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

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

AI inference demand is at an inflection point, positioning Advanced Micro Devices, Inc. for significant data center and AI revenue growth in coming years. AMD’s MI300-series GPUs, ecosystem advances, ...

The market for serving up predictions from generative artificial intelligence, what's known as inference, is big business, with OpenAI reportedly on course to collect $3.4 billion in revenue this year ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...