robotics - Sobaka

22 Sep 2026 4 min read

Mjöllnir for Thor: how to properly use your Jetson Thor system in production

Everyone wants to be a superstar with autonomous agents and robots, but initially, everything that we're missing for our beautiful digital beasts - brains and arms... maybe claws, if you're

11 Mar 2026 6 min read

Local Inference Economics (Jetson Thor)

TL;DR At 120W, running an 80B(3B) MoE inference node on Jetson Thor across EU. The revenue from Code Generation at 68% load is ~€7.21/day. Looks good, but you still

13 Feb 2026 4 min read

Qwen3 Coder Next on Thor: 79.26% MMLU-PRO with 4-bit Quantization

Local 80B Coding agents with power efficiency. TL;DR We benchmarked an 80B quantized Qwen3-Coder-Next-NVFP4 model with MMLU-PRO on NVIDIA Jetson Thor in 120W power-limited mode. Result is

20 Jan 2026 7 min read

Jetson Thor VLM Benchmark Part 2: Vision-Language Models for Real-Time Humanoid Control

Qwen3-VL-30B-A3B vs Nemotron-Nano-12B-VL — Which VLM enables your robot to see and act in real-time? For robotics executives evaluating vision-language models for humanoid deployment: Qwen3-VL-

10 Jan 2026 7 min read

Jetson Thor LLM Benchmark: Qwen3 vs Nemotron for Real-Time Robotics Agents

Comparing 30B MoE models for edge inference on humanoid robots TL;DR We benchmarked two 30-billion parameter Mixture-of-Experts models on NVIDIA Jetson Thor in 120W power-limited mode. For real-