Truly Private Enterprise LLM Deployments, at Scale
Highly optimized LLM, multi-modal, and embedding model deployments for on-prem or within your private VPC.
Launch optimized LLM and embedding models directly from our curated catalog. Effortlessly add new models to expand capabilities. Each pre-configured deployment is tuned for performance, ensuring a seamless experience across development, testing, and production stages.
Achieve fully private deployments for any model, whether from Huggingface, MLFlow, NVIDIA NIMs, or custom fine-tuned sources. Keep data and models under your control, ensuring top-tier security and compliance in on-prem or private cloud environments.
Leverage SkyPilot’s enterprise-grade capabilities to burst seamlessly into the cloud when necessary. Configure clusters, track deployments, and manage resources through an intuitive UI, ensuring cost-efficiency, scalability, and simplified operations for mission-critical AI workloads.
Implement dynamic scaling for your deployments, automatically adjusting resources based on incoming traffic. Models restart or scale back when demand drops, enabling consistent performance, cost control, and a frictionless user experience at any volume.
Integrated Support For NIMs
Accelerate production with hyper-optimized NVIDIA NIMs models from the catalog, ensuring top-tier performance for compute-intensive enterprise workloads while maintaining security.
Optimized Inference
Benefit from multi-GPU processing, request batching, and advanced parallelization for minimal latency, confidently delivering high-throughput inference across diverse enterprise applications.
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Wide Support
Leverage popular serving libraries—KServe, vLLM, TGI, and AWQ—to build versatile, enterprise-grade deployments matching your organization’s unique operational needs without sacrificing performance.
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Fine-Grained Access Control
Enforce role-based permissions to safeguard private endpoints, restricting model, data, and API usage exclusively to authorized enterprise teams and users.
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Comprehensive Usage Analytics
Monitor token consumption and API calls in real time with detailed dashboards, optimizing performance for each deployment or model instance.
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Secure Model Lifecycle Management
Deploy, manage, and monitor models within a robust security framework, maintaining enterprise-grade safety and compliance standards throughout mission-critical AI workloads.
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