Tag Archives: NVIDIA Jetson Xavier

NVIDIA Jetson Xavier NX : World’s Smallest AI Supercomputer

On 7 November 2019, NVIDIA introduced the Jetson Xavier NX – the world’s smallest AI supercomputer designed for robotics and embedded computing applications at the edge!

Here is EVERYTHING you need to know about the new NVIDIA Jetson Xavier NX!

 

NVIDIA Jetson Xavier NX : World’s Smallest AI Supercomputer

At just 70 x 45 mm, the new NVIDIA Jetson Xavier NX is smaller than a credit card. Yet it delivers server-class AI performance at up to 21 TOPS, while consuming as little as 10 watts of power.

Short for Nano Xavier, the NX is a low-power version of the Xavier SoC that came up tops in the MLPerf Inference benchmarks.

Recommended : NVIDIA Wins MLPerf Inference Benchmarks For DC + Edge!

With its small size and low-power, it opens up the possibility of adding AI on-the-edge computing capabilities to small commercial robots, drones, industrial IoT systems, network video recorders and portable medical devices.

The Jetson Xavier NX can be configured to deliver up to 14 TOPS at 10 W, or 21 TOPS at 15 W. It is powerful enough to run multiple neural networks in parallel, and process data from multiple high-resolution sensors simultaneously.

The NVIDIA Jetson Xavier NX runs on the same CUDA-X AI software architecture as all other Jetson processors, and is supported by the NVIDIA JetPack software development kit.

It is pin-compatible with the Jetson Nano, offering up to 15X higher performance than the Jetson TX2 in a smaller form factor.

It is not available for a few more months, but developers can begin development today using the Jetson AGX Xavier Developer Kit, with a software patch to emulate Jetson Xavier NX.

 

NVIDIA Jetson Xavier NX Specifications

Specifications NVIDIA Jetson Xavier NX
CPU NVIDIA Carmel
– 6 x Arm 64-bit cores
– 6 MB L2 + 4 MB L3 caches
GPU NVIDIA Volta
– 384 CUDA cores, 48 Tensor cores, 2 NVDLA cores
AI Performance 21 TOPS : 15 watts
14 TOPS : 10 watts
Memory Support 128-bit LPDDR4x-3200
– Up to 8 GB, 51.2 GB/s
Video Support Encoding : Up to 2 x 4K30 streams
Decoding : Up to 2 x 4K60 streams
Camera Support Up to six CSI cameras (32 via virtual channels)
Up to 12 lanes (3×4 or 6×2) MIPI CSI-2
Connectivity Gigabit Ethernet
OS Support Ubuntu-based Linux
Module Size 70 x 45 mm (Nano)

 

NVIDIA Jetson Xavier NX Price + Availability

The NVIDIA Jetson Xavier NX will be available in March 2020 from NVIDIA’s distribution channels, priced at US$399.

 

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NVIDIA Wins MLPerf Inference Benchmarks For DC + Edge!

The MLPerf Inference 0.5 benchmarks are officially released today, with NVIDIA declaring that they aced them for both datacenter and edge computing workloads.

Find out how well NVIDIA did, and why it matters!

 

The MLPerf Inference Benchmarks

MLPerf Inference 0.5 is the industry’s first independent suite of five AI inference benchmarks.

Applied across a range of form factors and four inference scenarios, the new MLPerf Inference Benchmarks test the performance of established AI applications like image classification, object detection and translation.

 

NVIDIA Wins MLPerf Inference Benchmarks For Datacenter + Edge

Thanks to the programmability of its computing platforms to cater to diverse AI workloads, NVIDIA was the only company to submit results for all five MLPerf Inference Benchmarks.

According to NVIDIA, their Turing GPUs topped all five benchmarks for both datacenter scenarios (server and offline) among commercially-available processors.

Meanwhile, their Jetson Xavier scored highest among commercially-available edge and mobile SoCs under both edge-focused scenarios – single stream and multi-stream.

The new NVIDIA Jetson Xavier NX that was announced today is a low-power version of the Xavier SoC that won the MLPerf Inference 0.5 benchmarks.

