AI Hardware Landlords

Colovore was mentioned recently in “AI Hardware Landlords” on Data Center Knowledge. The article takes a closer look at NVIDIA’s certified DGX-Ready Data Centers—a program to help their customers find colocation providers that have facilities ready to power and cool their DGX supercomputers. Source: Data Center Knowledge

Colovore Adds 50 kW Cabinets and Liquid-to-the-System Cooling Capabilities

Colovore continues to specialize in supporting the deployments of dense HPC, AI, Big Data, and GPU/dual-CPU server infrastructure. The power and cooling requirements for these systems are immense, and we are proud to lead the way in Silicon Valley colocation by providing industry-leading power and cooling densities per rack—now up to 50 kW—as well as […]

Colovore Addresses High Density with Water-Cooled Rack Doors

The growing adoption of power-hungry hardware is driving demand for higher colocation rack densities. This forces data center managers to seek more robust alternatives to air-based cooling systems. Given the superior cooling efficiencies of liquid versus water, we designed our Silicon Valley colocation facility with a liquid-based cooling system to support high-density deployments and high-performance […]

Machine Learning, GPU Clusters, NVIDIA and Colocation

Ben Coughlin, Chairman and Co-Founder of Colovore was featured recently in “Is Your Data Center Ready for Machine Learning Hardware” on Data Center Knowledge. The article covers the challenges of deploying machine learning and AI infrastructure in data centers and NVIDIA’s recent program certifying Colovore as one of its colocation partners for DGX system rollouts. […]

Nvidia Certifies Colovore As DGX-Ready Data Center Partner

Colocation Optimized for Dense GPU and HPC Servers Santa Clara, CA – January 30, 2019 – Colovore, the Bay Area’s leading provider of high-performance colocation services for HPC infrastructure, today announced that it has been selected as a colocation partner to support NVIDIA DGX Systems deployments. Since launching in 2014, Colovore has grown rapidly by providing […]

Colovore’s Peter Harrison Selected to ARIN’s Board of Trustees

Santa Clara, CA – January 7, 2019 – Colovore, the Bay Area’s leading provider of high-performance colocation services, today announced that its Chief Technical Officer and Co-Founder, Peter Harrison, has been elected to the Board of Trustees at ARIN, the American Registry for Internet Numbers. ARIN is a nonprofit, member-based organization that supports the operation and […]

Colovore Announces Completion of 2MW Phase 3 Expansion

Optimized for A.I. and GPU Server Deployments Santa Clara, CA – September 10, 2018 – Colovore, the Bay Area’s leading provider of high-performance colocation services, today announced that its 2 MW Phase 3 expansion is now complete. Since launching in 2014, Colovore has grown rapidly by providing unrivaled power densities in Bay Area colocation, exceptional uptime […]

Colovore Pre-Leases New Phase of Water-Cooled Data Center

Colovore was featured in “Colovore Pre-Leases New Phase of Water-Cooled Data Center” on Data Center Frontier. The article covers the strengthening demand for high-density capacity and the use of racks equipped with water-chilled rear-door cooling units. Download the full article in PDF Source: Data Center Frontier

Colovore Announces 2MW Phase 3 Colocation Expansion

Strong demand for HPC and dense server colocation accelerates Santa Clara, CA – September 12, 2017 – Colovore, the Bay Area’s leading provider of high-performance colocation services, today announced that its 2 MW Phase 2 development has been pre-sold prior to its delivery in Q4 2017 and it is building Phase 3, adding another 2 MW […]

AI, GPUs, and High-Density Cooling

Peter Harrison, CTO and Co-Founder of Colovore was featured recently in “AI Boom Boosts GPU Adoption, High-Density Cooling” on Data Center Frontier. The article covers the rise of artificial intelligence, the growing adoption of GPUs in servers, and the resulting high density requirements of data centers to support these workloads. Download the full article in PDF […]