Jetson T3000 vs T4000 vs T5000: Choosing a Thor Module on Bandwidth, MIG, and Power
NVIDIA added T3000 and T2000 to the Jetson Thor line in July 2026. Memory bandwidth, MIG support, networking and power compared for robotics builds.
TensorRT 11 vs TensorRT 10: Porting IPluginV2 to IPluginV3 Before Your Build Breaks
TensorRT 11 removed the entire IPluginV2 family, weak-typing builder flags, and implicit quantization. What breaks in your engine build and how to port it.
MIG on Jetson Thor: GPU Partitioning for Mixed-Criticality Robotics in JetPack 7.2
JetPack 7.2 brings MIG to Jetson Thor: two isolated partitions of 12 and 8 SMs. How to split perception, control and GenAI without latency jitter.
Yocto on Jetson vs Ubuntu L4T: Building Production Edge AI Images with OE4T
NVIDIA now officially supports Yocto on Jetson via OE4T. How a Yocto image compares with Ubuntu L4T on footprint, reproducibility and attack surface.
Which Small Language Models Actually Run on CPU in 2026: 11 Models Compared
Eleven small language models compared for CPU-only inference in 2026: real Q4 file sizes, official GGUF availability, licences and the memory-bandwidth ceiling.
ExecuTorch 1.5 On-Device LLM Serving (2026): Batched Scheduling, Cancellation and Off-Graph KV Cache
ExecuTorch 1.5 shipped multi-method export, batched request scheduling, bounded cancellation and off-graph KV cache. What it changes for on-device LLM apps.
Jetson Thor vs Jetson Orin AGX: 2026 Edge AI Upgrade Guide
NVIDIA Jetson Thor vs Jetson Orin AGX in 2026: TOPS, GPU architecture, memory bandwidth, power, price and whether the Thor upgrade is worth it for edge AI.
INT4 vs INT8 vs FP8 on Edge NPUs: The 2026 Quantization Trade-off
INT4, INT8, and FP8 quantization compared on edge NPUs in 2026: accuracy loss, latency, and memory trade-offs for vision and LLM workloads.
Hailo-10H vs Jetson Orin Nano (2026): Same CV Workload Tested
Hailo-10H vs Jetson Orin Nano head-to-head on the same computer-vision workload: TOPS/W, latency, framework support, memory and price. A 2026 edge-inference pick.
On-Device LLM Runtimes (2026): llama.cpp vs MLC vs ONNX
On-device LLM runtimes compared: llama.cpp vs MLC-LLM vs ONNX Runtime on edge SoCs - backends, quantization, throughput, memory and portability. 2026 decision guide.