CIQ Releases RLC Pro AI for NVIDIA DGX Spark
The new software integrates validated GPU drivers into an Enterprise Linux environment to streamline AI development.
Updated on Oct. 15, 2026 in Quantum Computing
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CIQ has launched RLC Pro AI, a platform designed to simplify the transition of artificial intelligence projects from prototype to production. The software runs on the CIQ Linux Kernel 6.18 and includes NVIDIA validated GPU drivers.
Why it matters
The software aims to eliminate the technical friction of rebuilding drivers and dependencies when scaling AI projects. This approach allows development teams to use a single operating system across different environments.
RLC Pro AI operates on the CIQ Linux Kernel 6.18 and provides support for up to 25 nodes under its free developer license. It outperformed four standard sparkrun tests on the Spark Arena leaderboard.
The players
CIQ
Based in Reno, Nevada, this company specializes in Enterprise Linux and software solutions for high-performance computing.
NVIDIA
A global technology company known for designing graphics processing units and hardware platforms for artificial intelligence.
The details
By integrating the latest long-term kernel and validated NVIDIA drivers into an Enterprise Linux framework, the platform offers a unified workflow for developers. Interested users can register for the software through the official CIQ Portal.
Timeline
October 15, 2026: CIQ announced the release of RLC Pro AI.
The Tech Race
The release of RLC Pro AI represents a shift toward software-defined infrastructure that aims to close the gap between experimental AI prototypes and production-ready systems. This evolution reflects a broader trend of companies seeking to simplify the integration of specialized GPU hardware within standard enterprise environments.
Developers can utilize the free license to test RLC Pro AI on up to 25 nodes without initial commercial costs. This reduces the logistical hurdle of configuring complex AI environments, potentially accelerating the development cycle for non-commercial projects.
The takeaway
By standardizing the operating system across development stages, teams can focus more on AI logic rather than infrastructure maintenance. Developers should check if their specific cluster configuration aligns with the 25-node limit for the non-commercial license.
Further reading
For additional context on the latest industry developments, visit the Quantum Computing section.
More information
For more details, visit the CIQ company information and software portal.
Source note: This article includes information reported by The Manila times.
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