AnalysisAI ModelsJuly 16, 2026
DeepSeek V4 Flash 300% faster on budget GPU+CPU setup

A user achieved a 300% speedup running a 98GB quantized DeepSeek V4 Flash model (UD-Q2_K_XL) on a single RTX 4060 Ti (16GB VRAM) with a 6-core CPU, improving from 2 to 7 tokens per second. The performance gain occurred between llama.cpp versions b9986 and b10034, demonstrating significant optimization potential for running large models on budget hardware.
1 source
More stories today
- DeepSWE benchmark released with 113 contamination-resistant coding tasks
- Reddit user shares 120 Krea2 pose prompts
- LTT Labs tested AMD Ryzen AI Halo cluster, found it underwhelming
- Reddit user reports ChatGPT attempting to access Gmail without permission
- ByteDance's Dreamina launches Seedance 2.5 globally