Row 7197

Row ID: 7197 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 7197 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

We are back again! Just quickly we want to thank those that use and continue to use our service from this subreddit. We got some great feedback and continue to improve and make things simpler to rent and use GPUs.

[Original Post](https://www.reddit.com/r/deeplearning/comments/1b1gpfg/discount_cloud_gpu_rental/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)

We are still looking for more feedback to get better and are still offering the sub a discount code for GPU rentals. You can [sign up](https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=massed-compute&tenantId=massed-compute&utm_source=reddit&utm_medium=post) for a free account. Use code `ReditDeepLearning` to get 50% off any A6000 rental. That makes an A6000 $0.31/GPU/hour all on demand billed by the minute.

If you are considering using cloud providers or already use cloud providers for GPU rentals, take a look and see if we are a good fit.

What makes us different (our users have helped us here)

* We own and operate all our GPUs in our own Data centers. We aren't a typical marketplace that relies on hardware from other companies. * Pricing - We have consistently been one of the most cost effective for datacenter grade GPUs * Provide a Virtual Machine experience vs command line experience. You can still use SSH to access the machine but the VM experience has been a winner. * Machine resources are dedicated. No shared resources with any other user. * The program we use to access the VM is called ThinLinc. It provides a connection to mount a folder from your computer to the VM to pass data and information between your computer and the VM. Reducing the need to pay for storage. * GPU Availability - Since we own all our GPUs it is easy for us to increase GPU availability when needed.

Thanks again.

FieldValue
text We are back again! Just quickly we want to thank those that use and continue to use our service from this subreddit. We got some great feedback and continue to improve and make things simpler to rent and use GPUs. [Original Post](https://www.reddit.com/r/deeplearning/comments/1b1gpfg/discount_cloud_gpu_rental/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button) We are still looking for more feedback to get better and are still offering the sub a discount co…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-15
username_encoded Z0FBQUFBQm5LakwzREs3emlsQ2F5NFhGSzM0enQ0bnJLbHpVdDdmczlxSjJaNUljM0lNZDZRNThkUElrZzJlanc4bnFJdGhWSHRHZlZBUW1rS3VlTk1tOXNneEFwZ0tfNWc9PQ==
url_encoded Z0FBQUFBQm5Lak9IVjB6dnRqWnhlY1AyV3czbWJuNUZ3ak9ETUJKbnBrbXItNWFMc3p1TVRDYkVoVGQzUmVXUGdPTE53T3BrTnkwRDNITXNVcE1EN1l3bkYyc2Nyc2Y2V2twYV9zVDU1ZFlTTy1TajVDbUZQM1FiSnotUmE1LVMwYVZLRmZZOG5kUUJobW9nQndBSEdXWURpUXlJdDVXTjdUZFNxaV9vNlFqbFpNOUVfaXZPR0xzPQ==

Raw Record

{
  "text": "We are back again! Just quickly we want to thank those that use and continue to use our service from this subreddit. We got some great feedback and continue to improve and make things simpler to rent and use GPUs.\n\n[Original Post](https://www.reddit.com/r/deeplearning/comments/1b1gpfg/discount_cloud_gpu_rental/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\nWe are still looking for more feedback to get better and are still offering the sub a discount code for GPU rentals. You can [sign up](https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=massed-compute&tenantId=massed-compute&utm_source=reddit&utm_medium=post) for a free account. Use code `ReditDeepLearning` to get 50% off any A6000 rental. That makes an A6000 $0.31/GPU/hour all on demand billed by the minute.\n\nIf you are considering using cloud providers or already use cloud providers for GPU rentals, take a look and see if we are a good fit.\n\nWhat makes us different (our users have helped us here)\n\n* We own and operate all our GPUs in our own Data centers. We aren't a typical marketplace that relies on hardware from other companies.\n* Pricing - We have consistently been one of the most cost effective for datacenter grade GPUs\n* Provide a Virtual Machine experience vs command line experience. You can still use SSH to access the machine but the VM experience has been a winner.\n* Machine resources are dedicated. No shared resources with any other user.\n* The program we use to access the VM is called ThinLinc. It provides a connection to mount a folder from your computer to the VM to pass data and information between your computer and the VM. Reducing the need to pay for storage.\n* GPU Availability - Since we own all our GPUs it is easy for us to increase GPU availability when needed.\n\nThanks again.",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-15",
  "username_encoded": "Z0FBQUFBQm5LakwzREs3emlsQ2F5NFhGSzM0enQ0bnJLbHpVdDdmczlxSjJaNUljM0lNZDZRNThkUElrZzJlanc4bnFJdGhWSHRHZlZBUW1rS3VlTk1tOXNneEFwZ0tfNWc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9IVjB6dnRqWnhlY1AyV3czbWJuNUZ3ak9ETUJKbnBrbXItNWFMc3p1TVRDYkVoVGQzUmVXUGdPTE53T3BrTnkwRDNITXNVcE1EN1l3bkYyc2Nyc2Y2V2twYV9zVDU1ZFlTTy1TajVDbUZQM1FiSnotUmE1LVMwYVZLRmZZOG5kUUJobW9nQndBSEdXWURpUXlJdDVXTjdUZFNxaV9vNlFqbFpNOUVfaXZPR0xzPQ=="
}
Explore Dataset Explore Row

Entry Information