Head-to-Head Showdown

High-End AI Rig (RTX 5080 16GB) vs Custom Workstation PC (RTX 4090 24GB)

Comparing x86 architecture against x86 for local AI inference. Review generation throughput, memory architecture, and runner compatibility.

Select Any Two Systems to Compare Head-to-Head

System A (Left)

System B (Right)

System A

High-End AI Rig (RTX 5080 16GB)

AMD Ryzen 7 9800X3D + NVIDIA GeForce RTX 5080 (16GB GDDR7)

64 GB Memoryx86~127.3 t/s

System B

AMD Ryzen 9 7950X + NVIDIA RTX 4090 (24GB VRAM)

64 GB Memoryx86~133.7 t/s

Specification	High-End AI Rig (RTX 5080 16GB)	Custom Workstation PC (RTX 4090 24GB)
Architecture	x86	x86
Processor	AMD Ryzen 7 9800X3D + NVIDIA GeForce RTX 5080 (16GB GDDR7)	AMD Ryzen 9 7950X + NVIDIA RTX 4090 (24GB VRAM)
Operating System	Linux / Windows	Linux
System RAM / Unified Memory	64 GB	64 GB
GPU-Usable Memory (VRAM or unified)	16 GB	24 GB
Memory Bandwidth	960 GB/s	1008 GB/s
Memory Type & Bandwidth	64 DDR5-6000 + 16GB GDDR7 VRAM (960 GB/s, 256-bit)	DDR5-6000 + 24GB GDDR6X VRAM
NPU Acceleration (TOPS)	1400 TOPS	1321 TOPS
Small models (3–7B)	Yes (Compatible)	Yes (Compatible)
8B models (Qwen3 8B)	Yes (Compatible)	Yes (Compatible)
Estimated 8B Generation Speed	~127.3 t/s	~133.7 t/s
Recommended Max Context	32k tokens	64k tokens
Power Consumption Envelope	350-420W	350-550W

The buying and sizing guides that explain the numbers above.