How AI Inference Can Unlock The Next Generation Of SaaS

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
The Financial Times

How ‘inference’ is driving competition to Nvidia’s AI chip dominance

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. Nvidia’s challengers are seizing a new opportunity to crack its dominance of artificial intelligence chips ...
Datacenter Dynamics

What is AI inference?

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
InfoWorld

Evolving Kubernetes for generative AI inference

Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and comprehensive feature set for managing distributed systems.
SiliconANGLE

Google ramps up GKE inference for faster, cheaper Kubernetes AI

Google Kubernetes Engine is moving from hype to hardened practice as teams chase lower latency, higher throughput and portability. In fact, the GKE inference conversation has moved away from ...