# How the 2070 TFLOPs of Jetson AGX Thor(T5000) is calculated?

**URL:** <https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806>\
**Category:** Jetson Thor\
**Created:** [August 22, 2025, 12:09am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806 "2025-08-22T00:09:27Z")\
**Posts on this page:** 17\
**Page:** 1

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**Author:** ![UNA\_H](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@UNA\_H](https://forums.developer.nvidia.com/u/UNA_H)\
**Post date:** [August 22, 2025, 12:09am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/1 "2025-08-22T00:09:27Z")

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The T5000 datasheet states a maximum of 2070 FP4 TFLOPs, I think this value appears to represent the total performance of each core within the T5000 SoC. What are the maximum computing capabilities of each core, such as the GPU cores, Tensor cores and other? Could you please explain how the 2070 TFLOPS figure was calculated?  
Also, what is the maximum performance when converted to TOPS?

 ![image](https://global.discourse-cdn.com/nvidia/original/4X/2/2/d/22dae5677fddcb3259fa262b99056ced06d6c86e.png)

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [August 22, 2025, 6:29am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/3 "2025-08-22T06:29:39Z")

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Hi,

You can find the info in our Thor spec below:

[https://developer.download.nvidia.com/assets/embedded/secure/jetson/thor/docs/Jetson\_Thor\_Product\_Brief\_PB-12379-001\_v0.1.pdf](https://developer.download.nvidia.com/assets/embedded/secure/jetson/thor/docs/Jetson_Thor_Product_Brief_PB-12379-001_v0.1.pdf)

Thanks.

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<div class="post-metadata">

**Author:** ![UNA\_H](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@UNA\_H](https://forums.developer.nvidia.com/u/UNA_H)\
**Post date:** [August 22, 2025, 6:56am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/4 "2025-08-22T06:56:49Z")

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Hi,

Thank you for your reply.

I am unable to access the document (PDF) linked below.  
Is there a special method required to view this document?  
[https://developer.download.nvidia.com/assets/embedded/secure/jetson/thor/docs/Jetson\_Thor\_Product\_Brief\_PB-12379-001\_v0.1.pdf](https://developer.download.nvidia.com/assets/embedded/secure/jetson/thor/docs/Jetson_Thor_Product_Brief_PB-12379-001_v0.1.pdf)

Best Regards,

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [August 25, 2025, 6:20am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/5 "2025-08-25T06:20:04Z")

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Hi,

The document is shared from the announcement below:

> [@Jetson Thor Specs Available Now](https://forums.developer.nvidia.com/t/jetson-thor-specs-available-now/332780):
>
> We are pleased to share the latest technical specifications of our upcoming platform, Jetson Thor. To view the details, visit [NVIDIA Jetson Thor Series Modules](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdeveloper.nvidia.com%2Fdownloads%2Fassets%2Fembedded%2Fsecure%2Fjetson%2Fthor%2Fdocs%2Fjetson_thor_product_brief&data=05%7C02%7Cshmaheshwari%40nvidia.com%7C87475ec5c1dc4f7ba95a08dd8f2f4b67%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C638824155469713253%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=BbCEVIpe%2FzlJ9UwGfKYMQsUyVyrgMJGdsR%2Fm48rwIz8%3D&reserved=0) posted on the Jetson Download Center. For any questions, please contact your NVIDIA representative.

We are checking with our internal team and will update more info to you later.

Thanks.

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<div class="post-metadata">

**Author:** ![yuanyuan.li85](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@yuanyuan.li85](https://forums.developer.nvidia.com/u/yuanyuan.li85)\
**Post date:** [August 27, 2025, 12:41am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/6 "2025-08-27T00:41:54Z")

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Does Thor support NVFP4 data type? Is it has the same TOPS as FP4, 2070TFLOPS?

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [August 27, 2025, 7:26am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/7 "2025-08-27T07:26:37Z")

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Hi,

Please find the new version of the document below:

> **[Jetson Download Center](https://developer.nvidia.com/embedded/downloads#?search=Jetson%20T5000%20Series%20Modules%20Data%20Sheet)**

Please check our TensorRT-supported matrix below:

> **[Support Matrix — NVIDIA TensorRT](https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/support-matrix.html#hardware-and-precision)**

Jetson AGX Thor can natively support FP8 and FP4.  
But for NVFP4, we need to double-confirm with our internal team.

