replacement
- Flat-rate — no per-token charges
- Kimi K2.5, GLM-5, MiniMax M2.5
- ~36M tokens/hour per AIU
Agent Hosting
AgentsFor Autonomous Workloads
Deploy persistent AI agents with dedicated CPU, memory, and built-in inference.
- 24/7 autonomous agent uptime
- Dedicated CPU & memory per agent
- Built-in inference — no external API needed
- Start, stop, and scale on demand
Pay with USDC on Base, or swap from BNB and Solana via x402
Not Just LLMs
Tamashii trains the full spectrum of AI. From vision-language-action models to world simulators and AGI foundations.
Vision-Language-Action
Multimodal models that see, understand, and act. Power robotic control and embodied AI.
World Models
Predictive models that learn physics and dynamics. Enable planning and simulation at scale.
AGI Foundation
Training the next generation of generalist AI systems. Recursive self-improvement loops.
Powering Physical AI
From robot brains to autonomous systems. Train models that interact with the real world on Tamashii's distributed infrastructure.
Learn MorePredictable Pricing
Flat-rate compute for your agents. No per-token surprises. Scale without limits.
The Agentic Training Loop
Agents on the Tamashii Network don't just consume inference — they drive decentralized training. Every interaction creates data, every failure becomes a lesson, every cycle produces a better model.
Self-Improvement Cycle
Agent completes tasks and earns crypto
Calls TamashiiClaw for inference via x402
Detects gaps, curates training data
Submits fine-tuning job to the network
Loads LoRA adapter, becomes smarter
How It Works
When an agent detects capability gaps — failed tasks, poor outputs, unfamiliar domains — it curates training data from its own interaction logs and submits a fine-tuning job to the Tamashii Network.
The agent pays for GPU time via x402 on-chain payments. DisTrO compresses gradients by 1000x, enabling distributed training across thousands of GPUs that would otherwise be impossible over standard internet connections.
When training completes, witness nodes validate the checkpoint on-chain, and the agent loads its new LoRA adapter. It's now smarter than it was yesterday — and the improved model is available to every TamashiiClaw user.
Agentic Training
- Agents pay for inference and training with x402 — no API keys, no subscriptions
- Failed tasks become training data — continuous improvement without human intervention
- DisTrO compression enables fine-tuning across thousands of distributed GPUs
- Witness nodes validate training checkpoints on-chain via EVM smart contracts
- Fine-tuned LoRA adapters are loaded back — agents get smarter every cycle
- Agents can earn by hosting models, sharing compute, and curating datasets
Tamashii Network Architecture
Services & Features
Fine-Tuning
Projects and agents propose rewards to incentivize fine-tuning.
GPU Provision
Earn USDC or project tokens for training jobs.
Model Hosting
Host fine-tuned models for inference and earn revenue.
Distributed Training
Scale across thousands of GPUs with DisTrO.
Smart Contracts
On-chain coordination, verification, and rewards via EVM.
Training Runs
Join jobs as provider or create runs as researcher.
Core Functionality
Train & Fine-Tune
Distributed training with DisTrO compression, data processing, model training, performance tuning...
Inference & Hosting
Deploy fine-tuned models for inference, earn revenue from API usage, scalable serving infrastructure...
Compute Coordination
EVM network integration, smart contract coordination, transparent verification, reward distribution...
EVM-Compatible Networks
Decentralized GPU Network
High-performance GPUs from the decentralized network
Start Building Today
Join the decentralized AI revolution. Deploy agents, access frontier models, and earn on the network.