MAGIC is collaborating with Harvard Medical School and Boston Children’s Hospital to enhance computational efficiency in critical research areas, including Alphafold and small molecule studies. The partnership aims to significantly reduce processing costs and increase resource accessibility, accelerating groundbreaking discoveries in molecular biology and drug development.
The institutions were facing challenges with the computational power required to process vast amounts of molecular data and perform complex simulations in a timely manner. High processing costs and limited resource accessibility were significant barriers to accelerating research.
MAGIC leveraged Fabric optimized computational hypergrid to provide an advanced AI-driven infrastructure. This solution significantly reduced processing costs and expanded resource accessibility, making complex studies like Alphafold and small molecule research more efficient 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 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.
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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