For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...

OpenAI partners with Cerebras to add 750 MW of low-latency AI compute, aiming to speed up real-time inference and scale ...

The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed ...

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...

DDN, the world’s leading AI data platform provider, today announced deep collaboration with NVIDIA to support the company’s ...

MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...

Google DeepMind’s recent research offers a fresh perspective on optimizing large language models (LLMs) like OpenAI’s ChatGPT-o1. Instead of merely increasing model parameters, the study emphasizes ...

Yi Shi is the founder of FlashIntel, pioneering AI agent software. A computer science expert & e/acc proponent shaping transformative tech. After years of building AI products and autonomous agents, ...

Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

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Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are ...