Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...

At a PTC panel in Hawaii last month, Verizon and industry peers discussed how AI is reshaping networks and data centres, prompting the US carrier to outline its strategy to leverage dense fibre and ...

As training costs soar, Microsoft is betting its latest chip on running models efficiently, not teaching them. JASON REDMOND/AFP via Getty Images Maia 200 is a custom application-specific integrated ...

Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generation. Maia 200 is an AI inference powerhouse: an ...

Jan 14 (Reuters) - OpenAI will purchase up to 750 megawatts of computing power over three years from chipmaker Cerebras as the ChatGPT maker looks to pull ahead in the AI race and meet the growing ...

Artificial intelligence chip startup Groq Inc. today announced that Nvidia Corp. will license its technology on a nonexclusive basis. The deal will also see the graphics card maker hire several key ...

Artificial intelligence startup Runware Ltd. wants to make high-performance inference accessible to every company and application developer after raising $50 million in Series A funding. It’s backed ...

Amazon Web Services (AMZN) has fully embraced the artificial intelligence revolution, launching its AI Factories and a new lineup of Nova models at re:Invent 2025 in Las Vegas today. While AWS already ...

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI workloads, analysts say. AWS has launched Flexible Training Plans (FTPs) for ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...