Your data is a highly valuable asset. Your data must be made available for AI applications and application modernization in a way that:

Ingests data while retaining data sovereignty

Reduces cost and makes costs more predictable

Scales for deployment

Data Sovereignty - Data and model are not shared unless explicit permission is granted by the owner.

Data Security - Data is encrypted and secure even in a hostile environment.

Fractal Computing - Provides control over the physical location and movement of data and models.

Fractal Outcome:   Fractal secure computing platform ensures data never leaves the organization's control (in the cloud, on premise, and at the network edge).

Less Data Center / Cloud Resources Required - Fractal Computing moves centralized application functionality to distributed processing nodes (in the cloud and at the network edge) where they operate autonomously in parallel.

Cost of Distributed Node Hardware is Small - Fractal Computing makes extremely efficient use of hardware so small/inexpensive commodity hardware can be used.

Cost of Distributed Node Software is Small - Fractal Computing does not need expensive infractructure software platforms (eg. Oracle, VMware, etc.) so those costs are eliminated.

Hyper Optimized - Fractal engineers spent four decades distilling the enterprise application ecosystem down to the 1/10th of 1% that is the essential core -- and then hyper optimized that core so that applications can be built in 1/10th the time, run 10x faster, with 1/10th the cost in the cloud and at the network edge.

Fractal Outcome:   90% cost reduction in deployed systems with 10x performance improvement.

Scale Invariant Computing Architecture - In combination with localty of reference optimizations, eliminates a high percentage of I/O wait states.

Reduced I/O Wait Staes - Enables enterprise application functionality on much smaller, less expensive, hardware platforms.

Integrated DevOps - Embedded in the Fractal Software stack reduces staff and resources required for large system deployment, operation and maintenance.

Fractal Outcome:   AI applications scale into compute resources available across the organization.

Fractal Outcome:   Use cost savings to fund deployment of additional AI capabilities and futher application AI enablement.

A trillion dollars is being spent — because of the assumption that the only way to make software, or AI Agents, fast and scalable is to put everything in the cloud.

There is a more sustainable solution — with 1/10th the cost and a fraction of the energy needs and environmental impact.

Fractal Computing reimplements your software, your AI Agent, so that it is much smaller -- and places copies of the smaller software everywhere data resides. Fractal Computing coordinates the copies so they act as a single system. No cloud, no hyperscale data center, required.

Fractal Computing provides Locality of Reference optimization that ensures each copy has the data it needs to "do work" and can access that data faster than the cloud or data center.

Faster means less hardware, less energy, and less cost.

Fractal Computing provides a lower cost, more sustainable, solution.

See the Fractal Computing Substack for the latest news and commentary.

See the Fractal Utility microsite for our perspective on next generation utilities.

See the Sustainable Computing Initiative microsite for our perspective on next generation IT systems and enterprise applications.