Performance, scalability, and dependability

Rivos delivers a differentiated approach to these challenges, offering secure, scalable, and energy-efficient Data Center solutions that can be tailored to meet a business’s needs, whether air- or liquid-cooled.

All our solutions are built on a full standard software stack, adapted to Rivos hardware. This open-source based platform offers upstream support for Rivos hardware across popular APIs and frameworks. Paired with the Rivos SDK and integrated libraries, it delivers a seamless, out-of-the-box experience for developers and enterprises alike.

Explore our range of solutions designed to meet the diverse needs of today’s AI-driven enterprises—balancing performance, scalability, and dependability at every level.

Air-cooled Scalable Server Solutions

Liquid-cooling has become the standard for high-density AI server racks and is fully supported by Rivos solutions. However, many organizations have existing infrastructure that requires use of air-cooling. Rivos has ensured air-cooled platform solutions are available to bring AI benefits to these organizations.

Rivos also supports the traditional solutions with an x86 host, as well as the more optimized self-hosted AI appliance configurations.


PCIe card 


Universal Baseboard(UBB)

Self Hosted 3U Server
PCIe CEM card fits with existing server GPU slots

Provides accelerated compute to x86/Arm servers with the option of using multiple cards 
Standard AI server for standalone or rack cluster use

UBB Style  – dual x86 hosted base system with PCIe Gen 6 links to 8 Rivos GPGPU accelerators
Self-hosted AI appliance server with full network and management support

Can be part of a managed AI cluster
Cooled using the existing server airflow

Use in servers with 1, 2, 4, or 8 PCIe slots for “GPU”
Full height air cooled configuration

Reduced height liquid cooled configuration
3U air cooled for existing Data Center infrastructure

1U direct liquid cooling for dense AI compute racks
Ultra Ethernet port included for external scale-out, removing need for additional NICs on the system side

Direct Ultra Ethernet links used to internally connect the cards
Each GPGPU has external 800G Ultra Ethernet connection

Fully connected Ultra Ethernet internal mesh between the GPGPUs
External 800GE Ultra Ethernet AI backside network

OCP3 NIC frontside net

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