Prediction: The AI "Inference Era" Will Crown a New Winner by the End of 2026

With Broadcom generating just under $64 billion in total revenue in fiscal 2025, the company is set to see explosive growth ...

How AI Inference Costs Are Reshaping The Cloud Economy

The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai

Mirai raised a $10 million seed to improve how AI models run on devices like smartphones and laptops.
Tech Xplore on MSN

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

Google’s Cloud AI lead on the three frontiers of model capability

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...
Network World

Nvidia claims 10x cost savings with open-source inference models

Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to ...

Alibaba's Qwen 3.5 397B-A17 beats its larger trillion-parameter model — at a fraction of the cost

These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...