FriendliAI
FriendliAI: Scalable Generative AI Infrastructure for Business Applications

About FriendliAI
FriendliAI is a leading provider of generative AI infrastructure, enabling businesses to deploy large language models (LLMs) and multimodal AI systems efficiently and securely.
Their platform features groundbreaking optimizations like Continuous Batching, Friendli DNN Library, and native quantization techniques (FP8, INT8, AWQ) that deliver 50-90% cost savings, 6× higher throughput, and lower latency.
The company supports open-source models from Hugging Face and custom models, with seamless deployment options including serverless endpoints, dedicated endpoints, and container solutions.
Their all-in-one platform simplifies building, serving, and monitoring AI agents, with features like real-time data integration via Retrieval-Augmented Generation (RAG), robust security, autoscaling, and flexible infrastructure choices—cloud or on-premise.
Partnering with industry leaders like Hugging Face, FriendliAI ensures fast, reliable, and scalable AI inference for diverse enterprise needs.
Their solutions serve clients like SK Telecom and NextDay AI, demonstrating reliability, cost savings, and growth facilitation.
With a focus on ease of deployment, high performance, and security, FriendliAI empowers organizations to accelerate AI adoption and innovation..
Smart Features
- High-performance inference with 50-90% cost savings and 6× throughput increase
- Support for open-source and custom models with native quantization (FP8, INT8, AWQ)
- Groundbreaking optimization techniques like Continuous Batching and Friendli DNN Library
- Flexible deployment options: serverless, dedicated, and container solutions
- Real-time data integration with Retrieval-Augmented Generation (RAG)
- Advanced monitoring, debugging, and API reliability tools
- Robust security and compliance in cloud or on-premise environments
- Auto-scaling capabilities to handle growing demands efficiently
- Seamless integration with tools like Hugging Face and internal systems
Use Cases & Applications
- Deploying large language models (LLMs) for enterprise applications
- Building AI-powered chatbots and virtual assistants
- Developing complex AI agents with tool integrations
- Real-time knowledge update and retrieval with RAG
- Cost-efficient inference for high-volume AI workloads
- Secure AI deployments within corporate infrastructure
- Scaling AI solutions for telecom, customer service, and content generation
Who is it for?
- AI developers and data scientists building large language models
- Enterprises seeking scalable and reliable AI inference solutions
- Tech companies deploying AI chatbots and virtual assistants
- Organizations prioritizing data security and compliance
- Businesses looking to reduce AI operational costs
- Research institutions experimenting with multimodal AI models
Business Opportunities in FriendliAI
Leverage FriendliAI’s scalable AI infrastructure to develop custom AI solutions or AI-powered applications for niche markets.
By offering AI deployment, monitoring, and optimization services, entrepreneurs can serve clients seeking efficient, secure, and high-performance AI models.
Additionally, creating specialized AI chatbots or tools tailored to specific industries can generate revenue with minimal infrastructure investment, capitalizing on FriendliAI’s flexible deployment options and advanced technology stack..
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