Trained on one of the world’s largest real-world video datasets from Grass and hosted on Inference.net’s scalable AI infrastructure, the model delivers high-accuracy video annotation at a fraction of ...

NTT unveils AI inference LSI that enables real-time AI inference processing from ultra-high-definition video on edge devices and terminals with strict power constraints. Utilizes NTT-created AI ...

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 ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

At its Upgrade 2025 annual research and innovation summit, NTT Corporation (NTT) unveiled an AI inference large-scale integration (LSI) for the real-time processing of ultra-high-definition (UHD) ...

NTT has unveiled an AI inference chip for video processing on Edge devices and power-constrained terminals. According to the company, the large-scale integration (LSI) offers real-time AI processing ...

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go ...

This low-power technology is designed for edge and power-constrained terminal deployments in which conventional AI inferencing requires the compression of ultra-high-definition video for real-time ...