Models & Pricing

Jetson Orin Nano 2 — 8GB Module

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  • 78 TOPS AI performance (INT8, sparse)
  • 1,536 CUDA cores / 32 Tensor Cores
  • 8-core Arm Cortex-A78AE CPU
  • 8GB LPDDR5X @ 120 GB/s
  • 15W / 25W / 40W configurable TDP
  • 260-pin SO-DIMM connector — drop-in

Jetson Orin Nano 2 Developer Kit

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  • Includes Orin Nano 2 8GB module
  • Reference carrier board
  • JetPack / Orin software stack
  • Existing Orin Nano carrier compatibility
  • Available H1 2027
  • Entry-level physical AI development

Specifications

Module

NVIDIA Jetson Orin Nano 2 (8GB)

AI Performance

78 TOPS (INT8, sparse)

GPU

NVIDIA Ampere — 1,536 CUDA cores, 32 Tensor Cores

CPU

8-core Arm Cortex-A78AE 64-bit

Memory

8GB LPDDR5X

Memory Bandwidth

120 GB/s (LPDDR5X-7500)

Power Modes

15W / 25W / 40W configurable

PCIe

PCIe Gen4

Form Factor

Compact module, 260-pin SO-DIMM connector (Orin Nano compatible)

Generation Note

First Orin product with LPDDR5X memory support

Efficiency

Orin Nano Super performance at 15W vs 25W (~40% lower power)

Software

NVIDIA Jetson Orin software stack / JetPack (drop-in)

Family Positioning

Entry level — below Orin NX (77 TOPS) and AGX Orin (156 TOPS, sparse)

Announcement

Announced August 2026

Availability

First half of 2027 (module + developer kit)

Target Market

Robotics, drones, vision AI, generative & physical AI

Production Lifecycle

Orin production committed through 2032

Carrier Ecosystem

Existing Orin Nano carriers (Connect Tech, Premio, Seeed and others)

Overview

The NVIDIA Jetson Orin Nano 2 is the new entry level of the Jetson Orin family, announced in August 2026 as a substantial generational step rather than a simple speed bump. Where the original Orin Nano shipped as a heavily de-featured cut of the AGX Orin die, Orin Nano 2 is built on an entirely new chip — still Ampere architecture and still Cortex-A78, but with architecturally improved Tensor Core paths that NVIDIA says double the real-world work extractable from the hardware, even though peak theoretical throughput rises only about 16%.

Key deltas versus the Orin Nano 8GB / Orin Nano Super: AI performance rises from 67 TOPS to 78 TOPS (INT8 sparse), CUDA cores from 1,024 to 1,536, CPU cores from 6 to 8 Cortex-A78AE, and memory bandwidth from 102.4 GB/s to 120 GB/s thanks to LPDDR5X-7500 support. The power envelope widens to 15W–40W, matching Orin NX, which gives designers the option to trade efficiency against headroom.

Critically for integrators, Orin Nano 2 keeps the same compact module mechanical envelope and 260-pin connector as the current Orin Nano platform. That means existing carrier boards designed around Orin Nano can be re-used, and the whole Orin software stack carries over — NVIDIA explicitly positions it as a drop-in upgrade path. Silicon and developer kits are expected in the first half of 2027, with Orin production committed through 2032 for long-lifecycle industrial programmes.

For robotics and vision AI teams that hit the ceiling of the original Nano, Orin Nano 2 is the natural stepping stone without jumping to Orin NX pricing or the considerably larger AGX Orin / Thor footprint.

Target Applications

Entry-level robotics, autonomous mobile robots, delivery and inspection drones, real-time vision AI systems, multi-camera machine vision, generative and multimodal AI at the edge, smart retail analytics, industrial inspection, and physical AI development programmes.

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