I’m unable to boot an Amazon EC2 g2.2xlarge or g2.8xlarge instance using the Red Hat Linux 7 AMI. How can I fix this?

The Nouveau driver that is included in the Red Hat Linux 7 AMI cannot recognize a G2 instance type hardware configuration at boot.

During launch or reboot, the g2 instances might hang and display messages in the Amazon EC2 console similar to the following:


[    352.217063] Modules linked in:[    352.231088] BUG: soft lockup - CPU#4 stuck for 23s! [migration/4:284]

[    352.231088] Modules linked in: adm1021 lm90 nouveau(+) intel_rapl crc32_pclmul ghash_clmulni_intel aesni_intel lrw gf128mul glue_helper ablk_helper mxm_wmi cryptd cirrus wmi syscopyarea sysfillrect sysimgblt video i2c_algo_bit ttm drm_kms_helper ppdev drm parport_pc parport i2c_piix4 pcspkr i2c_core ip_tables xfs libcrc32c ata_generic pata_acpi xen_netfront xen_blkfront ata_piix crct10dif_pclmul crct10dif_common libata crc32c_intel serio_raw floppy [    352.231088] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000

[  352.231088] Call Trace:

[  352.231088]    [] ? cpu_stop_should_run+0x50/0x50

[  352.231088]    [] cpu_stopper_thread+0x88/0x160

[  352.231088]    [] ? __schedule+0x2d8/0x900

[  352.231088]    [] smpboot_thread_fn+0xff/0x1a0

[  352.231088]    [] ? schedule+0x29/0x70

[    352.231088]    [] ? lg_double_unlock+0x90/0x90

[    352.231088]    [] kthread+0xcf/0xe0

[    352.231088]    [] ? kthread_create_on_node+0x140/0x140

[    352.231088]    [] ret_from_fork+0x58/0x90

To resolve the issue, disable the Nouveau driver at boot using the grub2 blacklist by following these instructions:

1.    Resize the instance, choosing any instance other than one in the g2 series.

2.    Edit /etc/default/grub and add the following values to the GRUB_CMDLINE_LINUX line:

rd.driver.blacklist=nouveau nouveau.modeset=0

3.    Rebuild the grub configuration:

grub2-mkconfig -o /boot/grub2/grub.cfg

4.    Stop the instance and resize it to your desired size same procedures as in step 1.

Note: A GPU instance must use the appropriate NVIDIA CUDA toolkit to enable increases in computing performance and take advantage of the graphics processing unit power.

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Published: 2016-08-12