Dedicated Inference
Inference built around your workload.
Plan inference infrastructure for production workloads around throughput, latency, context length and deployment region.
What we offer
Dedicated GPU capacity
Reserve or isolate GPU resources and scale with throughput demand.
Model deployment & API
Deploy open models with OpenAI-compatible API access.
Performance & long-context tuning
Tune throughput, latency, concurrency, KV cache and long context.
Quantization
Evaluate NVFP4, FP8 and alternatives for your model and hardware.
Regional & private deployment
Choose deployment regions and private endpoints for data, network and compliance needs.
Engineered for production inference.
We take open models from adaptation, quantization and kernel optimization through caching, parallelism strategies and multi-node deployment, keeping them stable under real production load.
Inference engines
Optimization
Deployment profile
API
OpenAI-compatible
Streaming · SSE
Serving
Dedicated endpoint
Reserved capacity
Scale
Scale vertically or across nodes as workload grows.
Built for production inference
- High-volume API workloads
- Private enterprise inference
- Long-context applications
- Latency-sensitive applications
- Agent / AI platforms
- Custom model deployments
Submit your deployment request
Tell us about your workload and deployment requirements. We evaluate available options based on model, capacity and region.
Capacity, configuration, regions, pricing and availability are confirmed in your proposal.