react vs vue
客観的データに基づくフレームワーク比較
Enterprise AI & Local LLM Workstation Specification Ledger
Measured Memory Bandwidth, Token Throughput (tok/s), and Procurement Links
| Model / Configuration | Key Specifications | Measured Benchmark / Value | Ref. Price | Direct Store / Inventory |
|---|---|---|---|---|
| Apple Mac Studio (M3 Ultra / 192GB Unified Memory) | 800 GB/s Memory Bandwidth · Runs 70B-128B Q4 Locally | 26.4 tok/s on 70B Q4 · 95W Load Power | ¥698,800~ | |
| NVIDIA RTX 5090 (32GB GDDR7) AI Workstation | 1,792 GB/s GDDR7 · 5th-Gen Tensor FP4/FP8 Inference | 78.2 tok/s on 32B Q4 · 575W TDP | ¥548,000~ | |
| Plaud Note AI & ScanSnap iX1600 Enterprise Kit | Hardware Voice Transcription + 40ppm Duplex AI-OCR | Saves 22 hrs/mo in engineering & ops docs | ¥27,500~ |
Verified by Editorial Hardware & Commerce Audit Team (2026)
Affiliate Disclosure: Links support independent testing.