Free GPU credits for Fast.ai Courses

Part 1 (2018)
33

Your are first attaching to pod. Do not attach . Execute these commands in sequence

snark login
enter username and password
snark start --pod_type fast.ai --jupyter

34

Added more quota. Pls try again.

36

We just added more quota to the promo code. Pls try again!

37

Should be available now. There was a cap of number of retrieval previously and we just removed it :slight_smile:

38

Thanks a lot @sagar_mainkar it worked :slight_smile:

39

@SKS to stop the pod you will need to run snark ls and get the list of pod ids. Then you can stop each of them by running snark stop pod_id. When you run snark start ... you start a new pod on a separate GPU.

40

Hi @snarkai,

I noticed all three instances hours gets decreased while I’m running P106.

so, I’m thinking are those decreasing proportionally (I mean if I used up all of the GPU hours in P106, all of them becomes zero together) or it’s decrease as per the instance (I mean if i use P106 it will decrease slowly as compared to 1080)

I’m sorry, I don’t know exactly what to call P106, 1070, 1080. So I’m calling them instance.

Regards,
Sumit

41

Thanks a lot @davidbun it worked :slight_smile:

42

thanks.

43

Hi snarkai , i have met error : “Couldn’t successfully schedule pod execution. Please try again” after i typed snark start. Before that , i have stopped all pods ( when type snark ls , it shows nothing running). Could you fix it to me? I have paid money to buy using times.

44

Hi @cachepnho,

You can follow the above steps mentioned here by @sagar_mainkar that helped me to up and running pod and later you can stop it by following these steps here mentioned by @davidbun.

Hope this helps :slight_smile:

Thanks,
Sumit

45

Thank you. But it hasn’t worked yet. I try all ways and step by step but nothing else. I will wait the answer from snarkai because i have paid money for them.

46

oh, I’m sorry i’m a newbie so don’t know much about it.

Yes, for me too once i start a fresh i’m also getting the same error.

1 Like
47

Hi snarkai , I am seeing this error : “Couldn’t successfully schedule pod execution. Please try again” after I typed $snark start --pod_type tensorflow -s 1080. Before that , I have stopped all pods. When I type $snark ls , it shows no details of the running pods. Can you fix it for me? Earlier the pod had started successfully. It was working fine. I even ran some models on my notebook. But now just after closing all the pods and starting again, it is showing this error.

1 Like
48

Hi @cachepnho,
if you buy from them you should contact them directly through their support service
to get first attention than here.

49

Yesterday, I’ve tried and it worked fine.
Perhaps, they are facing a scaling issue as there are many accounts opened and they have stretched the number promo coupons. So we must wait, surely there are working on this issue.

2 Likes
50

Hi @cachepnho sorry we were swamped by a large number of users from fast.ai community. Working on scaling up everything now. Can you message me your username? We’ll definitely prioritize your pod allocation as paid user.

1 Like
51

@thecodeboxed Hi Rahul, sorry for the glitch. We’ve been having unexpected large amount of workload from fast.ai community, which is really great for us but we need to scale up the infrastructure. Working on it now. Will notify you when it’s done. Thank you for using our product!

52

@iskode hey thanks for the support! We’re working on scaling up now. Will let you know here once it’s done.

53

Thanks snarkai, my login account is cachepnho. I have just check snark start but it has not worked yet. Please check for me. Thank you.