Cloud GPU Reviews

DebugTool Reviews

1. Ernesto Lasso

   · Design project manager at Sriservices · about 4 years ago
   Save time and deliver projects faster

   We work in an agency that develops websites mainly in WordPress, and regularly based on our experience over several years of working with multiple clients, we have discovered that one of the main problems between agency-client is communication, which often sometimes is tedious and fruitless, but now with the visual debugger is easy to point in the screen what needs to be changed and do it quickly. Also, we had a problem calculating how much our will cost our services for the customers according to the time spent on their projects but now with the "Time tracking" function, we can know exactly how much time was dedicated to the project and based on that invoice the client with greater certainty.

   I think this is a great solution for web designers that needs to clear all visual bugs of a website fast to deliver in less time and get more jobs quickly.

   🏁 Competitors: Webvizio, Atarim

   👍 Pros:    Easy to install|Very good money/value|Saves a ton of time

   👎 Cons:    New

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: over 3 years 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: over 3 years 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 3 years 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 3 years 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: almost 4 years ago

DebugTool mentions (0)