Core42, a G42 company, and Qualcomm Technologies, a global AI solutions leader, announced the launch of Compass 2.0. The platform was soft-launched in January 2024 and has successfully processed approximately 150 billion tokens since its inception.
Compass 2.0 utilizes the Qualcomm Cloud AI 100 Ultra inference accelerators to deliver industry-leading energy efficiency, portability, flexibility, and price performance for customers running modern AI workloads.
Access to open-source models
The platform now enables customers and partners to use a wide variety of pre-optimized GenAI, Embeddings, Computer Vision, and Natural Language Processing AI models easily through the Compass API.
The interface now includes Qualcomm’s inference-as-a-service to support pre-trained models and fully containerized and scalable solutions. Additionally, the platform provides Compass 2.0 users with access to multiple open-source models, including JAIS, the world’s most performant Arabic Large Language Model. It also provides access to Llama3 and Azure OpenAI GPT-4 family models.
Commenting on the launch, Kiril Evtimov, Group CTO of G42 and CEO of Core42, said: “Our joint efforts with Qualcomm Technologies on Compass 2.0 enable rapid deployment and seamless integration of many open-source AI models on an architecture optimized for inferencing.”
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Expert solutions and services
Compass 2.0 also enables expert solutions and services from application specialists, unlocking the potential of GenAI for applications such as the generation of human-like text for personalized multi-lingual conversational agents.
The platform can also create engagement and support assistants to provide 24/7 patient interaction and support. In addition, it can transform data into insights, convert text-to-image, translate, transcribe, and summarize documents.
Other functions of Compass 2.0 also include chat with retrieval augmented generation systems and code development and debugging.
“Core42’s Compass 2.0 revolutionizes the field of Generative AI. It enables easy access and deployment while maintaining high standards of privacy and customization,” said Rashid Attar, VP, Cloud Computing, Qualcomm Technologies, Inc.
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