Kalavai

Kalavai is an AI inference platform for scaleups and enterprises that aims to cut the cost of running models in production by improving how GPUs are used. Rather than tuning prompts or caching, it targets GPU utilization directly. Model multiplexing places layers from several models on the same GPU, multi tenant serving routes many requests into each model instance with continuous batching, and a scheduler optimizes for tokens per second per dollar. Workloads are placed on the cheapest suitable GPU across on premises hardware, cloud accounts and partner data centers. The platform includes a control plane to deploy, route and monitor models, access control, cost and usage tracking per user and model, and auto scaling of LLM replicas to match demand. Applications call an OpenAI compatible API. Compute is billed by the vRAM actually needed, with no resource quotas, and customers can mix their own hardware, cloud and Kalavai GPUs. Integrations named on the pricing page include Ray, vLLM, n8n and Stable Diffusion. The Basic plan is free, with pay as you go computing, public integrations, community support and basic usage analytics. Enterprise is priced through sales and adds bring your own compute, custom integrations, security and compliance, volume discounts, priority support, a dedicated account manager and SLA guarantees. Metered rates are billed by the second: GPUs run from $0.50 to $4.00 per hour depending on type, CPU is $0.02 per core hour, and RAM is $0.005 per GB hour. The vendor notes actual rates vary with availability and location.