The Latest News in AI

The newest system from Cerebras can handle multi-trillion parameter generative AI problems at twice the performance of its predecessor, while partnering with Qualcomm will help them cut inference processing costs by 10X. Cerebras Systems, the innovative startup who’s...

Thanks to innovations like DeepSeek, training AI has become cheaper. However, inference is becoming more demanding as we ask AI to think harder before answering our questions. Nvidia, Groq, and Cerebras Systems (clients of Cambrian-AI Research) have all released...

Nvidia’s largest customers (e.g., Google, Amazon, Microsoft, Meta, and OpenAI) are developing AI chips that compete with Nvidia, presenting a potential long-term threat to the AI leader. Jensen’s response? “We can help you do that.” Warning: this blog contains...

Nvidia broadens its reach to ensure that AI delivers on its promises. AMD is building faster chips, faster. The Market appears to prefers the former: Nvidia is up nearly 5%, while AMD is down ~2.5% today. Which is better? Well Elon Musk said Sunday on X that his xAI...

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play. Industry standard benchmarks have been an important feature of the IT landscape for decades, with SPEC, TPC, and other...

The company’s DSO.AI is helping chip designers run more experiments, make smaller chips, and speed performance. Three years ago, EDA vendor Synopsys started helping clients use reinforcement learning, an AI technique, to accelerate and improve physical chip layout...