Row 5310
Content Data
This page contains data entry 5310 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hello r/MachineLearning!
I’m thrilled to introduce [Backprop GPU Cloud](https://backprop.co)—after three years of hosting GPU servers on public marketplaces I decided to build my own cloud to offer a better service.
I've focused on speed, price, and reliability: - Instances are created in <60s with Jupyter pre-installed. - The pricing is reasonable with no hidden fees on storage or bandwidth. - The RTX 3090 instances are hosted in a tier III data center with 10 Gbps networking. - You get a virtual machine with full root access and a dedicated IPv4 address.
If you're a student or a researcher, I'm happy to give you 10 hours of free credit. Just sign up and shoot me a message.
I'm looking to add more features and additional instance types. All feedback would help a ton!
| Field | Value |
|---|---|
| text | Hello r/MachineLearning! I’m thrilled to introduce [Backprop GPU Cloud](https://backprop.co)—after three years of hosting GPU servers on public marketplaces I decided to build my own cloud to offer a better service. I've focused on speed, price, and reliability: - Instances are created in <60s with Jupyter pre-installed. - The pricing is reasonable with no hidden fees on storage or bandwidth. - The RTX 3090 instances are hosted in a tier III data center with 10 Gbps networking. - You get a vir… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-04-28 |
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| url_encoded | Z0FBQUFBQm5Lak9GdlFqallzXzBfbFk4MkZZeGJCMTJCN1N1T0ZNNHdQNVg4R0U0b3RTUVJGQ2t1WFZ5SVJRNV9COENZYXNJTnFIdkhZdF8xZjRnVHZTRFY4dV9NVDNJa0xzU0tzYmpnY3VETFg5bE5vWFRua0hqS1lab0xqTjE0MGJFLTdlZE9MaGZNSHBwMkNOOEJnUHR4TF90Nm1xMkpWazFPMDh6U2t3Nk9RNDluV3JuZlVsMGp2R2E2NldzYnpPRm1GWHRKb2VEeFNvN1V4MWdoWGRLaC01OXgzWE85dz09 |
Raw Record
{
"text": "Hello r/MachineLearning!\n\nI’m thrilled to introduce [Backprop GPU Cloud](https://backprop.co)—after three years of hosting GPU servers on public marketplaces I decided to build my own cloud to offer a better service.\n\nI've focused on speed, price, and reliability:\n- Instances are created in <60s with Jupyter pre-installed.\n- The pricing is reasonable with no hidden fees on storage or bandwidth.\n- The RTX 3090 instances are hosted in a tier III data center with 10 Gbps networking.\n- You get a virtual machine with full root access and a dedicated IPv4 address.\n\nIf you're a student or a researcher, I'm happy to give you 10 hours of free credit. Just sign up and shoot me a message.\n\nI'm looking to add more features and additional instance types. All feedback would help a ton!",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-04-28",
"username_encoded": "Z0FBQUFBQm5LakwyZ0lnaUtIdHJQTW1MZ0l3WHlxRHVsckYyRnJmOEh3N2NOblBhUGdxb1lwTV9JZjRyX1FSbmdyck5ROWoxbzhYWFdSeFdoS3JqRWtBcVZrazF0MmZwSUE9PQ==",
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}
Entry Information
- Entry ID: 5310
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000