AI Factory Load Balancing
Eliminate idle GPUs with intelligent AI workload load balancing, efficient model routing and secure traffic management—helping save on inference costs and maximizing the return on your AI factory investment.
Minimize costs and maximize GPU utilization with AI factory tuning
AI workloads require efficient infrastructure to deliver their full potential, scale effortlessly, and minimize operating costs. F5 empowers your AI factory with industry-leading traffic management and security that optimizes performance and reduces latency. Whether integrated with advanced NVIDIA BlueField-3 DPUs or lightweight Kubernetes frameworks, F5 ensures every GPU is fully utilized, sensitive data is protected, and operational efficiency is maximized—helping you unlock faster AI insights and greater ROI for your infrastructure investments.
Scale AI inference and model training
Ensure every GPU in an AI Factory is utilized to its full potential by managing traffic and security on DPU hardware. F5 BIG-IP for Kubernetes on NVIDIA BlueField-3 DPUs streamlines the delivery of AI workloads going to and from GPU clusters, maximizing the efficiency of your AI networking infrastructure.
SOLUTIONS
Accelerating and optimizing AI factories
Accelerate, scale, and secure AI infrastructure. Integrate seamlessly into NVIDIA AI factories and simplify ease of deployment and operations through multi-tenancy support and a central point of control.
Token tracking and security
Track AI inferencing input and output tokens with telemetry logging, session tracking per user, token rate limiting, token-based LLM routing from premium to low parameter models, and token hard limits.
Cost-efficient LLM routing
Route prompts to the best-fit LLMs, reducing inference costs by up to 60% while improving speed and quality.
Secure and scalable agentic AI with MCP
Operationalizing and securing MCP for safe and sovereign agentic AI.
Products
Scaling AI systems requires infrastructure that maximizes performance and efficiency. F5 delivers high-performance traffic management, whether its offloading tasks from CPUs to DPUs or leveraging lightweight solutions for Kubernetes, to help reduce latency, trim power consumption, and ensure all GPUs are fully utilized.
Resources
Featured
Optimizing traffic management for AI factory data ingest ensures high throughput, low latency, and robust security, keeping AI models efficient and productive.