Intel launches Xeon 6 for AI and high-performance computing, Gaudi 3 AI accelerators

Intel has released the Xeon 6 processor and Gaudi 3 AI accelerator to boost AI performance and lower total cost of ownership. The Xeon 6 delivers twice the performance of its predecessor, while the Gaudi 3 is designed for large-scale generative AI. Intel also introduced Lunar Lake processors for laptops with extended battery life and enhanced AI support.
Intel launches Xeon 6 for AI and high-performance computing, Gaudi 3 AI accelerators
Intel has launched its latest offerings in AI infrastructure: the Xeon 6 processor with Performance-cores (P-cores) and the Gaudi 3 AI accelerator. The company aims to provide powerful AI systems with improved performance per watt and lower total cost of ownership (TCO).
As per Intel, the Xeon 6 processor is built for compute-intensive tasks, offering twice the performance of its predecessor.
It has more cores, double the memory bandwidth, and built-in AI acceleration in every core, the company said. This processor is engineered to meet the performance demands of AI from edge to data centre and cloud environments.
The Gaudi 3 AI accelerator, on the other hand, is optimised for large-scale generative AI. It has 64 Tensor processor cores and 128GB of memory. It is compatible with PyTorch and Hugging Face models, and Intel has partnered with IBM to offer it as a service on IBM Cloud.
Intel has also announced that it is collaborating with OEMs like Dell Technologies to create tailored solutions for specific customer needs.

Intel’s Lunar Lake processors


The launch comes about 20 days after Intel launched the Lunar Lake processors. The laptops with the Intel Core Ultra 200V chips have started to hit shelves. Intel says that the new processors are aimed at meeting the consumers' demand for powerful performance, long-lasting battery life, wide application compatibility and enhanced security, along with Al support.
Intel claims that the new processors can deliver up to 20.1 hours battery life and are said to offer up to 120 total platform TOPS (tera operations per second) across central processing unit (CPU), graphic processing unit (GPU) and neural processing unit (NPU) for AI performance.
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