Built for Large Models. Engineered for Scale.
From single-GPU development machines to multi-GPU rackmount powerhouses, our AI systems are purpose-built to handle the growing demands of modern machine learning. Whether you’re running local inference or deploying large-scale models, each configuration is designed around one core principle:
Maximize VRAM, eliminate bottlenecks, and scale cleanly.
Every system below is engineered around the realities of AI workloads where memory capacity, bandwidth, and stability matter more than raw specs alone. Using currently available enterprise-grade components, these platforms are fully customizable and designed to grow with your needs.
Pre-Configured AI System Tiers
The following are pre-configured options, but systems can and should be customized to meet your exact needs, so please contact us for a precise system.
Tier 1
AI Starter Workstation
Accessible. Capable. Upgradeable.
Ideal for:
- Local LLM experimentation
- Fine-tuning small-to-medium models
- AI-assisted development workflows
Core Configuration
GPU Options:
- 1× NVIDIA Blackwell RTX 6000 Max-Q (96GB VRAM, 300W)
- or 1× GeForce RTX 5090 (32GB VRAM, 600W)
CPU: Intel® Xeon® w5-3435X
Motherboard: ASRock W790 WS R2.0
Memory: 128GB–512GB DDR5 ECC
Storage: 2× PCIe 5.0 NVMe (RAID 0)
Power Supply: 1600W Platinum
Chassis: 4U Rackmount (7-slot)
Why This Configuration Works
This system delivers the best possible VRAM capacity per dollar, which is the most critical factor for real-world AI workloads. Full PCIe 5.0 bandwidth ensures fast model loading and efficient data movement, while ECC memory provides stability for long training or inference sessions. All within the constraints of a standard 120V outlet.
Expansion: Supports up to two 300W-class GPUs and up to 2TB of ECC RAM. Beyond that, physical slot availability and power constraints limit further expansion.
Tier 2
AI Professional Workstation
Serious Compute. Standard Power.
Ideal for:
- Multi-model workflows
- Heavier fine-tuning and inference workloads
- Teams running concurrent AI jobs
Core Configuration
GPU Options:
- Up to 2× RTX 6000 Max-Q (96GB each)
- or mixed configurations depending on workload
CPU: Intel® Xeon® w5-3435X
Motherboard: ASUS Pro WS W790E-SAGE SE (8-channel memory)
Memory: 256GB–1TB DDR5 ECC (8-channel)
Storage: 2× PCIe 5.0 NVMe (RAID 0)
Power Supply: 1600W Platinum
Chassis: 4U Rackmount (7-slot)
Why This Configuration Works
The 8-channel memory architecture nearly doubles memory bandwidth compared to entry-level configurations, significantly improving performance for data-intensive workloads. GPU configuration is balanced to stay within standard US power limits while delivering substantial VRAM capacity.
Expansion: Supports up to approximately 192GB of total GPU VRAM within a continuous power envelope of around 1400W, ensuring compatibility with standard electrical setups.
Tier 3
High-Density AI Powerhouse
Maximum VRAM on Standard Power
Ideal for:
- Large model inference
- Multi-user AI environments
- High-throughput pipelines
Core Configuration
GPU Options:
- Up to 3× RTX 6000 Max-Q (96GB each, 300W)
CPU: Intel® Xeon® w5-3435X (power-optimized for stability)
Motherboard: ASUS Pro WS W790E-SAGE SE
Memory: 512GB–2TB DDR5 ECC
Storage: 2× PCIe 5.0 NVMe (RAID 0)
Power Supply: 1600W Platinum
Chassis: 4U Rackmount (7-slot)
Why This Configuration Works
Delivers up to 288GB of total VRAM without requiring a 240V electrical setup. CPU power is carefully managed to maintain system stability under sustained multi-GPU loads, maximizing compute density within the practical limits of typical installations.
Expansion: Approaches a continuous power ceiling of around 1400W with limited headroom for additional components. Scaling beyond this point typically requires higher-capacity power delivery and enhanced cooling.
Tier 4
AI Enterprise Rack System
No Compromises. Built for Scale.
Ideal for:
- Training large models
- Multi-node clusters
- Enterprise AI infrastructure
Core Configuration
GPU Options:
- 2–4× RTX 6000 Max-Q (96GB each)
- or high-power RTX 6000 (600W) configurations
CPU: Intel® Xeon® w5-3435X
Motherboard: ASUS Pro WS W790E-SAGE SE
Memory: 1TB–2TB DDR5 ECC (8-channel)
Storage: 2× PCIe 5.0 NVMe (RAID 0)
Power Supply Options:
- 2050W Platinum
- 3000W Workstation PSU
Chassis: Custom 4U Rackmount (8-slot, high airflow)
Why This Configuration Works
Unlocks the full capability of the platform by utilizing all 112 PCIe 5.0 lanes, enabling maximum throughput across GPUs and storage. Supports up to 384GB of GPU VRAM with a high-airflow chassis designed for sustained operation. Designed for 240V environments and optimized for data center deployments.
Expansion Potential: These systems can be integrated into multi-node clusters, augmented with additional high-speed storage tiers, and deployed as part of larger rack-scale AI environments.
What Makes These Systems Different
VRAM First Architecture
Modern AI workloads are increasingly constrained by memory capacity rather than raw compute power. These systems maximize usable VRAM per node, allowing larger models to run locally without constant offloading, resulting in more efficient processing and fewer bottlenecks.
Full PCIe 5.0 Bandwidth
Every component operates at PCIe 5.0 speeds to eliminate bandwidth bottlenecks between GPUs, storage, and system memory. This ensures rapid model loading, efficient data transfer, and smooth scaling across multiple GPUs.
Enterprise Stability
With ECC memory, rigorously selected components, and thermal-aware system design, these machines maintain stability under sustained load, minimizing the risk of crashes and downtime during critical operations that run for hours or days.
Designed for Growth
Each configuration includes clear upgrade paths: More GPUs, increased memory, or multi-node deployments. Your investment grows alongside your workloads without requiring a complete redesign.
Let's Build Your AI System
Every workload is different. Model size, concurrency, power availability, and budget all matter. We take those factors into account to design solutions that are powerful, practical, and cost-effective for your environment.
We’ll design a system that fits your workload today and scales with you tomorrow.