A cloud-based AI system processes 4.8 terabytes of genomic data in 4 hours using parallel computing across 16 virtual nodes. If each node handles an equal share and processing time scales inversely with node count, how many hours would it take 64 nodes to process 19.2 terabytes?

Tue, 05 May 2026 00:14:53 +0000

**How Does a Cloud-Based AI System Process Genomic Data at Scale?** As genomic research accelerates, the demand for efficient, high-throughput data processing grows alongside it. Recent breakthroughs showcase a cloud-based AI system processing 4.8 terabytes of genomic data in just 4 hours using 16 virtual nodes, each sharing the workload equally. With processing time inversely proportional to the number of nodes, forward-thinking labs are rethinking how big data in medicine and genetics can be handled faster and more affordably. This shift isn’t just a technical win—it reflects a broader trend toward scalable, accessible cloud-powered AI that’s reshaping research, diagnostics, and personalized medicine across the U.S. --- **Why This Breakthrough Is Gaining Momentum**