On-Premise AI Systems
We've designed different on-premise AI systems to meet our clients needs at every stage of their AI journey. These systems are finely tuned to prevent bottlenecks and maximize performance for its intended AI workloads, from pilots to business-critical deployment.
Our on-premise AI systems provide the security, control, and performance required for mission-critical AI deployments while maintaining complete data sovereignty.
Advantages of On-Premise AI Systems (Servers / Edge)
Data Security & AI Sovereignty
Maintain complete control over your sensitive data. By keeping information in-house, you ensure compliance with local regulations and reduce exposure to external breaches, building digital trust.
Cost Predictability & TCO
Move from unpredictable operational expenses to a fixed capital investment. On-premise servers offer a lower Total Cost of Ownership (TCO) for sustained AI workloads, eliminating surprise bills and data egress fees.
Unmatched Customization
Tailor your hardware and software stack precisely to your unique workflows. Optimize your systems for specific AI tasks and integrate seamlessly with your existing infrastructure without vendor lock-in.
Low Latency & Performance
Achieve near-instantaneous response times for critical applications. By processing data locally, you eliminate network delays, which is vital for real-time analytics, fraud detection, and autonomous systems.
On-Premise AI Systems (Servers / Edge) - Performance Class
UltreonAI - B3
Ideal for SMEs starting their AI journey
Perfect for proof-of-concept projects, developing internal RAG knowledge bases, and experimenting with AI capabilities without a large upfront investment.
Specifications:
UltreonAI - B5
For SMEs with defined AI needs
Excellent for robust inference, light fine-tuning of models (PEFT), and integrating AI into core workflows like customer service or advanced data analytics.
Specifications:
UltreonAI - B7
Engineered for the most demanding AI workloads
Including heavy fine-tuning and running large models with maximum performance and scalability.
Specifications:
On-Premise AI Compute Calculator
GPUs are critical to accelerate AI workloads. Use the calculator below to estimate the GPU configuration required to run your AI solutions on-premise.
Key Capabilities
Run extremely large LLM models as big as Llama4 402B with multiple workstation-class AI accelerators.
Implement AI Data Sovereignty with control over data storage, model training, and the deployment and usage of AI systems.
Access and incorporate your knowledge sources using RAG for domain-relevant responses.
Run the most competent open-source AI models for free without limits.
Separate AI workspaces by departments or user groups.
Generate high quality video and images using better models without restrictions.
Customize with agentic AI automation workflow and techniques to solve business challenges.
Not Sure What You Really Need?
Our AI System Specialists Are Ready To Help You. Contact Us For A Quote!