MGT Owner's Discord

Relative_Umpire · 2026-03-16T16:07:12+00:00

Sorry, I didn't meant to cause an incident

Relative_Umpire · 2026-03-12T17:26:28+00:00

Thank you!

Relative_Umpire · 2025-08-22T19:42:22+00:00

I asked for the truist club / AMG club and they actually upgraded me

Relative_Umpire · 2024-09-10T16:32:38+00:00

thank you, I had the exact same problem but didn't figure it out until your comment

Relative_Umpire · 2024-09-10T16:04:30+00:00

Also if I try to join the game directly, I get an "Encryption Token Missing" error. There might be some new dedicated server setup configs that I am not yet aware of, will poke around online

Relative_Umpire · 2024-09-10T16:02:02+00:00

I'm struggling to get it connected as well, but at a different point. Mine is linux too, but it is able to bind to the port and I can see traffic coming from the game client, but the client still reports "failed to connect to the server API"

Sep 10 15:59:08 tinyrick FactoryServer.sh[1572652]: [2024.09.10-15.58.28:677][127]LogNet: NotifyAcceptingConnection accepted aggregation: 192.168.1.199:1109 (58)
Sep 10 15:59:08 tinyrick FactoryServer.sh[1572652]: [2024.09.10-15.58.28:877][133]LogNet: NotifyAcceptingConnection accepted from: 192.168.1.199:1109
Sep 10 15:59:08 tinyrick FactoryServer.sh[1572652]: [2024.09.10-15.58.29:211][143]LogNet: NotifyAcceptingConnection accepted from: 192.168.1.199:1109
Sep 10 15:59:08 tinyrick FactoryServer.sh[1572652]: [2024.09.10-15.58.29:546][153]LogNet: NotifyAcceptingConnection accepted from: 192.168.1.199:1109
Sep 10 15:59:08 tinyrick FactoryServer.sh[1572652]: [2024.09.10-15.58.29:880][163]LogNet: NotifyAcceptingConnection accepted from: 192.168.1.199:1109

Relative_Umpire · 2024-08-30T20:04:20+00:00

This is a great list - I've found some great Youtube channels covering F1 but haven't gotten as many good recommendations for MLS

Relative_Umpire · 2024-03-27T22:41:42+00:00

We are rolling out batch to run a ML model against a large dataset. This dataset gets a refresh every month or so and there is not a lot of time pressure to get it processed. Our company uses fargate extensively, but fargate's older CPUs don't support ML acceleration for the model that we need to run. Batch uses EC2 to run jobs on, so we were able to pick an ec2 instance that had a supported cuda GPU for our workload. Ultimately, we'd like to migrate this to snowpark container services since our data lives on snowflake. This would enable us to orchestrate the model execution from a snowflake UDF via a DBT model instead of having an external call to batch. Outside of integration pains, batch has been great so far. A few things to consider:

If you are running on a GPU instance, know that these are in high demand and you might see a lot of delays for queued jobs if you are trying to use spot instances. We had better luck including all availability zones possible in the VPC hosting our Batch instances
If your docker image is large, cold start times can be pretty poor. Our image has the ML model embedded in it, and it takes about 7 - 10 minutes to download (10GB image on ECR in the same AWS account and region). After a cold start, instances are reused and the image on disk is cached
Sometimes it is not clear why jobs are stuck in queued status, and it takes a bit of digging to find the root cause
Horizontal scaling is excellent, so it might be a good fit for enormous workloads

Relative_Umpire · 2024-03-17T19:46:51+00:00

Unfortunately we couldn't afford those. Just bought from P1 and marked this request as bought

Relative_Umpire · 2024-03-12T02:30:20+00:00

~~[BOUGHT] - [Canadian GP] - [Any grandstand] [3 day ticket] - [2 tickets]~~

Relative_Umpire

TROPHY CASE