High-performance GPU backend
Run inference on enterprise NVIDIA GPUs optimized for fast response times and stable throughput.
Qubrid hosts and manages production-ready AI models on optimized GPU infrastructure.
Production-grade serverless inference so your team can ship features instead of managing infrastructure.
Run inference on enterprise NVIDIA GPUs optimized for fast response times and stable throughput.
Use optimized runtimes and compiled engines for higher throughput and lower serving cost.
Scale automatically from idle traffic to peak load without managing clusters or GPU capacity.
Integrate quickly with REST APIs and familiar SDK patterns for production applications.
Use managed model categories optimized for real production workloads.
Serve top open-source LLMs with scalable, low-latency inference APIs.
Run text, image, and mixed-input models through a unified inference interface.
Generate fast, reliable embeddings for semantic search, retrieval, and ranking.
Deploy computer vision inference pipelines for detection, classification, and analysis.
Power video generation and media pipelines with managed, on-demand GPU inference.
Focus on product logic and user experience while Qubrid handles scaling, uptime, and GPU operations.
import requests
import json
from pprint import pprint
url = "https://platform.qubrid.com/api/v1/qubridai/multimodal/chat"
headers = {
"Authorization": "Bearer {QUBRID_API_KEY}",
"Content-Type": "application/json"
}
data = {
"model": "qwen3-vl-30b-a3b-instruct",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image? Describe the main elements."
}
]
}
]
}
response = requests.post(url, headers=headers, json=data)
pprint(response.json())
Have questions? Want to Partner with us? Looking for larger deployments or custom fine-tuning? Let's collaborate on the right setup for your workloads.
"Qubrid's medical OCR and research parsing cut our document extraction time in half. We now have traceable pipelines and reproducible outputs that meet our compliance requirements."
Clinical AI Team
Research & Clinical Intelligence