PrimaLabs: The Application-Specific AI Inference Stack

AI applications place very different demands on inference. Coding agents reuse long context, vision-language systems process variable multimodal inputs, and generative recommendation models operate under strict latency requirements. A generic inference stack cannot maximize performance across all three. PrimaLabs delivers an application-specific inference stack engineered around each production workload. The platform jointly optimizes runtimes, kernels, caching, batching, scheduling, parallelism, and GPU infrastructure, then operates the resulting stack in an isolated environment.