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author | Nina Drozd <nina.drozd@arm.com> | 2022-05-24 15:37:55 +0100 |
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committer | Nina Drozd <nina.drozd@arm.com> | 2022-05-24 15:41:03 +0100 |
commit | 7487145426c692e7e3370fd288f5355ffd76ada2 (patch) | |
tree | db2638b8efe742e574ac4add74e3f817eeda97ed | |
parent | 9c6f9f8afcb003fd72944918d6b6e200d68c0918 (diff) | |
download | ml-embedded-evaluation-kit-7487145426c692e7e3370fd288f5355ffd76ada2.tar.gz |
MLECO-3188: update AVH documentation
* update to Arm Virtual Hardware link
Change-Id: If93d20e32b32ff4d6bcfa8f0e0ef096f3fff9492
-rw-r--r-- | docs/sections/arm_virtual_hardware.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/sections/arm_virtual_hardware.md b/docs/sections/arm_virtual_hardware.md index 47761ee..01c4c99 100644 --- a/docs/sections/arm_virtual_hardware.md +++ b/docs/sections/arm_virtual_hardware.md @@ -31,7 +31,7 @@ To take advantage of Arm Virtual Hardware, you would need to have an AWS account Note that you can register to receive free AWS credits to use Arm Virtual Hardware from [here](https://www.arm.com/company/contact-us/virtual-hardware). -You can find more information about Arm Virtual Hardware [here](https://arm-software.github.io/VHT/main/overview/html/index.html). +You can find more information about Arm Virtual Hardware [here](https://arm-software.github.io/AVH/main/overview/html/index.html). Once you have access to the AWS instance, we recommend starting from the [quick start guide](../quick_start.md#Quick-start-example-ML-application) in order to get familiar |