MiniCPM-V 4.7 Tested: System Requirements, VRAM & Local Setup Guide
MiniCPM-V 4.7 reports 13+ tokens/s in 3GB phone memory. Expert loading, quantization and speculation explain why that is not its total weight size.
EyesTech: Frontier AI, Silicon & Defence Technology
Independent analysis, benchmarks, and field intelligence on AI models, chips, computing, and defence systems.
Muse Wonder Full: Why Max Reasoning Won’t Unlock It
Muse Wonder costs $4/$20 per million input/output tokens. Full requires a Muse Code plan; max reasoning changes effort, not the model you access.
High-Power Microwave vs Swarms: Why GaN Arrays Beat Lasers
Solid-state GaN HPM arrays disable dozens of drones in microseconds, bypassing 3-5s laser dwell limits and frying unshielded PCB traces at 15-30V surges.
Microsoft Maia 300 Deep Dive: 167 kW HBM4 Rack Physics & Azure Architecture
Microsoft Maia 300 pairs 288GB HBM4 at 18 TB/s on TSMC N2P across 96-chip 167 kW racks, bypassing Nvidia memory walls via direct-to-chip liquid cooling.
How to Fine-Tune 27B LLMs on One GPU Using LoGRA (Memory Guide)
NVIDIA Research’s Low-Rank Gradient Sketches (LoGRA) algorithm reduces reinforcement learning optimizer VRAM consumption by 45.7% on 7-billion-parameter models and 21.8%…
Why Mathematics Is the Crucible and Ceiling of Frontier AI
Frontier artificial intelligence has crossed an empirical threshold where raw web-scale token ingestion no longer yields qualitative capability jumps. At…
Iris-3B Removes the VAE, but the Vision Gain Is Unproven
Iris-3B generates pixels without a VAE. Its released depth and restoration results show no clear advantage; a 4B text encoder also changes local costs.
Qwen Image 2.1 Turbo: Eight Steps Need the Right Schedule
Qwen Image 2.1 Turbo uses a saved eight-step schedule and CFG 1. Local setup needs current Diffusers; commercial use needs a separate license.
Saluki 27B: What the 7.89GB Tool-Calling Win Hides
Saluki packs Qwen3.8-27B into 7.89GB. Its 88/120 tool score hides lost and gained tasks, parser sensitivity and memory costs beyond the model file.
How to Run 125B MoE Models on a 12GB GPU with Strata (Setup Guide)
Strata runs 125B Qwen3.8-Flash-Next on 12GB VRAM at 45 tok/s using predictive expert prefetching and io_uring. Here is the PCIe math and setup.