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authorNina Drozd <nina.drozd@arm.com>2022-05-24 15:37:55 +0100
committerNina Drozd <nina.drozd@arm.com>2022-05-24 15:41:03 +0100
commit7487145426c692e7e3370fd288f5355ffd76ada2 (patch)
treedb2638b8efe742e574ac4add74e3f817eeda97ed
parent9c6f9f8afcb003fd72944918d6b6e200d68c0918 (diff)
downloadml-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.md2
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