Dedicated Inference, Dedicated Engineers.

Reserved GPU capacity dedicated to your workloads. Simple per-minute billing that makes cost forecasting straightforward. No per-token surprises. No cold start penalties. Your endpoints, always warm, always compiled, always optimized.

Choose the GPU that fits your workload's price-performance profile. MAX compiles natively for both NVIDIA and AMD - switch between vendors as pricing and availability shift. No other shared inference endpoint offers AMD. That's a pricing lever only Modular can give you.

Your dedicated Modular engineer profiles your production traffic, identifies latency bottlenecks, writes custom MAX architectures and Mojo kernels, and pushes optimizations to your deployment. Not quarterly business reviews - weekly optimization cycles. Not support tickets - engineers who ship code to your stack.

Bring your own model - fine-tuned, custom architecture, or proprietary weights. We can convert those to highly optimized MAX graphs. Upload and Modular Cloud compiles and serves it with the same $/token pricing. Custom Mojo kernels available for novel architectures. OpenAI-compatible API endpoint out of the box.

Other providers wrap vLLM or TensorRT and call it optimization. Modular's MLIR compiler fuses the entire inference path - graph, runtime, memory, scheduling - into a single compiled unit. Compilation is a deeper lever than configuration. That's why MAX is 2x faster.

MAX runtime is under 700MB. Alternatives ship 7GB+. That means new replicas start in seconds, not minutes. Model swaps are near-instant. Storage and bandwidth costs drop dramatically at scale. Cold starts that feel warm.