RELEASE · COMPANIES · #624
Amazon SageMaker launches HyperPod Inference Gateway for GPU-aware LLM routing
Amazon announced the SageMaker HyperPod Inference Gateway, a Kubernetes-native EKS addon that routes OpenAI-compatible inference requests using real-time GPU signals (KV cache, queue depth, LoRA residency, etc.) to reduce first-token latency and GPU waste without application changes. The two-tier system offers per-cluster intelligent routing and fleet-wide coordination, deployable via a single InferenceGatewayConfig resource and emitting Prometheus/CloudWatch metrics.
KEY POINTS
- Amazon announced the SageMaker HyperPod Inference Gateway, a Kubernetes-native EKS addon that routes OpenAI-compatible inference requests using real-time GPU signals (KV cache, queue depth, LoRA residency, etc.) to reduce first-token latency and GPU waste without application changes.
- The two-tier system offers per-cluster intelligent routing and fleet-wide coordination, deployable via a single InferenceGatewayConfig resource and emitting Prometheus/CloudWatch metrics.
- This changes LLM inference deployments by replacing blind load-balancing with GPU-aware routing, which can cut first-token latency and improve GPU utilization without code changes.
WHY IT MATTERS
This changes LLM inference deployments by replacing blind load-balancing with GPU-aware routing, which can cut first-token latency and improve GPU utilization without code changes.
SOURCES & TIMELINE
1Eliminate GPU waste. Reduce first-token latency by up to 82%. Install one Kubernetes-native addon with zero application changes. Running large language models (LLMs) at scale on GPU clusters is expensive. The default Kubernetes load balancers are making it worse. Round-robin and least-connections algorithms have no visibility into what’s happening inside your GPUs: which pods have saturated KV caches, which are mid-…
Generative AI inference is uniquely hard: models are tens to hundreds of gigabytes, latency requirements are measured in tokens per second, cold starts can span multiple minutes as containers and weights transfer, GPU capacity is constrained, and traditional monitoring tools expose none of the token-level signals that matter in production. Amazon SageMaker AI offers customers the ability to deploy AI models and cons…