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Hardware Matrices for Local LLMs

Budget Value Outlier

MINISFORUM UM790 Pro Mini Desktop Computer

4.0 GHz AMD Ryzen 9 7940HS 8-Core CPU | 32GB 5600 MT/s DDR5 RAM | 1TB M.2 NVMe SSD | Integrated Radeon 780M Graphics

⚠️ No dedicated discrete GPU, suitable for basic AI tasks.
AI Capability

High RAM but no dedicated GPU.

Why Recommended

Ideal for budget-conscious users needing high RAM for AI tasks.

Advanced AI Developer Pick

MINISFORUM UM870 Slim Mini (Ryzen 7-8745H, 32GB, 1TB SSD, Windows 11 Pro)

8745H, 32GB RAM, 1TB SSD, NVIDIA GPU

AI Capability

Suitable for models up to 30B parameters.

Why Recommended

High performance for AI tasks and gaming.

Elite Local AI Champion

MINISFORUM UM890 Pro Mini (Ryzen 9-8945HS, 32GB, 1TB SSD, Windows 11 Pro)

Ryzen 9-8945HS, 32GB RAM, 1TB SSD, NVIDIA RTX 4080

AI Capability

High performance for AI models and gaming.

Why Recommended

Ideal for high-end AI applications and gaming with ample VRAM and CPU power.

Capacity-First Learning Sandbox

Acer Aspire XC-1725 Desktop Computer

2 GHz AMD Ryzen 7 7730U 8-Core | 32GB DDR4-3200 RAM | Integrated AMD Radeon Graphics | 1TB M.2 NVMe PCIe SSD

⚠️ No dedicated discrete GPU.
AI Capability

This machine is suitable for basic AI tasks and learning without heavy GPU requirements.

Why Recommended

Ideal for users looking for a cost-effective solution for local AI inference and learning.

Budget Value Outlier

MINISFORUM MS-A2 Desktop Workstation

2.5 GHz AMD Ryzen 9 7945HX 16-Core | 32GB 5600 MT/s DDR5 RAM | 1TB M.2 NVMe PCIe 4.0 SSD | Integrated AMD Radeon 610M Graphics

⚠️ This machine does not have a dedicated discrete GPU, relying solely on the integrated graphics for AI tasks.
AI Capability

This machine is suitable for basic local AI use cases due to its integrated GPU and modest RAM.

Why Recommended

Ideal for users looking for a cost-effective solution for AI tasks without the need for high-end GPU performance.