GPU Compute.Liquid & Ultra-Fast.
Ultra-fast inference by capturing live execution state. Ultra-cheap training of models. Zero cold starts, instant scaling, global deployment.
Built with enterprise-grade infrastructure
Built for the Future of AI
Everything you need to build, train, and deploy AI models at scale. No infrastructure management required.
Fast Inference
Optimized execution state capture for rapid model inference. Minimize cold starts with intelligent preloading.
Serverless GPUs
Dynamic resource allocation that scales with your workload. Access A100, H100, and L4 GPUs on demand.
Pay-Per-Use Pricing
No upfront costs or reserved capacity. Pay only for actual compute time, scale to zero when idle.
Enterprise Security
End-to-end encryption, isolated compute environments, and SOC 2 Type II compliance roadmap.
Multi-Region Deployment
Deploy to multiple cloud regions. Reduce latency by running inference closer to your users.
Simple API
Deploy models with a single function call. Python SDK and REST API for seamless integration.
Liquid Compute Architecture
Our revolutionary execution state capture technology enables instant model warm-up, eliminating cold starts entirely. GPUs are always ready, memory is always hot.
Live State Capture
Snapshot model execution state in real-time. Restore instantly on any GPU in our global fleet. Zero initialization overhead.
Smart GPU Routing
Intelligent request routing to the optimal GPU based on model affinity, geographic location, and current load. Sub-millisecond decisions.
Predictive Scaling
ML-powered autoscaling that predicts demand before it happens. Scale up in anticipation, scale down instantly when idle.
How Serverless GPU Hosting Works
From deployment to production in minutes. No DevOps required.
Deploy to GPU Cloud Instantly
Deploy your model to serverless GPUs with one function call. Get back a model ID and inference endpoint ready to use in seconds.
from cnalylabs import deploy
# Deploy your model
model = deploy("./flux-2-schnell")
# Returns model_id and endpoint
print(model.id) # "flux-2-abc123"
print(model.endpoint) # "api.cnalylabs.com/flux-2-abc123"from cnalylabs import run
# Call using model_id
result = run("flux-2-abc123", {
"prompt": "a watch on marble"
})
# Or use the endpoint directly
requests.post("api.cnalylabs.com/flux-2-abc123", ...)Run GPU Inference
Use the model ID to run GPU inference, or hit the endpoint directly from any language. Lightning-fast responses with zero cold starts.
Never Think About GPU Infra
We handle GPU selection, replicas, autoscaling, and failover automatically. Fast GPU hosting without the ops. You write code, we handle the rest.
Scale from 1 to 100+ replicas instantly
Built for Every AI Workload
From image generation to LLM inference, Cnalylabs powers the most demanding AI applications in production.
Image Generation
Deploy Stable Diffusion, DALL-E, and custom image models with sub-second generation times.
LLM Inference
Host and serve large language models at scale. Fine-tuned models, RAG pipelines, and more.
Video Processing
Real-time video analysis, generation, and transformation with GPU-accelerated pipelines.
Audio & Speech
Text-to-speech, speech recognition, and audio generation with ultra-low latency.
Model Training
Fine-tune and train models on our distributed GPU infrastructure. Pay only for what you use.
Custom Workloads
Any GPU workload you can imagine. Bring your containers and we handle the infrastructure.
Built for Performance
Enterprise-grade GPU infrastructure designed for reliability, speed, and cost efficiency.
The Modern GPU Cloud Platform
Purpose-built infrastructure for AI workloads. Focus on building your models, not managing infrastructure.
Instant Inference
Our live execution state capture technology eliminates cold starts, delivering sub-100ms model initialization.
Cost Efficient
Pay only for actual compute time. Scale to zero when idle with no minimum fees or reserved capacity required.
Enterprise Security
SOC 2 Type II compliance roadmap, end-to-end encryption, and isolated compute environments for your workloads.
99.9% SLA
Enterprise-grade reliability backed by our uptime commitment and 24/7 infrastructure monitoring.
Developer First
Simple Python SDK and REST API. Deploy models with a single function call, no DevOps expertise required.
Auto-Scaling
Automatically scale from 1 to hundreds of replicas based on demand. Handle traffic spikes seamlessly.
Pay Only for What You Use
Scale to zero, pay nothing when idle. Simple, transparent pricing with no hidden fees.
Starter
Perfect for experimentation and small projects
- 1,000 free GPU seconds/month
- Access to all GPU types
- Community support
- Basic monitoring
- Single region deployment
Pro
For growing teams and production workloads
- 50,000 GPU seconds/month
- Priority GPU access
- Email support
- Advanced monitoring & logs
- Multi-region deployment
- Custom domains
Enterprise
For large-scale AI infrastructure needs
- Unlimited GPU seconds
- Dedicated GPU clusters
- 24/7 priority support
- SLA guarantees
- On-premises deployment
- Custom integrations
- Security & compliance review
All plans include access to our Python SDK, REST API, and comprehensive documentation.
Ready to Make GPU Compute Liquid?
Deploy your AI models on serverless GPUs with our simple API. Get started in minutes. No credit card required for the free tier.