Minimize latency, bolster security, and empower teams to accelerate model inference in Kubernetes and other environments. Get lightning-fast, reliable, and secure AI deployments.
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.
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.
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.
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 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.
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.
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.
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.
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.