As so many others have noted, this is a truly terrible company to do business with. They claim that they have thousands of GPU instances around the world, but when you come to actually launch one of t... Leggi di più
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Scopri cosa dicono le persone
Easy setup, but unreliable VMs, which crash often. After stopping VMs, it is very likely that you will lose access to a GPU and you need to create a new VM from scratch.
Just Bad!!! they take your money and you are not even able to deploy a server and forget something called customer support it doesn't even exist you have more chances marrying Sydney Sweeney then... Leggi di più
Worst provider ever! I couldn't start a VM for 2 days. After finally getting a Windows VM up and running, I still couldn't connect to it via RDP. Customer support remains silent. Don't even bother... Leggi di più
Nessuna traccia di inviti alla recensione precedenti
Questa azienda non ha mandato inviti ai suoi clienti, quindi le recensioni potrebbero non essere rappresentative
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Le persone hanno visualizzato anche
From your very dissatisfied customer!
I am very disappointed with this service. Honestly, I tried to setup my VM, with even different instances. Sadly it won't work. And I make one mistake, I realize. I added my credit into it, just to know that I can't use the service anyways. 10 bucks, and just fly like that.
Please, do think twice before consider using their services.
Broken service, no support
None of the servers could deploy successfully. Requires upfront deposit, but then takes the money and runs. Doesn't actually work, and support is non-responsive. Had to file a chargeback.
TensorDock GPU does not contain GPU
The TensorDock GPU deployments does not...contain available GPU! I was trying with 3 different pods that should contain RTX 5090, 4090 and 3090 but...none of them contained the GPU which was clearly stated in the logs of Ollama and also via "lsmod | grep nvidia". Unbeliveable but true - Tensordock is cheating on the customers getting some money to the balance which cannot be refunded, the support does not respond and you cannot run anything with GPU.
payé 10 balles
payé 10 balles, auncune machine utilisée. Pourtant c'est pas la premiere fois que j'en fais et j'ai pas fais d'erreures
TensorDock GPU instance deployment hard issues
I had a disappointing experience with TensorDock's GPU instance deployment. Although the instance showed as deployed and running, I was unable to access it via SSH. Despite being unable to use the service, I was still charged for the time it was supposedly running. As a result, I received zero value from the service while still incurring costs. Until they improve their reliability and access, I would caution against using TensorDock.
Tried to test the service with minimal…
Tried to test the service with minimal payment — couldn’t deploy anything
I signed up for TensorDock and made a small initial payment just to test the service. I tried to deploy a GPU instance (RTX 4090), but after going through a setup process (selecting OS, CPU, RAM, SSH key, and location), I got this error:
“Failed to deploy virtual machine: No available nodes found in the selected location with the requested resources.”
So I tried again with other GPU types — same issue.
The worst part is there's no live indication of available GPUs, and the system lets you go through the setup only to fail at the end.
For a platform that charges upfront, this is very frustrating. I expected a smoother onboarding and at least one working configuration. Right now, I can't recommend TensorDock to anyone until they improve the deployment experience and show real-time availability.
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