All of NVIDIA’s MLPerf Inference Benchmark results were achieved using NVIDIA TensorRT 6 deep learning inference software.

 

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Everything Jensen Huang Revealed @ NVIDIA Computex 2018!

At an exclusive NVIDIA Computex 2018 press conference, NVIDIA CEO Jensen Huang revealed a slew of new computing products. But first, let us break your hearts and tell you upfront that he did not announce the long-awaited replacements for NVIDIA Pascal graphics cards…

But he did show off a number of interesting products, and we have the opportunity to take some pictures and videos of the new NVIDIA HGX-2, NVIDIA Drive Xavier, NVIDIA Drive Pegasus and NVIDIA Jetson Xavier!

We have more than 1.5 hours of videos in this article, and lots of pictures from the event, so grab a drink, sit back and enjoy! 😊

 

The NVIDIA Computex 2018 Press Conference

As there are limited room, this is an invitation-only press conference at the Grand Hyatt Taipei.

What a crowd… 30 minutes before the NVIDIA Computex 2018 press conference kicks off! 

Guess who’s here too? 

Unbelievable – there was time to get a selfie with Jensen himself before the press conference 

He seemed to have a good time tossing cookies to members of the media.

Alright… now, let’s get to the actual press conference, which lasted over 1.5 hours and was punctuated by several emergency sirens!

Next Page > What Jensen Huang Revealed @ NVIDIA Computex 2018

 

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What Jensen Huang Revealed @ NVIDIA Computex 2018

Jensen’s presentation was about an hour long, followed by a 30 minute Q&A session. Here are the full videos of his presentation and Q&A session.

If you are looking for news on NVIDIA Turing – the next GeForce – skip to minute 13:02 of the Q&A session video. This was what Jensen said :

When is the next GeForce? I’m going to invite you guys. Don’t worry!

No only will you be invited, there will probably be lunch.

A little hint? It’s a long time from now. It’s a long time from now.

In the next page, we have the blow-by-blow account of Jensen’s announcements, as well as pictures. In the meantime, here are our video tour of some of the new NVIDIA products the Jensen just revealed.

 

The NVIDIA Jetson Xavier Up Close!

The NVIDIA Jetson Xavier is a new deep learning computer designed for intelligent machines, e.g. robots. It delivers 30 teraflops of performance in a small form factor. The developer’s kit will see an early release in August 2018, with a price of US$ 1,299.

 

The NVIDIA Drive Xavier + Drive Pegasus Up Close!

Both NVIDIA Drive Xavier and NVIDIA Drive Pegasus use the new NVIDIA Xavier SoC – the world’s largest System-On-Chip, with 9 billion transistors!

The Drive Xavier uses a single Xavier SoC, with 30 teraflops of computing performance. The Drive Pegasus, on the other hand, has two Xavier SoCs and two Tesla V100 GPUs, with a total computing performance of 280 teraflops!

 

The NVIDIA HGX-2 Up Close!

The NVIDIA HGX-2 is a new architecture for hyperscale servers, delivering 1 petaflops on a single board, or 2 petaflops with two boards! Each HGX-2 board has eight Tesla V100 GPUs with 32 GB of HBM2 memory per module,

Next Page > The NVIDIA Computex 2018 In Pictures

 

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The NVIDIA Computex 2018 Press Conference In Pictures

Jensen starts by showing off the new Tesla V100 GPU with 32 GB of HBM2 memory. 16 of these go into the new NVIDIA DGX-2 – the world’s largest GPU node with 2 teraflops of performance!

No… Jensen is not serving pizza 😂

That is the NVIDIA HGX-2 – world’s most powerful motherboard with eight Tesla V100 GPUs delivering 1 teraflops of computing power!

Jensen announces NVIDIA Xavier – the world’s first AI processor for intelligent machines.

Jensen shows off the NVIDIA Drive Pegasus – a complete intelligent platform powered by the new NVIDIA Xavier SoC.

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Introducing NVIDIA Jetson Xavier board for the NVIDIA ISAAC robotics platform!

This is the complete NVIDIA Jetson Xavier developer’s kit computer.

Here is a closer look at the NVIDIA Xavier board (middle), with its module (right), and the complete computer (right).

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