Extend Your Infrastructure

Multiverse Computing helps large enterprises reduce CAPEX and OPEX, extend the lifetime of existing infrastructure, and deploy advanced AI while preserving data sovereignty, privacy, and security.

Reduced GPU needs

Immediate CAPEX savings by minimizing the need for high-end or additional GPUs.

Extended infrastructure lifetime

Run state-of-the-art models on existing hardware without upgrading or acquiring new equipment.

Lower energy consumption (-50% to -80%)

Reduce OPEX while improving sustainability and ESG performance.

Private and compliant AI models

Deploy models fully within the corporate perimeter and comply with GDPR, MiFID, HIPAA, and other regulations.

More efficient on-prem deployments

Lower pressure on racks, power, and cooling across datacenter infrastructure.

Tailored and co-developed solutions

Fine-tuned models for specific use cases, with integration into internal workflows, data governance, and MLOps. Custom adaptations available when needed.

Pain Points We Solve

High CAPEX on GPUs and infrastructure

Large upfront investments required to support AI workloads.

Fast hardware obsolescence

Equipment becomes outdated in roughly 24–36 months.

Space, power, and cooling constraints

Datacenters struggle to accommodate growing compute demands.

Data security and confidentiality risks

Sensitive data cannot leave the corporate infrastructure.

Regulatory and compliance restrictions

Cloud-only approaches are not viable in regulated industries.

Limited internal expertise

Teams lack the skills to optimize models and reduce operational costs.

“The compressed models developed can be deployed directly on Telefónica’s network, including local facilities, making it possible to reduce energy consumption by up to 75% compared to uncompressed models.”