Core42, Qualcomm launch Compass 2.0 to advance AI solutions

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Core42, a subsidiary of G42 and provider of sovereign cloud services, AI infrastructure, and solutions, together with Qualcomm Technologies, announced the official release of Compass 2.0.

The upgraded platform, which initially debuted in January earlier this year, has already processed 150 billion tokens.

Powered by Qualcomm Cloud AI 100 Ultra inference accelerators, Compass 2.0 aims to set new benchmarks in energy efficiency, flexibility and cost-effectiveness for enterprises leveraging cutting-edge artificial intelligence (AI) workloads.

The platform integrates Qualcomm’s inference-as-a-service, offering seamless support for pre-trained models and scalable solutions within fully containerised environments.

Core42’s Compass expands API capabilties

Designed to simplify AI model utilisation, Compass 2.0 expands its API capabilities to include a diverse range of optimised GenAI, embeddings, computer vision, and natural language processing models.

Additions to the platform include JAIS, acclaimed as the world’s leading Arabic large language model, alongside Azure OpenAI GPT-4 family models, broadening the scope for advanced AI applications.

Kiril Evtimov, group CTO of G42 and CEO of Core42, highlighted the collaborative effort with Qualcomm Technologies, stating, “Our partnership drives transformative advancements in AI accessibility and performance. Compass 2.0 facilitates rapid deployment of AI innovations, ensuring seamless integration on an optimised inferencing architecture.”

Rashid Attar, VP of Cloud Computing at Qualcomm Technologies, expressed enthusiasm about the platform’s potential impact, emphasising, “Compass 2.0 heralds a new era in Generative AI capabilities.

“Through our continued collaboration with G42, we aim to empower organisations globally, enhancing data analytics precision and language comprehension across diverse sectors.”

The launch of Compass 2.0 signifies a significant stride towards democratising AI applications, promising enhanced efficiencies in personalised conversational agents, patient interaction systems, recommendation engines, and text-to-image solutions.

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