Hardware / NVIDIA Jetson Orin Nano Super

NVIDIA Jetson Orin Nano Super

8GB Unified memory / 68 GB/s / 10W / $249 MSRP / Released 2024
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Spec-sheet schematic of NVIDIA Jetson Orin Nano Super - Orin Nano 8 chip, 8GB unified memory, 68 GB/s
Overview

NVIDIA’s embedded module family, three generations on this site: Orin Nano Super (8GB, 68 GB/s, $249, 2024 - the “Super” refresh of the 2023 board), Orin NX 16GB (102 GB/s, $499, 2023), and AGX Orin 64GB (205 GB/s, $899, 2022). All run JetPack Linux on ARM with CUDA.

What it does well:

  • Power envelope: 10-60W total, passively or lightly cooled - the only CUDA platform here that runs on a battery or a solar rig.
  • CUDA on a budget: $249 buys a real NVIDIA stack for 1-8B models, with the full llama.cpp and MNN toolchain.

Where it falls short: 68 GB/s on the Nano Super caps single-stream decode near single-digit tok/s on 7B-class models; 8-64GB means only small dense models or heavily quantized MoE fit.

Run it locally: Jetson AI Lab containers, Ollama, or llama.cpp on JetPack. The modeldex results rank checkpoints by fit and estimated tok/s.

PRICING

Launch MSRP is still NVIDIA's list price via authorized distributors (Arrow), but demand has kept the buyable retail price higher - e.g. $399 at https://www.sparkfun.com/nvidia-jetson-orin-nano-developer-kit.html as of Sep 2026, with intermittent stock. Budget for street price, not MSRP.

Chip specs
Chip
Nvidia Orin Nano 8
Memory
8GB unified
Bandwidth
68 GB/s
Available since
2024
Noise
Quiet

Top models (40 compatible)

Qwen3.8-27B UD-IQ1_S Runs tight
6.2GB / 8.0GB min
6
TOK/S
ⓘ estimated
Ornith-1.5-9B Q4_K_M Runs comfortably
5.8GB / 6.0GB min
6
TOK/S
ⓘ estimated
Gemma 4 12B Q4_K_M Runs tight
7.2GB / 7.2GB min
5
TOK/S
ⓘ estimated
Qwen3 8B Q4_K_M Runs comfortably
5.2GB / 5.2GB min
7
TOK/S
ⓘ estimated
Gemma 3 12B Q4_K_M Runs tight
7.5GB / 7.5GB min
5
TOK/S
ⓘ estimated
See all 40 compatible models →