Silicon Command Center
Real-time analysis of the hardware powering the next generation of AI agents.
Rig of the Month: "G15 Workhorse"
GPURTX 4060 Laptop (8GB)
CPUIntel Core i7-13650HX
RAM16GB DDR5
TargetThe People's Champion
Market Status
RTX 50-SeriesAllocated (Low Supply)
VRAM StocksStable (GDDR6)
Memory PricesInflated (+20%)
Component Tracker
| Model | VRAM | Status | Action |
|---|---|---|---|
| Dell G15 (RTX 4060) | 8GB GDDR6 | Best Value | Check Price ↗ |
| Mac Mini (M4) | 16GB Unified | MSRP | Check Price ↗ |
| ASUS Desktop (RTX 5060) | 8GB GDDR7 | Stable | Check Price ↗ |
| Alienware 16X (RTX 5060) | 8GB GDDR6 | Allocated | Check Price ↗ |
| NVIDIA RTX 4090 | 24GB GDDR6X | Allocated | Check Price ↗ |
Inference Velocity (Tokens/s)
Neon Future (RTX 5070)142 t/s
M4 Max (Gemma 3 4B)108 t/s
Dell G15 (Gemma 3 4B)72 t/s
Mac Mini M4 (Gemma 3 4B)35 t/s
Latest Analysis
The 13-Watt Miracle: Mac Mini M4 Efficiency →
We tested the Mac Mini M4 against the RTX 5070. The results change how we think about 'Always-On' AI.
8GB VRAM: The New Standard →
Why 6GB is dead and 8GB is the new barrier to entry for local AI.
DeepSeek R1: The Reasoning Revolution →
We tested the 8B reasoning model on an RTX 5060. The result? 38 tokens/sec of pure logic.
Inference on a Budget →
Breaking the myth that you need 24GB VRAM. How 6GB cards are running 64k context agents.
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