Your Hardware Infrastructure Partner for the Age of AI
Conduit Capital Group provides specialized NVIDIA L40S GPU as a Service (GPUaaS) designed for organizations requiring high-performance computing capabilities without the premium costs associated with flagship data center GPUs. Through our operating partnership with Scott Data Center in Omaha, Nebraska, we offer enterprise-grade AI infrastructure that delivers approximately 40-45% of NVIDIA H100 performance at 85% less cost. This positioning makes our infrastructure particularly well-suited for computer vision applications, AI inference workloads, and organizations transitioning from development to production environments. Our L40S capacity combines the reliability of military-grade data center facilities with the flexibility modern AI workloads demand, providing immediate availability for your computational needs.

About Conduit Capital Group
Conduit Capital Group provides access to specialized NVIDIA L40S GPU infrastructure optimized for artificial intelligence and general compute workloads. The L40S, based on NVIDIA’s Ada Lovelace architecture, represents a strategic choice in the current GPU landscape. With 48GB of memory and exceptional computational capabilities, these GPUs deliver strong performance while consuming approximately half the power of the H100, enabling higher deployment density and lower operational costs.
Our infrastructure strategy focuses on the intersection of performance and practicality. While the L40S provides approximately 40-45% of H100 performance in general AI workloads, it excels in specific applications where its architectural advantages shine. The advanced graphics capabilities make our infrastructure particularly effective for computer vision tasks, with the ability to efficiently process multiple concurrent video streams for real-time applications.
This thoughtful approach to infrastructure allows organizations to achieve their AI objectives without the capital intensity of top-tier GPU deployments. Our L40S capacity provides sufficient computational power for inference workloads, model fine-tuning, and computer vision applications while maintaining cost structures that make sense for production deployments. The architecture also enables faster deployment times compared to more complex specialized systems, addressing the immediate needs of organizations ready to scale their AI initiatives.
Strategic Partnership with the Scott Data Center
Our partnership with Scott Data Center provides the foundation for reliable, secure AI operations through infrastructure that vastly exceeds typical commercial data center standards.

Proven Reliability and Uptime
- 100% uptime since opening in 2006
- Tier III certified for both design and construction (one of only ~20 facilities nationwide)
- Every critical system has backup: redundant power, cooling, and network paths
- All maintenance performed without service interruption
- RESULT: Your AI workloads run continuously without disruption, even during upgrades
Tier III certification means the facility operates with complete concurrent maintainability—any component can be serviced, replaced, or upgraded without affecting operations. This design philosophy extends throughout the facility, from dual utility feeds and 2N UPS systems to diverse chilled water paths and N+1 cooling redundancy. The unbroken uptime record since 2006 demonstrates that this isn’t just theoretical redundancy but proven operational excellence.
Built Beyond Commercial Standards
- Originally constructed for the Department of Defense
- Military-grade physical security
- Natural disaster resistant construction
- Located in stable Omaha, Nebraska—away from earthquake, hurricane, and flood zones
- RESULT: Your infrastructure is protected at levels typically reserved for government operations
This exceptional construction standard means the facility can withstand threats that would disable typical data centers. The reinforced concrete structure resists 250 mph winds, while the entire facility was designed to continue operations through natural disasters that regularly impact coastal regions. This midwest location provides geographic stability while maintaining excellent network connectivity to both coasts.
Power and Capacity for AI Workloads
- 20MW internal power plant built in 2011
- Supports 60-70kW per cabinet (vs typical 5-10kW in standard data centers)
- 110,000 square feet of purpose-built data center space
- Your data and models remain local, private, and fully under your control
- RESULT: Infrastructure specifically designed to handle the density and power demands of GPU computing
The foresight to build massive power capacity in 2011—well before the current AI boom—means Scott Data Center can support GPU deployments that would overwhelm traditional facilities. Four independent 1,500KW diesel generators provide unlimited runtime backup power, while the cooling infrastructure was engineered for the heat densities that high-performance computing generates. This combination of power, cooling, and space creates an environment where GPU infrastructure operates at peak efficiency while maintaining complete data sovereignty for security-conscious organizations.
Service Models and Advantages
Conduit Capital Group offers flexible consumption models designed to meet organizations where they are in their AI journey. Unlike traditional infrastructure providers requiring substantial capital commitments, our approach enables both on-demand access for experimental workloads and long-term contracts for production deployments. This flexibility proves particularly valuable for organizations transitioning from development to production and product deployment, where computational needs can vary significantly as models move from training to inference.
Our enterprise-grade infrastructure comes without enterprise pricing barriers. While major cloud providers and specialized AI infrastructure companies often require premium rates for GPU access, our L40S deployment strategy enables cost-effective scaling. Organizations gain access to the same military-grade facilities, redundant power systems, and comprehensive security that serve Fortune 100 companies, but at price points that make sense for mid-market enterprises and growing AI initiatives.
Immediate availability represents another critical advantage in today’s constrained GPU market. While organizations face extended waitlists for H100 systems, our L40S infrastructure is accessible now. This availability gap becomes particularly important for companies with time-sensitive projects or those looking to quickly scale successful proof-of-concept work. The L40S architecture also enables simpler integration compared to more specialized configurations, reducing deployment complexity and time to production.
The convergence of these service model advantages—flexibility, accessible pricing, and immediate availability—creates an environment where organizations can focus on their AI applications rather than infrastructure constraints. Whether supporting burst computational needs, steady-state inference workloads, or mixed-use scenarios combining AI and traditional computing, our infrastructure adapts to actual operational requirements rather than forcing organizations into rigid consumption patterns.
Ideal Use Cases and Applications
With versatility across use cases combined with practical cost-to-performance operating characteristics, Conduit’s L40S architecture is positioned as an optimal choice for organizations seeking to deploy production AI systems without the premium costs associated with cutting-edge training infrastructure. Example use cases include the following:
Computer Vision and Image Processing
- Medical imaging workflows including MRI and CT scan analysis
- Diagnostic assistance and image segmentation for treatment planning
- Real-time image enhancement and reconstruction
- Pathology slide analysis and automated screening
Scientific and Research Applications
- Molecular dynamics simulations
- Climate modeling and weather prediction
- Genomics and bioinformatics processing
- Scientific visualization of complex datasets
- Autonomous vehicle sensor fusion and scene understanding
Video Analytics and Security
- Multiple concurrent stream processing
- Object detection and tracking
- Facial recognition systems
- Behavior analysis and anomaly detection
- Traffic monitoring and analysis
- Retail analytics and customer flow optimization