Why Choose the Intel Gaudi 2?
Leading the Charge in Next-Gen AI Workload Management
Training and deploying large language models
The Intel Gaudi 2 is a good choice for training and deploying large language models (LLMs), such as GPT-3 and LaMDA. LLMs are used for a variety of tasks, including generating text, translating languages, and answering questions in an informative way.
Developing and deploying computer vision models
The Intel Gaudi 2 can also be used to develop and deploy computer vision models for tasks such as image recognition, object detection, and video analysis. Computer vision models are used in a variety of industries, including retail, healthcare, and manufacturing.
Accelerating natural language processing (NLP) workloads
The Intel Gaudi 2 can also be used to accelerate NLP workloads, such as text classification, sentiment analysis, and question answering. NLP workloads are used in a variety of industries, including customer service, marketing, and finance.
Enabling real-time AI inference
Intel Gaudi 2 can also be used to enable real-time AI inference. This means that AI models can be used to make predictions on data as it is being collected, without having to wait for the data to be processed and stored in a database. Real-time AI inference is used in a variety of applications, such as self-driving cars, fraud detection, and medical diagnosis.