Te

TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hacker News

TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done. Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon! - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :) TensorDock: https://www.tensordock.com/ Product page: https://www.tensordock.com/product-core API: https://documenter.getpostman.com/view/10732984/UVC3j7Kz Community CLI: https://github.com/caguiclajmg/tensordock-cli Deploy a GPU: https://console.tensordock.com/deploy I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :)

Share card

Actual performance

147points
52comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
79%79% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, dock · Missing: agents, macos, agent
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ob
Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

Hacker News193
On
On-Demand H200 GPU Cloud from $0.79/HR46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

On-Demand H200 GPU Cloud from $0.79/HR

Hacker News20
Go
Gource visualizations rendered without a GPU71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gource visualizations rendered without a GPU

Hacker News27
La
Lambda Echelon GPU Cluster55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lambda Echelon GPU Cluster

Hacker News3
GP
GPU PaaS61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPU PaaS

Hacker News6
Sl
Slurmq – GPU quota enforcement for Slurm50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slurmq – GPU quota enforcement for Slurm

Hacker News3
GP
GPU Accelerated PDAL62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPU Accelerated PDAL

Hacker News1
Th
The Poor Man's Guide to Cloud GPU Selection34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Poor Man's Guide to Cloud GPU Selection

Hacker News1
vEdge GPU Cloud
vEdge GPU Cloud64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cloud GPU Platform Lowering the Cost of Machine Learning

Indie Hackerscommitment-side-project
wc
wc-GPU: The Unix util `wc` running on a GPU66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

wc-GPU: The Unix util `wc` running on a GPU

Hacker News15