FMAX is a versatile AI inferencing platform optimized for CPUs. It is built to excel in real-time applications and resource-constrained environments, enabling precise model optimization and deployment across varied hardware platforms, including cloud, edge, and workstations. Supporting the latest, most advanced Large Language Models (LLMs) such as Llama and Stable Diffusion for natural language processing and image synthesis, as well as classical machine learning (ML) for building predictive and forecasting applications, FMAX is the ideal platform for developers and businesses to deploy powerful predictive and generative AI applications that delight their customers.

KEY FEATURES

Optimization for CPUs

• Real-time Performance. Tailored for applications requiring low latency, ensuring rapid response times and seamless user experiences
• Enhanced Efficiency. Leverage the full potential of Intel or AMD CPU architectures for high-performance AI inferencing, reducing dependency on specialized hardware
• Carbon Reduction. Optimize energy usage with CPU-based solutions, contributing to significant reductions in carbon emissions compared to GPU-based alternatives

Versatile Deployment Options

• Cloud Environments. Deploy AI models in your own private cloud, maintaining data privacy and regulatory compliance
• Edge Devices. Extend AI capabilities to edge devices, enabling intelligent decision-making closer to data sources and reducing overall latency
• Workstations. Harness local computational resources for high-performance AI inferencing on personal or enterprise workstations

Broad Application Support

• Generative AI Models. Facilitate advanced generative AI applications, including vision models for image recognition and generation
• Large Language Models (LLMs). Deploy models like Llama (and their small-language-model variants) for sophisticated natural language processing tasks
• Classical Machine Learning. Support classical ML algorithms such as gradient boosting and clustering, offering robust solutions for various business needs

BENEFITS

For Developers

• Ease of Use. Streamlined workflows for model fine-tuning, optimization and deployment, reducing development time and complexity
• Flexibility. Adapt to various deployment scenarios, ensuring your AI applications can scale and perform optimally in diverse environments
• Cost-Effective. Leverage widely available CPUs without requiring dedicated GPU servers

For Enterprises

• ROI. Maximize existing CPU infrastructure investments to reduce costs and increase return on investment (ROI)
• Scalability. Seamlessly scale AI solutions across different operational contexts, maintaining performance and reliability
• Governance. Ensure compliance, security, access control and more with robust governance features