Deploy inference your way.
Bring your own Docker image for full control over GPU, scaling, and runtime. Or deploy a pre-optimized model from NetMind Hub in one click. Both run as dedicated endpoints with reserved GPU and hourly billing.
Custom Image
Your image, your rules.
Deploy your own Docker image with full control over GPU selection, container runtime, and scaling configuration. Ideal when you need a specific framework, custom model, or non-standard setup.
Bring Any Docker Image
Deploy from public or private registries. Provide your image URL, start command, and HTTP port — we handle the rest.
Full GPU Control
Choose your GPU model (H100, A100, RTX 4090, etc.), configure GPU count per worker, and select from available regions.
Flexible Scaling
Auto-scale based on concurrency or RPS with min/max worker limits. Or use manual scaling with scheduled tasks for predictable workloads.
Worker Logs & Monitoring
View real-time logs per worker instance. Monitor request volume, latency, throughput, and per-instance status from the dashboard.
NetMind Model
Pick a model. We handle the rest.
Deploy pre-optimized models from NetMind Hub without configuring images, GPUs, or containers. Same dedicated endpoint with reserved GPU, simplified setup.
One-Click Deployment
Select a model from NetMind Hub and deploy instantly. No image configuration, no GPU selection — we handle the infrastructure.
Pre-Optimized Models
Models on NetMind Hub are pre-optimized for inference performance. No need to tune runtime settings or container configurations.
Auto-Scaling Built In
Concurrency or RPS-based scaling with min/max worker limits, or manual scaling with scheduled tasks.
Managed Lifecycle
Deploy, stop, redeploy from the dashboard. Monitor request metrics and billing — without managing containers or GPU allocation.
Need custom or large-scale GPU capacity?
If you need large GPU capacity, can't find your preferred model in the list, or have custom requirements, contact us and we'll tailor a dedicated cluster plan for you.