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The scalability of DNA storage and in-DNA computing does not come from incremental improvements in electronic media. It comes from the intrinsic properties of molecular assembly and parallelism. xDNA Labs leverages these to extend storage capacity and query performance from megabytes to petabytes and ultimately to exabytes.

Combinatorial Address Space

A modest library of prefabricated DNA components divided into layers generates a combinatorial address space of extraordinary size.

Exponential expansion

Twelve layers with twenty-five components each yield trillions of unique identifiers. Expanding layers or components multiplies capacity exponentially a few hundred components spans exabyte-class archives.

No new chemistry required

The same combinatorial assembly method scales across orders of magnitude. Capacity grows by adding components to the library, not by redesigning the chemistry.

Write, Read & Compute Throughput

Physical Scalability

Sugar-cube volume

A sugar-cube-sized volume of DNA can store exabytes. Archives scale in milliliters and grams, not square meters and megawatts.

Replication without fabrication cost

Redundancy is achieved by amplifying aliquots of the same DNA library. Copies can be distributed across facilities for disaster recovery no additional synthesis required.
Unlike data centers that expand in rack units and kilowatts, DNA archives expand in grams. Multiple independent archives can be produced and distributed globally adding capacity without adding infrastructure footprint.

Compute Scalability

Select and quotient operate in constant or near-constant wet-lab steps regardless of archive size. This ensures query performance scales gracefully as archives grow: Parallel reactions allow multiple queries to run simultaneously further compressing real-world query time as archives grow.