Generative AI (gen AI) and large language models (LLMs) are revolutionizing personal and professional lives. From supercharged digital assistants that manage email to seemingly omniscient chatbots ...

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...

We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).

Figure 1: Noam Shazeer, Google Gemini vice president, presented this in his Hot Chips 2025 talk. Noam Shazeer is Google’s vice president of engineering for Gemini, their LLM competitor to ChatGPT. He ...

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a ...

Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs via an online, browser-based interface. The more technically inclined ...

Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...

At the GPU Technology Conference (GTC) 2025, NVIDIA CEO Jensen Huang was mainly about Project GR00T and AI for humanoid robots and Blackwell Ultra. The Blackwell Ultra GPU will be in the second half ...

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra ...