Loggly VS Cloud GPU

Loggly Reviews

Cloud GPU Reviews

Loggly mentions (1)

• “Print” Is the Only Debug Tool You Need

  Print works on Staging and Production: It’s not easy to work with debug tools when you’re dealing with code running on the server. On the other hand, print statements work there too. Even if you don’t have access to STDOUT, you can write statements to a file or send them to a logging server/service (e.g, Loggly). - Source: dev.to / almost 2 years ago

Cloud GPU mentions (7)

• Does Google Cloud GPU use physical GPUS or are they emulated

  Per https://cloud.google.com/gpu, they use NVIDIA L4, P100, P4, T4, V100, and A100 GPUs. These are physical units loaded into servers and then shared to the OS by the hypervisor. Source: about 1 year ago

• Fine-tuning?

  You probably can't do it through onedrive, though I'm not sure if MS has something like that that carries over into other services. The thing you need is GPU power, not storage. Most people use something like google cloud https://cloud.google.com/gpu but there are a lot of other options. Source: about 1 year ago

• Home Server - Student

  Uh, you ask these questions before you buy the hardware. There are various tools you could have used for free, or for cheap instead of spending $2500 on equipment, and not even seemingly the right equipment. You would know more than me, but you mentioned AI/Machine learning, but I do not see any graphics cards mentioned in your build, and a lot of that work is enhanced with graphic cards. (3 of these or just this... Source: over 1 year ago

• The machine learning models I am running requires GPU. Is there a way to SSH into another computer and use another computer's GPU?

  Why are you not running in google colab? Https://cloud.google.com/gpu. Source: over 1 year ago

• Reasons to be cheerful: 'GPU mining is dead less than 24 hours after the merge'

  Unless you are spinning up GPUs in the cloud with stolen credentials/credit cards. https://cloud.google.com/gpu. Source: over 1 year ago