Ternary Bonsai 2 27B: 1.76-Bit LLM Inference on Edge Hardware
PrismML released Ternary Bonsai 2 27B under Apache 2.0 at 1.76 effective bits per weight. What ternary weights mean for edge memory, latency and accuracy.
Jetson Orin Nano 2 vs Orin Nano Super: 2x Inference, Same Socket
Jetson Orin Nano 2 vs Orin Nano Super: 78 TOPS, 8 GB, 8 CPU cores, 40% less power at 15 W, and what NVIDIA's 2x inference claim really means.
TensorRT-LLM vs llama.cpp on Jetson: Throughput, VRAM & Setup (2026)
TensorRT-LLM vs llama.cpp benchmarked on NVIDIA Jetson in 2026: tokens/sec, VRAM footprint, quantization support, and setup pain compared.