Optimize, Scale, and Secure AI Interactions
Minimize latency, bolster security, and empower teams to accelerate model inference in Kubernetes and other environments. Get lightning-fast, reliable, and secure AI deployments.
Efficient Model Inference in Production at Scale
AI and machine learning (AI/ML) workloads are revolutionizing how businesses operate and innovate. Kubernetes, the de facto standard for container orchestration and management, is the platform of choice for powering scalable AI/ML workloads and inference models. F5 NGINX delivers better uptime, protection, and visibility at scale for AI/ML workloads across hybrid, multi-cloud Kubernetes environments, while reducing complexity and operational cost.
Simplify Operations
Operationalize AI/ML workloads easily and reliably with adaptive load balancing, non-disruptive reconfiguration, A/B testing, and canary deployments. Reduce complexity through consistency across environments.
Gain Insight
Improve model serving efficiency, uptime, and SLAs by resolving app connectivity issues quickly with extensive, granular metrics and dashboards using real-time and historical data.
Improve Security
Protect AI/ML workloads with strong security controls across distributed environments that don’t add extra complexity, overhead, or slow down release velocity or performance.
NGINX at the Core of AI Enterprise Security and Delivery
Simplify and streamline model serving, experimentation, monitoring, and security
NGINX facilitates the experimentation of new models and deployment without disruption. It allows you to collect, monitor, and analyze health and performance metrics for the model, improving its efficacy and accuracy while ensuring holistic protection through strong and consistent security controls.
How F5 Helps
Robust AI Uptime and Efficiency
Ensuring Continuous AI Service Delivery
NGINX advanced load balancing and health monitoring features reduce downtime, ensuring your AI services are always available when needed and directly supporting stringent SLAs and uptime guarantees.
Fortified Security and Compliance
Secure foundation for AI workloads
NGINX enhances Kubernetes environments with robust security features, including WAF capabilities and TLS encryption, to protect sensitive AI inference processes without sacrificing speed or agility.
Unmatched Scale and Flexibility
Adapting to your growing AI needs
Leverage NGINX's dynamic scaling capabilities to handle increasing AI workloads with ease, maintaining performance and user experience without the need for extensive architectural overhauls.
Resources
Featured
Scale, Secure, and Monitor AI/ML Workloads in Kubernetes with Ingress Controllers
Explore how Ingress controllers and F5 NGINX Connectivity Stack for Kubernetes can help simplify and streamline model serving, experimentation, monitoring, and security for AI/ML workloads.
Read the blogBlogs
A Quick Guide to Scaling AI/ML Workloads on Kubernetes ›
The Ingress Controller: Touchstone for Securing AI/ML Apps in Kubernetes ›
Comparison guides
Compare NGINX One to NGINX Open Source ›
Technical articles
Securing NVIDIA NIM Inference with NGINX Ingress Controller ›
Scalable AI Deployment: Harnessing OpenVINO and NGINX Plus for Efficient Inference ›
Reports
IDC Spotlight: Enhancing AI Workload Performance with Advanced Networking Solutions ›