![]() ![]() Our Jetson AGX Orin is flashed with is running Linux for Tegra 34 and Jetpack 5.0 (Early Access), with CUDA 11.4 and TensorRT 8.4.0. In this section we will run the same scripts on both devices.īefore taking a look at the charts and the actual metrics, let’s have a look at the software environment. ![]() Promising so far, isn’t it? Based on the benchmarks in the next part, we will have a realistic idea of the performance gain from a Jetson AGX Orin. To summarise, the Jetson AGX Orin offers 8x TOPS over the Jetson AGX Xavier at almost at the same price point. Running deviceQuery allows us to get more detailed specifications on the GPU:Īs the control, we will be using a development model 32GB Jetson AGX Xavier, which has 512 cores Volta GPU, 32GB memory & internal storage, an 8 core CPU Carmel and 2 DLA V1 cores leading to an AI performance measurement of 32 TOPS. You can find the exact specifications here. It has a 12-core Cortex CPU, 2048 cores GPU + 64 tensor cores but unlike the production version, this one has 32GB LPDDR5 memory. The specifications for our device differ slightly from what is shown in the above spec sheet. The Jetson AGX Orin we have is an engineering sample, not the final production version which is to be released by the end of Q4. In fact, in this specification sheet Nvidia made an inference time comparison.Īccording to the table above and using currently available software, we can expect improvements of up to 3.3x that that can be achieved on the AGX Xavier, and we can hope for better performance with future updates. Further more it has the new Cortex CPU with up to 12 cores, LPDDR5 Memory, 64GB eMMC and 2048 core Nvidia Ampere GPU with 64 Tensor Cores + 2 DLA cores V2.0.Įvidently 8x more TOPS does not necessarily mean 8x faster inference time. It has up to 275 TOPS, which is 8.5x more powerful than the 64GB/32GB versions of the Jetson AGX Xavier. Let’s first take a look at the technical specifications before we benchmark them.Ĭomparing the specifications of Jetson AGX Orin to Jetson AGX Xavier, we can agree that Jetson AGX Orin is quite promising. Jetson AGX Orin vs Jetson AGX Xavier Specification Comparison Throughout this article, we will be sharing with you how the new NVIDIA Jetson AGX Orin can be a game changer in the world of edge devices. As a company, we have in-depth knowledge of the Jetson family including its strengths and its limitations. This is a kit enabling developers to build applications with image, conversational, and audio AI capabilities. We are a multicultural company with offices across the globe.Ī few weeks ago we released the Apollo AI Engineering Kit, based around the NVIDIA® Jetson Xavier NX™. ![]() Established in 2016, SmartCow is a rapidly-growing AI engineering company, It offers vertical solutions to complex real-world problems. SmartCow is an AI engineering company that specializes in advanced video analytics, applied artificial intelligence & electronics manufacturing. In this article, we will introduce this new device and compare its specifications and performance in real world scenarios to its older brother, the NVIDIA® Jetson AGX Xavier™. NVIDIA claims this new product to be ‘the world’s most powerful, compact and energy-efficient AI supercomputer’. The production version is being released on Q4 2022 at roughly the same price as the AGX Xavier™. On March 22th 2022, NVIDIA announced the availability of its new edge computing platform, the Jetson AGX Orin™ developer kit. It is reprinted here with the permission of SmartCow AI Technologies. Still seems like it should be faster… I expect the 980 Pro is ideal but is there any other drives people have used and found to perform at over 4GB/s (as is that is too slow, well the faster it is the quicker you can load large models or use more performant swap.This technical article was originally published by SmartCow AI Technologies. MultHdrRecCap- MultHdrRecEn- TLPPfxPres- HdrLogCap. UESvrt:ĝLP+ SDES- TLP- FCP+ CmpltTO- CmpltAbrt- UnxCmplt- RxOF+ MalfTLP+ ECRC- UnsupReq- ACSViol-ĬESta: R圎rr- BadTLP- BadDLLP- Rollover- Timeout- AdvNonFatalErr-ĬEMsk: R圎rr- BadTLP- BadDLLP- Rollover- Timeout- AdvNonFatalErr+ĪERCap:ğirst Error Pointer: 00, ECRCGenCap- ECRCGenEn- ECRCChkCap+ ECRCChkEn. UEMsk:ĝLP- SDES- TLP- FCP- CmpltTO- CmpltAbrt- UnxCmplt- RxOF- MalfTLP- ECRC- UnsupReq- ACSViol. UESta:ĝLP- SDES- TLP- FCP- CmpltTO- CmpltAbrt- UnxCmplt- RxOF- MalfTLP- ECRC- UnsupReq- ACSViol. Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- SERR- Ĭapabilities: Advanced Error Reporting Screenshot 180917 1230×851 90.7 KB Subsystem: Sony Corporation Device 9122Ĭontrol: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx+ ![]()
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