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Dedicated Model Inference

Deploy models on dedicated infrastructure, engineered for speed. Purpose-built for teams who need control and the best economics.

Why Dedicated Inference

Designed for production workloads that need consistent performance and operational control.

Built for Production

Scale to hundreds of GPUs for always-on, production inference deployments. Reserved compute ensures your endpoints are never preempted.

Industry-Leading Economics

Our vertically integrated stack delivers the fastest deployments and best price-performance on top GPUs. Pay only for what you reserve.

Research-Powered Speed

We continuously roll out the latest optimizations — speculative decoding, kernel fusion, cache-aware scheduling — to keep your deployments fast.

Key Capabilities

Purpose-built features for AI-native teams

Adaptive Speculative Decoding

Faster OutputsLearns in ProductionLossless Quality

Cut latency on dedicated infrastructure with adaptive speculative decoding. Predict and validate multiple tokens per step to accelerate workloads continuously. No decoding bottlenecks.

Up to 3x faster

Deploy in Minutes

No DevOps RequiredLive in MinutesSimple Configuration

Launch dedicated endpoints in minutes by selecting a target model and hardware configuration. Establish production-ready inference environments without requiring deep infrastructure expertise.

< 5 min to deploy

Bring Your Own Model

Any HuggingFace ModelCustom ContainersUI or CLI

Deploy custom models directly from HuggingFace onto dedicated endpoints via the UI or CLI. Maintain complete ownership of your model weights while offloading infrastructure management.

10,000+ models supported

Deployment Options

Choose the right deployment mode for your workload

Dedicated Model Inference

An inference endpoint backed by reserved, isolated compute resources and our optimized inference engine.

Best for

  • Predictable or steady traffic
  • Latency-sensitive applications
  • High-throughput production workloads

Serverless Inference API

A fully managed inference API that automatically scales with request volume. No infrastructure to manage.

Best for

  • Variable or unpredictable traffic
  • Rapid prototyping and iteration
  • Cost-sensitive early-stage workloads

Production-Grade Security

Your data and models remain fully under your ownership, safeguarded by isolated compute environments, encrypted connections, and strict access controls.

Isolated compute Encrypted at rest & in transit Multi-region redundancy

Run inference with dedicated infrastructure

Reserved compute. Multi-region failover. Your models, your control.