Chip manufacturer

NVIDIA

Develops the Jetson family of edge system-on-modules, the DGX Spark desktop AI system and the JetPack, TensorRT and DeepStream software stacks used for edge inference, robotics and vision AI.

Santa Clara, California, United StatesProfile reviewed editorially

Categories

Industries served

Solutions from NVIDIA

Close-up of a compact edge AI system-on-module with heatsink mounted on a carrier board
NVIDIA

NVIDIA Jetson Orin Nano Super Developer Kit

Entry-level Jetson developer kit rated at up to 67 INT8 TOPS for compact robots, cameras and vision gateways.

AI performance
Up to 67 TOPS (INT8, sparse)
GPU
NVIDIA Ampere, 1,024 CUDA cores, 32 Tensor cores
CPU
6-core Arm Cortex-A78AE
Deployment
Bench development, then embedded into a carrier board or enclosure
Autonomous mobile robots
Multi-stream video analytics
Vision gateways
High-performance edge AI module with large heatsink on an engineering bench
NVIDIA

NVIDIA Jetson AGX Orin 64GB module

Flagship Orin-generation module rated at up to 275 INT8 TOPS with 64 GB of memory for multi-sensor autonomous machines.

AI performance
Up to 275 TOPS (INT8, sparse)
GPU
2,048-core NVIDIA Ampere GPU with 64 Tensor cores
CPU
12-core Arm Cortex-A78AE
Deployment
Robot chassis, autonomous vehicle compute bay or inference appliance
Autonomous machines
Multi-camera sensor fusion
Industrial robotics
Autonomous mobile robot in a warehouse aisle with sensors visible on its chassis
NVIDIA

NVIDIA Jetson Thor T5000 module

Blackwell-generation robotics module rated at up to 2,070 FP4 TFLOPS with 128 GB of memory.

AI performance
Up to 2,070 TFLOPS (FP4)
GPU
NVIDIA Blackwell GPU with transformer engine and MIG support
CPU
14-core Arm Neoverse V3AE
Deployment
Robot compute bay or autonomous machine, on a carrier board
Humanoid and mobile robots
Multi-sensor autonomy
On-robot vision-language models
Compact desktop AI supercomputer beside a monitor in a dim studio
NVIDIA

NVIDIA DGX Spark

Desktop AI system built on the GB10 Grace Blackwell Superchip with 128 GB of unified memory in a 150 mm chassis.

AI performance
Up to 1,000 TOPS inference, up to 1 PFLOP FP4 (sparse)
Processor
NVIDIA GB10 Grace Blackwell Superchip, 20-core Arm CPU (10× Cortex-X925, 10× Cortex-A725)
GPU
Blackwell GPU, 6,144 CUDA cores, 5th-gen Tensor cores
Deployment
Desk-side development environment or small on-premise lab
Local large model inference
Model fine-tuning
Robotics and vision development
Developer screen showing multiple analysed video streams
NVIDIA

NVIDIA DeepStream SDK

GPU-accelerated SDK for building real-time video analytics pipelines on Jetson and x86 GPUs.

Type
Streaming vision AI pipeline SDK
Targets
NVIDIA discrete GPUs on x86 and NVIDIA Jetson platforms
Deployment
On premises, at the edge and in the cloud
Deployment
Jetson device, edge server or cloud GPU instance
Multi-camera video analytics
Traffic and city monitoring
Retail and safety analytics
Developer workspace with a single-board computer, sensors and code on screen
NVIDIA

NVIDIA JetPack SDK

Official Jetson software stack combining the Linux board support package with CUDA-accelerated AI libraries.

Type
Board support package plus AI software stack
Components
Jetson Linux (bootloader, kernel, Ubuntu, drivers, OTA) and the Jetson AI stack
Targets
NVIDIA Jetson modules and developer kits
Deployment
Development host plus target Jetson device
Jetson application development
Device provisioning and updates
Robotics software stacks
Profiler output on a dark developer screen
NVIDIA

NVIDIA TensorRT

Inference compiler and runtime family that optimises models for NVIDIA GPUs, including Jetson.

Type
Inference compiler and runtime ecosystem
Components
TensorRT compiler, TensorRT-LLM, Model Optimizer, TensorRT for RTX, TensorRT Cloud
Optimisations
Graph optimisation, layer fusion, FP16 and INT8 calibration
Deployment
Jetson device, workstation or GPU server
Latency-critical inference
Local LLM serving on GPUs
Jetson deployment optimisation

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