Will share more information with you later.  
Thanks.

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<div class="post-metadata">

**Author:** ![yuanyuan.li85](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@yuanyuan.li85](https://forums.developer.nvidia.com/u/yuanyuan.li85)\
**Post date:** [August 29, 2025, 12:49am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/8 "2025-08-29T00:49:19Z")

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Thanks, any update?

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [August 29, 2025, 8:24am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/9 "2025-08-29T08:24:20Z")

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Hi,

We are still checking the details.  
Will provide more info to you later.

Thanks.

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<div class="post-metadata">

**Author:** ![PrinceHal](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/princehal/32/451063_2.png) [@PrinceHal](https://forums.developer.nvidia.com/u/PrinceHal)\
**Post date:** [August 29, 2025, 7:46pm UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/10 "2025-08-29T19:46:53Z")

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The new version of the specs document you linked says the AGX Thor has Gen 4 Tensor cores but the marketing material says Gen 5. Which is correct? There are other inconsistencies as well.

Having said that, I notice that the specs doc sometimes says Gen 4 and other times Gen 5 so I think it’s just that there are typos and mistakes in the document. Thor is Gen 5.

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [September 1, 2025, 8:13am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/11 "2025-09-01T08:13:43Z")

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Hi,

Thanks a lot for this information.

Thor has Gen 5 Tensor Core.  
We will feedback to our internal team and update the typo.

Thanks.

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [September 2, 2025, 4:45am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/12 "2025-09-02T04:45:40Z")

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Hi,

As developer community adopts blackwell, we will see more NVFP4 supported models in the open source.

NVIDIA will also release NVFP4 checkpoints for many of the models.  
We will be bringing NVFP4 support for the models in VLLM and SGLang in coming months.

Stay tuned!

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<div class="post-metadata">

**Author:** ![PrinceHal](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/princehal/32/451063_2.png) [@PrinceHal](https://forums.developer.nvidia.com/u/PrinceHal)\
**Post date:** [September 3, 2025, 9:31pm UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/13 "2025-09-03T21:31:37Z")

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I’m really looking forward to it. Got my Jetson Thor from FedEx today and I’m typing this reply on it.

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [September 4, 2025, 2:54am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/14 "2025-09-04T02:54:55Z")

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Hi,

You can find our introduction for Thor below:

> **[Introducing NVIDIA Jetson Thor, the Ultimate Platform for Physical AI |...](https://developer.nvidia.com/blog/introducing-nvidia-jetson-thor-the-ultimate-platform-for-physical-ai/)**
>
> Robotics is undergoing a revolution, moving beyond the era of specialist machines to generalist robotics. This shift moves away from single-purpose, fixed-function robots toward adaptable robots…

There are several use cases you can try with.  
Thanks.

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<div class="post-metadata">

**Author:** ![PrinceHal](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/princehal/32/451063_2.png) [@PrinceHal](https://forums.developer.nvidia.com/u/PrinceHal)\
**Post date:** [September 4, 2025, 8:23pm UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/15 "2025-09-04T20:23:51Z")

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How come you get to use VLLM on the Thor and I don’t? ; ‘)

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<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [September 5, 2025, 6:04am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/16 "2025-09-05T06:04:23Z")

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Hi,

You can find some related containers in the link below:

> **[Build software better, together](https://github.com/orgs/NVIDIA-AI-IOT/packages)**
>
> GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Thanks.

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**Author:** ![JensenC](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@JensenC](https://forums.developer.nvidia.com/u/JensenC)\
**Post date:** [September 23, 2025, 7:39am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/18 "2025-09-23T07:39:57Z")

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The manual says 96 tensor cores. Is that incorrect?

It seems to have 20 SMs, 2560 CUDA cores, and 80 tensor cores.

FP32 non-tensor: 2560 \* 1575 \* 2 = 8.064 T (MAX)

FP16 tensor: 80 \* 1575 \* 2048 = 258T (MAX)

FP16 tensor: 80 \* 1386 \* 2048 = 227T (120Watts)

FP8 tensor: 80 \* 1575 \* 4096 = 516T

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**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [October 7, 2025, 7:40am UTC](https://forums.developer.nvidia.com/t/how-the-2070-tflops-of-jetson-agx-thor-t5000-is-calculated/342806/19 "2025-10-07T07:40:20Z")

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