Compact edge AI with large unified memory
GEEKOM A9 Mega AI Workstation
GEEKOM · Verified 2026-07-23
From $2,999
Most compact AI workstation. 96GB VRAM from Strix Halo for sub-$3k. Best for edge/local LLM where space matters.
Main limitation: Not CUDA; iGPU only; soldered RAM; limited multi-GPU expansion
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Key Specifications
| Specification | Value |
|---|---|
| Form Factor | Compact (2L) |
| GPU | AMD Radeon 8060S (integrated) |
| GPU Count | 1 |
| VRAM per GPU | 96 |
| Total Accelerator Memory | 96 |
| Memory Architecture | unified (LPDDR5x) |
| Unified Memory | 128 |
| System RAM | 128 |
| RAM Type | LPDDR5x unified |
| CPU | AMD Ryzen AI Max+ 395 (Strix Halo) |
| CPU Cores | 16 |
| Primary Storage | 2048 |
| Storage Type | Gen4 NVMe SSD |
| Power Supply | 330 |
| Cooling | vapor chamber |
| Dimensions | 117 × 112 × 37 mm |
| Weight | 0.5 |
| OS | Windows 11 Pro |
| Linux Support | Yes (Ubuntu, community) |
| Windows Support | Yes |
| WSL Support | Yes |
| CUDA Support | No |
| Metal Support | No |
| Warranty | 3 |
| Onsite Support | No |
| Release Year | 2025 |
What Models Can It Run?
Calculated estimates using weight-only memory analysis at Q4 (4-bit) quantization. Actual requirements vary by framework, context length, and runtime overhead. See methodology.
| Model | Params | Required VRAM (Q4) | Fits in 70.5GB? |
|---|---|---|---|
| Llama 3.1 8B | 8B | 5.52 GB | ✓ Yes |
| Llama 3.1 70B | 70B | 37.14 GB | ✓ Yes |
| Llama 3.2 1B | 1B | 2 GB | ✓ Yes |
| Llama 3.2 3B | 3B | 3.01 GB | ✓ Yes |
| Qwen 2.5 7B | 7B | 5.01 GB | ✓ Yes |
| Qwen 2.5 14B | 14B | 8.53 GB | ✓ Yes |
| Qwen 2.5 32B | 32B | 18.06 GB | ✓ Yes |
| Qwen 2.5 72B | 72B | 38.14 GB | ✓ Yes |
| Mistral 7B | 7B | 5.01 GB | ✓ Yes |
| Mixtral 8x7B | 46.7B | 25.44 GB | ✓ Yes |
| DeepSeek R1 7B | 7B | 5.01 GB | ✓ Yes |
| DeepSeek R1 32B | 32B | 18.06 GB | ✓ Yes |
| DeepSeek R1 70B | 70B | 37.14 GB | ✓ Yes |
| Phi-3 Medium 14B | 14B | 8.53 GB | ✓ Yes |
| Gemma 2 9B | 9B | 6.02 GB | ✓ Yes |
| Gemma 2 27B | 27B | 15.05 GB | ✓ Yes |
| Stable Diffusion XL | 6.6B | 4.81 GB | ✓ Yes |
| Flux.1 Dev | 12B | 7.52 GB | ✓ Yes |
| Flux.1 Schnell | 12B | 7.52 GB | ✓ Yes |
Max model size: 70B class models (~134B params at Q4). These are calculated estimates, not measured results.
Pros & Cons
Pros
- ✓ Very large accelerator memory (96GB)
- ✓ Good memory per dollar ($31/GB)
- ✓ Linux support
- ✓ Windows support
- ✓ 3-year warranty
Cons
- ✗ No CUDA — limited training ecosystem
- ✗ Not CUDA; iGPU only; soldered RAM; limited multi-GPU expansion
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Sources & Verification
Primary source: GEEKOM A9 Mega Product Page
https://www.geekom.com/a9-mega
Verification date: 2026-07-23
Data quality: Vendor specification — from manufacturer datasheet. No hands-on testing was performed.