Who is tx2

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Last updated: April 8, 2026

Quick Answer: TX2 is a high-performance computing platform developed by NVIDIA, specifically referring to the Jetson TX2 module launched in March 2017. It features a 256-core NVIDIA Pascal GPU, dual-core NVIDIA Denver 2 and quad-core ARM Cortex-A57 CPUs, and delivers up to 1.33 TFLOPS of compute performance while consuming only 7.5-15 watts of power.

Key Facts

Launched in March 2017
256-core NVIDIA Pascal GPU
Dual-core Denver 2 + quad-core Cortex-A57 CPUs
1.33 TFLOPS compute performance
7.5-15 watt power consumption

Overview

The NVIDIA Jetson TX2 is an embedded computing platform designed for artificial intelligence and edge computing applications. Released in March 2017, it represents the second generation in NVIDIA's Jetson series, following the successful TX1 module. The platform targets developers and companies working on autonomous machines, robotics, drones, and smart devices that require substantial AI processing capabilities in compact, power-efficient form factors.

NVIDIA developed the TX2 as part of its broader strategy to bring GPU-accelerated computing to edge devices. The module builds upon the architecture of its predecessor while offering significant performance improvements and enhanced power efficiency. With dimensions of just 87mm x 50mm, the TX2 packs substantial computing power into a small footprint, making it suitable for space-constrained applications where traditional computing solutions would be impractical.

How It Works

The Jetson TX2 combines multiple processing elements with specialized software to deliver AI capabilities at the edge.

GPU Architecture: The TX2 features a 256-core NVIDIA Pascal GPU that provides the primary acceleration for AI workloads. This GPU delivers up to 1.33 TFLOPS of compute performance, enabling real-time processing of complex neural networks. The Pascal architecture includes improved memory efficiency and enhanced support for deep learning frameworks like TensorFlow and PyTorch.
CPU Configuration: The module employs a heterogeneous CPU design with dual-core NVIDIA Denver 2 processors and quad-core ARM Cortex-A57 CPUs. This combination allows for flexible workload distribution, with the Denver cores optimized for single-threaded performance and the Cortex-A57 cores handling multi-threaded tasks. The CPUs operate at frequencies up to 2.0 GHz and support 64-bit computing.
Memory and Storage: The TX2 includes 8GB of 128-bit LPDDR4 memory with 59.7 GB/s bandwidth, providing ample capacity for AI models and data processing. Storage options include 32GB eMMC 5.1 flash memory, with additional expansion available through various interfaces. This memory configuration supports simultaneous processing of multiple high-resolution sensor inputs.
Power Management: One of the TX2's key innovations is its sophisticated power management system that enables operation in multiple power modes. The module can run in 7.5W, 10W, or 15W configurations, allowing developers to balance performance against power consumption based on application requirements. This flexibility makes it suitable for both battery-powered and line-powered devices.

Key Comparisons

Feature	Jetson TX2	Jetson TX1
GPU Performance	1.33 TFLOPS (Pascal)	1 TFLOPS (Maxwell)
Power Consumption	7.5-15W	10-15W
Memory	8GB LPDDR4	4GB LPDDR4
CPU Configuration	Dual Denver 2 + Quad A57	Quad-core ARM Cortex-A57
AI Performance	2x improvement over TX1	Baseline performance
Video Encode	4K @ 60 FPS H.265/H.264	4K @ 30 FPS H.265/H.264

Why It Matters

Edge AI Acceleration: The TX2 enables real-time AI processing at the edge, reducing latency and bandwidth requirements compared to cloud-based solutions. This capability supports applications like autonomous navigation, where decisions must be made within milliseconds. The platform's 1.33 TFLOPS performance allows for running complex neural networks locally without cloud dependency.
Power Efficiency: With power consumption as low as 7.5 watts, the TX2 makes AI processing feasible in battery-powered devices and energy-constrained environments. This efficiency has enabled new categories of intelligent devices, from portable medical equipment to field-deployable surveillance systems. The module's power management features extend battery life in mobile applications by up to 40% compared to less efficient alternatives.
Developer Ecosystem: NVIDIA's comprehensive software support, including JetPack SDK, CUDA, cuDNN, and TensorRT, has created a robust development environment around the TX2. This ecosystem has accelerated AI deployment across industries, with thousands of developers building applications on the platform. The availability of pre-trained models and development tools has reduced time-to-market for AI-powered products.

The Jetson TX2 represents a significant milestone in bringing high-performance AI computing to edge devices. Its balanced combination of performance, power efficiency, and compact form factor has enabled innovations across multiple industries. As edge computing continues to grow in importance, platforms like the TX2 will play increasingly critical roles in deploying intelligent systems that operate independently of cloud infrastructure. The technology foundation established by the TX2 continues to influence subsequent generations of edge AI processors, driving forward the capabilities of autonomous systems and smart devices worldwide.