MAGIC is collaborating with Intel to optimize Intel CPU architectures, driving cost reductions and advancements in generative AI and molecular research. By leveraging Fabric intelligent orchestration and optimization capabilities, the partnership enhances CPU performance for complex computations, such as protein folding and molecular dynamics.
High-performance molecular research and AI-driven computations require substantial processing power, often leading to high costs and resource constraints. Many organizations struggle with accessibility to the computational resources needed for large-scale scientific discoveries.
MAGIC, in collaboration with Intel, utilized Fabric AI-powered orchestration, routing, and optimization technologies to enhance the efficiency of Intel CPUs. This approach significantly improves computational performance, reduces resource requirements, and makes high-performance computing more accessible and cost-effective.
MAGIC enabled SES to map the Molecular Universe (10⁶⁰ molecules), accelerating battery material discovery through AI-driven simulations, optimizing efficiency, and driving next-generation energy solutions.
MAGIC enabled SES to map the Molecular Universe (10⁶⁰ molecules), accelerating battery material discovery through AI-driven simulations, optimizing efficiency, and driving next-generation energy solutions.
MAGIC optimized computational efficiency for Alphafold and small molecule research, reducing costs and accelerating discoveries in molecular biology and drug development.
MAGIC enhanced Intel CPU performance for AI and molecular research, optimizing computations like protein folding and molecular dynamics, reducing costs, and improving accessibility to high-performance computing.
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