Progress® Kemp LoadMaster for AI Workloads
Intelligent application delivery for the AI era
About the Solution/Overview
AI workloads place new demands on application delivery with high‑volume traffic spikes, latency‑sensitive inference and hybrid deployment models. The Progress® Kemp® LoadMaster® solution provides the intelligent load balancing for AI workloads, giving AI-driven organizations the resilient application delivery foundation needed to operate at scale.
The LoadMaster solution provides fast, reliable, secure and GPU aware access to AI applications from model training pipelines to real‑time inference services whether deployed on‑premises, in the cloud, at the edge or all the above.
Intelligent Traffic Control for AI Applications
The LoadMaster solution provides advanced Layer 4 to Layer 7 application delivery to intelligently route, optimize and protect AI workloads and inference endpoints.
Advanced Health Checks
Maintain healthy inference endpoints and help AI services receive traffic, while supporting SLA driven AI experiences.
Application Awareness
Make traffic decisions based on application behavior, API endpoints and service health. This is critical for LLM inference where token volume and response time vary per request.
Built In Security
Improve protection for AI applications and APIs with integrated WAF, DDoS protection and traffic inspection, including defense against prompt injection and model abuse.
Hybrid and Multi Cloud Ready for AI Infrastructure
AI rarely lives in a single environment. The LoadMaster load balancing solution supports hybrid, multi cloud and edge deployments, enabling consistent application delivery policies across:
On-premises AI infrastructure
Deploy the LoadMaster solution as hardware or virtual appliance to front GPU clusters, inference servers and AI data pipelines.
Private and public cloud platforms
Consistent policy and performance across AWS, Azure, Google Cloud and private cloud.
Containerized and Kubernetes-based AI services
Automate publishing and scaling of AI microservices with the LoadMaster solution and Kemp Ingress Controller.
Enterprise-Grade Value Without Enterprise Complexity
The LoadMaster solution delivers high end ADC capabilities without high end cost or operational burden:
Predictable, Transparent Licensing
Rapid Deployment and Easy Management
GPU and Memory Aware Scheduling
Proven Reliability Across Thousands of Enterprise Customers
Lower TCO Compared to Legacy ADC Platforms
Deep Insights into Health and Performance of AI Workloads
Power Your AI Applications with Confidence
AI success depends on more than models and data. It depends on how reliably and securely those services are delivered.
Kubernetes Ingress for AI
Automate and optimize the publishing of microservices powering AI infrastructure.
Learn MoreAPI Security for AI Workloads
Web Application and API Protection (WAAP) to help protect AI workloads, inference endpoints and LLM APIs.
Learn MoreS3 Object Storage at AI Scale
Scale with confidence to meet increased demand on S3 object storage for AI training and inference data.
Learn MoreLoad Balancing AI Workloads FAQs
What is a load balancer for AI workloads?
A load balancer for AI workloads intelligently distributes incoming requests across multiple AI inference servers or model endpoints which helps mitigate resource bottlenecks. No single resource becomes a bottleneck. The LoadMaster solution provides this capability with real-time health monitoring, SSL offloading and flexible traffic distribution algorithms to keep AI services highly available and performant at scale.
Why do AI applications need intelligent application delivery?
AI applications demand consistent low latency, high throughput and seamless failover requirements that go beyond what basic networking can provide. Intelligent application delivery solutions like the LoadMaster load balancer help efficiently route AI traffic and backends are continuously health-checked and performance remains reliable even under unpredictable workload spikes.
Can the LoadMaster solution handle LLM and generative AI traffic?
Yes, the LoadMaster load balancing solution is designed to handle the unique demands of LLM and generative AI traffic, including long-lived connections and high-payload requests common with streaming responses. Its flexible load balancing algorithms and persistent session support helps distribute generative AI workloads efficiently across backend inference infrastructure.
How does LoadMaster secure AI APIs and inference endpoints?
The LoadMaster load balancing solution helps protect AI APIs and inference endpoints through SSL/TLS termination, Web Application Firewall (WAF) capabilities and access control policies that block unauthorized traffic before it reaches backend services. This maintains the performance and protection of the most sensitive AI workloads and proprietary model endpoints.
Does LoadMaster work in hybrid and multi cloud AI deployments?
Yes, the LoadMaster solution is built to support hybrid and multi-cloud environments, enabling organizations to distribute AI workloads across on-premises infrastructure, private clouds and public cloud platforms like AWS, Azure and Google Cloud. This flexibility maintains consistent application delivery and availability regardless of where AI services are hosted.
