Hugging Face Generative AI Microservices (HUGS Inference) empowers you to rapidly deploy and scale open-source generative AI models with zero configuration. Leveraging optimized inference engines for leading hardware like NVIDIA GPUs, AMD GPUs, Intel GPUs, AWS Inferentia, Habana Gaudi, and Google TPUs, HUGS delivers unparalleled performance. Seamlessly integrate models via the industry-standard OpenAI API, simplifying development with tools like LangChain and LlamaIndex. Focus on building cutting-edge applications, not complex deployments. Benefit from enterprise-grade security, control, and compliance features, including SLAs and SOC2.

HUGS Inference supports a diverse range of popular open-source LLMs, multimodal, and embedding models, including Meta-Llama, Mistral, Qwen, Gemma, and more. Choose between optimized container versions (turbo and light) to balance performance and resource requirements. Deploy pre-configured microservices tailored to your hardware, eliminating manual setup and maximizing efficiency. With HUGS, go from concept to production in minutes, not weeks.

Keywords: Generative AI, Inference, Microservices, Open-Source Models, LLMs, Multimodal Models, Embedding Models, Zero-Configuration, Optimized Inference, NVIDIA GPUs, AMD GPUs, Intel GPUs, AWS Inferentia, Habana Gaudi, Google TPUs, OpenAI API, LangChain, LlamaIndex, Kubernetes, Scalability, Security, Compliance, SLA, SOC2, Enterprise-Ready, Hugging Face, Text Generation Inference, Transformers, Meta-Llama, Mistral, Qwen, Gemma.