Description
Introducing the next-generation Dual RTX 5060 Ti LLM workstation from Custom Lux PCs — engineered specifically for developers, AI startups, researchers, and power users who need serious local AI performance at an affordable price. This purpose-built Dual RTX 5060 Ti workstation delivers 32GB of total VRAM, giving you the flexibility to run today’s most popular open-source large language models locally with impressive efficiency and scalability.
At the core of this system is the Intel Core 7 Ultra 265KF, delivering exceptional single-core speed and strong multi-threaded performance for preprocessing datasets, compiling environments, running inference servers, and orchestrating AI pipelines. It’s paired with an ASUS Z890 DDR5 motherboard for cutting-edge connectivity, high-speed expansion, and long-term platform reliability.
Dual RTX 5060 Ti – 32GB Total VRAM for Real LLM Capability Without Breaking the Bank
This Dual RTX 5060 Ti workstation features 2x RTX 5060 Ti 16GB GPUs, providing a combined 32GB of total VRAM — the key factor in determining what size language models you can realistically run.
With 32GB VRAM, you can expect the following real-world model support:
7B–13B Parameter Models
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Run at FP16 (full precision) comfortably
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Extremely fast inference
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Ideal for coding assistants, chatbots, automation agents, and RAG systems
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Excellent headroom for long context windows
30B–34B Parameter Models
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Run smoothly at 8-bit quantization (INT8)
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4-bit quantization (INT4) allows higher context sizes and improved responsiveness
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Great balance of reasoning capability and local performance
65B–70B Parameter Models
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Best suited for 4-bit quantization
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Possible with optimized inference frameworks (such as tensor parallelism across both GPUs)
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Ideal for advanced reasoning, research, and higher-end AI deployments
Mixture-of-Experts (MoE) Models
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Efficiently supported depending on active parameter count
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Benefit significantly from dual-GPU parallelization
This LLM workstation provides the flexibility to experiment across precision levels — from FP16 to 8-bit and 4-bit quantization — allowing you to trade minimal quality loss for major VRAM efficiency gains. With dual GPUs, frameworks like tensor parallelism and distributed inference unlock even greater model capacity than single-GPU systems.
High-Speed System Architecture
To complement GPU performance, this workstation includes:
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32GB DDR5 6000MHz RAM for high-bandwidth multitasking
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2TB NVMe M.2 Gen 4 SSD for ultra-fast model loading and dataset access
The DDR5 memory ensures smooth dataset preprocessing and concurrent workloads, while the Gen 4 NVMe storage dramatically reduces startup and checkpoint load times — critical for professional AI workflows.
Thermal Engineering for Sustained AI Loads
AI inference and fine-tuning push hardware to sustained 100% utilization. This system is built in a premium ATX case optimized for airflow, paired with a 360mm AIO liquid cooler to maintain peak CPU performance under continuous heavy workloads.
A 1000W power supply ensures stable and clean power delivery for dual GPUs, with additional headroom for future expansion. The chassis and motherboard layout allow space for a third graphics card, making this workstation upgrade-ready as your AI demands scale.
Windows 11 Pro or Linux – Fully Configured
Your LLM workstation ships fully updated and configured with your choice of:
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Windows 11 Pro
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Linux (Ubuntu or other distributions available upon request)
Drivers, GPU configuration, and system-level optimizations are completed before delivery, ensuring you can begin deploying models immediately.
Built for Serious AI Builders
Custom Lux PCs is recognized as one of the industry leaders in affordable AI workstations. This Dual RTX 5060 Ti workstation delivers the ideal balance of VRAM capacity, compute power, thermals, and expandability — making it a powerful platform for local LLM deployment, RAG systems, AI SaaS development, research, and generative AI workflows.
If you’re ready to run serious models locally — from optimized 7B systems to quantized 70B giants — this LLM workstation is built to perform.




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