Featherlite.ai is an enterprise-grade platform that empowers mid-market and large organizations to efficiently deploy and manage secure, private instances of large language models (LLMs) and embedding models, optimizing for cost and performance.
Featherlite.ai's always-on orchestrator ensures efficient deployment and management of LLM instances within seven minutes for a new instance. Scale in, Scale out n number of instances as per your traffic
Featherlite.ai's intelligent guard layer lets you configure filters for profanity, competitor checks, PII, Secrets and Toxicity. Our models are finetuned to avoid biases and lets you deploy for work environments
Our inflight request batching feature optimizes the processing of continuous requests, ensuring efficient and effective results. By intelligently grouping and processing requests during provisioning, we minimize latency and maximize throughput.
Featherlite.ai's inferencing solution ensures optimal performance in processing language models, allowing for efficient handling of up to 30 tokens per second per instance
Discover a wide range of pre-built models available in the AWS Marketplace, along with their launch templates. Choose the model that best suits your needs and get started with ease.
Featherlite.ai enables mid market and large enterprises to deploy and manage private, secure language model (LLM) and embedding model instances in their own cloud either public (AWS, Azure, GCP), private or on-prem deployments.
Discover how Featherlite.ai leverages AWS spot instances to significantly reduce deployment cost while ensuring optimal performance and security.
