Powering AI Through Decentralized GPU Infrastructure
Real AI workloads. Real GPU utilization. Transparent compute output powered by a globally distributed GPU network.
Live Job Stream
Anonymized tasks executing right nowWho do we supply tokens to?
As a leading global token producer, our tokens are supplied to the world's mainstream AI model providers, covering key markets across North America, Europe, and the Middle East. The companies below are a sample of our strategic partners in the AI industry — a snapshot of our international footprint across the sector.
OpenAI
GPT-5 · GPT-4.1 · o4-mini · gpt-image-2
Anthropic
Claude Opus 4.6 · Claude Sonnet 4.5 · Claude Haiku
Google DeepMind
Gemini 2.5 Pro · Gemini Flash · Gemma
Meta AI
Llama 3.1 · Llama 4 · Code Llama
xAI
Grok 3 · Grok 2 · Grok Vision
Microsoft
Phi-4 · Phi-3.5 · MAI-1
NVIDIA
Nemotron 70B · NVLM · Cosmos
AWS Bedrock
Nova Pro · Nova Lite · Titan
Mistral AI
Mistral Large 2 · Codestral · Pixtral
Cohere
Command R+ · Command R · Aya
Stability AI
Stable Diffusion 3.5 · SDXL · SD3
Black Forest Labs
FLUX.1 Pro · FLUX.1 Dev · FLUX Schnell
Databricks
DBRX Instruct · DBRX Base
AI21 Labs
Jamba 1.5 Large · Jamba 1.5 Mini
TII Falcon
Falcon 180B · Falcon 2 · Falcon Mamba
Hugging Face
SmolLM · StarCoder · BigCode
How the Qubrid AI Platform Works
From device deployment to token circulation — understand the Qubrid AI compute token model in five steps.
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1
Choose a Compute Device
From RTX to B200, GPU configurations for inference, training, and HPC workloads. All devices are hosted in US Tier 3+ data centers.
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2
Deploy & Go Live
Once provisioned, your device connects to the Qubrid AI compute network with enterprise networking and 24/7 NOC support — ready in minutes.
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3
Process AI Workloads
Devices process AI training, inference, and HPC tasks from enterprise clients. The platform monitors device status, utilization, and task completion in real time.
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4
Record Compute Contributions
Each completed compute task is recorded as a platform token — a traceable record of the device's compute output within the platform.
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5
Tokens Circulate on the Marketplace
Tokens can be listed on the Token Hall, connecting with enterprise AI teams that need compute capacity. Supply and demand determine price, with transparent settlement and delivery.
A live view of the GPU floor
Status, workloads, regions, throughput — refreshed continuously, never simulated for show.
GPU Fleet · Right Now
A snapshot of the network. Hover a row for details on the full dashboard.
| GPU ID | Status | Temp | Power | Util | Workload | Token Output |
|---|---|---|---|---|---|---|
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AI Workloads Running Now
The most common job types served on the network today.
Network Regions
Capacity is distributed across continents to minimise latency.
Deploy AI workloads in minutes
A production-grade API for inference, training, and rendering. No racks to manage, no contracts to negotiate.
REST API
OpenAI-compatible endpoints for chat, completions, and embeddings. Drop-in for existing apps.
Docker
Push your own container images and run them on idle GPUs across the network on demand.
vLLM
Tuned vLLM serving for Llama, Mistral, Mixtral, Falcon, and your private fine-tunes.
ComfyUI
Serverless ComfyUI workflows for SDXL, Flux, and custom image / video pipelines.
LoRA Training
Distributed LoRA fine-tuning with one-line job submission and automatic checkpoints.
Inference Endpoints
Dedicated endpoints with autoscaling, BYO-model, and per-second billing.