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Convergence AI Launches Private Dedicated AI Servers for Security-Conscious Businesses
EntSun News/11100249
Dedicated hardware, models trained on your industry and data, unlimited usage - your data never leaves your control.
BOCA RATON, Fla. - EntSun -- Convergence AI Data Centers today announced the availability of private dedicated AI servers purpose-built for organizations that handle sensitive data: law firms, healthcare providers, financial advisors, and regulated businesses of every kind. Most AI tools today route documents, client records, and internal knowledge through shared cloud infrastructure - data that leaves the organization's control the moment it is uploaded. Convergence AI was built to end that trade-off. Every client receives a physically dedicated AI server, installed in a secure private facility with direct connectivity to their network and team. No shared GPUs, no multi-tenant cloud, no third-party handoffs. Each deployment is configured around the client's workflows: AI trained on the client's industry and business; deep integration into existing systems and knowledge bases; unlimited usage at fixed pricing with no per-seat fees, token limits, or surprise overage charges; and regulatory confidence for HIPAA-protected health data, privileged legal communications, and confidential financial records that stay entirely within the client's controlled environment. Convergence AI also addresses the environmental cost of artificial intelligence. While hyperscale AI farms draw megawatts and require industrial cooling infrastructure, Convergence servers are low-watt by design and room-temperature cooled - delivering AI with a fraction of the carbon footprint. The company serves security-conscious organizations across healthcare, legal, wealth management, insurance, and financial services, and offers a complimentary assessment for prospective clients. For more information, visit convergencedatacenter.com or email ai@convergencedatacenter.com. http://www.convergencedatacenter.com
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Source: Convergence AI Data Centers
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