AI Inference

KT’s AutoModelRouter reportedly placed second in a global benchmark, putting model selection efficiency at the center of enterprise AI deployment.

AWS adds model caching to SageMaker HyperPod and prefix-aware routing to SageMaker Inference, targeting faster scale-out and lower LLM latency.

NVIDIA’s new inference guide ties GPU capacity and TCO to workload behavior, model optimization and flexible deployment instead of peak demand alone.

Nvidia is reportedly discussing a potential deal with Korean AI chip startup Rebellions, signaling broader interest in alternatives for AI inference and data-center workloads.

AMD is reported to be acquiring Taalas to add specialized AI inference silicon, potentially broadening its accelerator strategy beyond training workloads.

Analysts at Bernstein project Nvidia's upcoming Vera Rubin platform could deliver 5x better inference performance, positioning the company at an AI inflection point.

At GTC 2026, NVIDIA CEO Jensen Huang unveiled the Groq 3 LPX dedicated inference rack, Vera Rubin platform expansions, NemoClaw AI agent guardrails, and a $1 trillion AI chip demand forecast through 2027, signaling NVIDIA's bid to own the entire AI infrastructure stack.

Modal Labs in talks with General Catalyst for new round at $2.5B valuation, reflecting surging investor interest in AI inference infrastructure.

Tech predictions for 2026 indicate a major shift from AI model training to inference as the key differentiator. This will force enterprises to adopt open infrastructure and unified control planes like Kubernetes to win the 'inference wars' and deliver faster, local AI experiences.