📄️ OpenAI API Compatible
LLMBoost provides full compatibility with OpenAI's API, allowing you to migrate existing applications with zero code changes. Simply point your OpenAI client to LLMBoost's endpoint and enjoy superior performance without rewriting your application.
📄️ SLO Aware Serving
Instead of contiunous batching, LLMBoost leverage a customizable service level objective (SLO)-aware scheduling to offer users the flexibility to meet specific SLO constraints while at the same time keep high throughput.
📄️ Single-Node Multi-GPU
LLMBoost provides intelligent multi-GPU parallelism to maximize performance and handle large models efficiently. Scale inference across multiple GPUs on a single server with automatic or manual configuration.
📄️ Multi-Node Deployment
Deploy LLMBoost across multiple nodes in a Kubernetes cluster with automatic orchestration, load balancing, and monitoring. Scale your inference infrastructure to handle production workloads with enterprise-grade reliability.
🗃️ Supported Metrics (Multi-node)
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📄️ Streaming
LLMBoost supports real-time token-by-token streaming for interactive applications, enabling responsive user experiences with immediate feedback as the model generates text.
📄️ Vision (Multimodal)
LLMBoost supports multimodal vision models that can understand and reason about images, enabling applications like image captioning, visual question answering, and content moderation.