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Users appreciate TensorDock for its powerful GPU instances and effective AI capabilities, highlighting its strength in delivering high-performance computing solutions. However, key complaints focus on the instability of virtual machines, with users experiencing issues like failing instances. The sentiment around pricing seems neutral without specific mentions, but the need for continuous storage payments indicates potential cost concerns. Overall, TensorDock has a mixed reputation; while it is valued for its technical specifications, reliability and operational issues present challenges for users.
Mentions (30d)
1
Reviews
0
Platforms
2
Sentiment
0%
0 positive
Users appreciate TensorDock for its powerful GPU instances and effective AI capabilities, highlighting its strength in delivering high-performance computing solutions. However, key complaints focus on the instability of virtual machines, with users experiencing issues like failing instances. The sentiment around pricing seems neutral without specific mentions, but the need for continuous storage payments indicates potential cost concerns. Overall, TensorDock has a mixed reputation; while it is valued for its technical specifications, reliability and operational issues present challenges for users.
Features
Use Cases
Industry
information technology & services
Employees
5
Funding Stage
Merger / Acquisition
Total Funding
$0.1M
Please help with tensor dock [d]
Anyone have any idea what I should do. This is my email to tensor dock. I developed corporate GPU benchmarking software so I need a cloud PC that can benchmark 5090 Consumer cards and 4090 Consumer cards. It worked absolutely amazing for six hours yesterday on the 4090 full desktop PC performance in the cloud. But….. Look I’m really really upset here. I’ve been trying to deploy servers for two days now. I made one server successfully with an RTX 4090. It worked great for a few hours as soon as I stopped it when I went to turn it again on I haven’t been able to get another RTX in the node for the last 10 hours. So I can’t even activate A PC that I spent all day setting up yesterday. In order to use another cloud pc to work I tried to start up 4 more separate deployments today and none of them can initialize another RTX 4090 it always fails on the desktop once it is deployed so I have to keep deleting the vm. So now I tried three different node locations to see if that fixes it and I cannot even acquire another RTX 4090 even though they all specify they’re available in each different location. It always fails during deployment . this has been a nightmare. I’ve been trying to talk to Customer Service for two days straight now, and nobody gets back to me. I have an RTX 5090 set up that will not even ping or I cannot access and I had it running for $10 for a day. Not working. Ideally, I would like to have that RTX 5090 as my monthly always on cloud PC but it’s not working right now. I would also like to have the RTX 4090 set up that I currently have working and available to find an available gpu in the node to use because I I built a perfect image of windows on there with all my data and I can’t even use it. I spent all day yesterday building that windows image for me to use. I stopped it to save some money for a few hours. I went to turn it back on and I can’t use it now. It won’t activate.
View originalPricing found: $2.25/hr, $2.25/hr, $5, $0.12/hr, $2.25/hr
Please help with tensor dock [d]
Anyone have any idea what I should do. This is my email to tensor dock. I developed corporate GPU benchmarking software so I need a cloud PC that can benchmark 5090 Consumer cards and 4090 Consumer cards. It worked absolutely amazing for six hours yesterday on the 4090 full desktop PC performance in the cloud. But….. Look I’m really really upset here. I’ve been trying to deploy servers for two days now. I made one server successfully with an RTX 4090. It worked great for a few hours as soon as I stopped it when I went to turn it again on I haven’t been able to get another RTX in the node for the last 10 hours. So I can’t even activate A PC that I spent all day setting up yesterday. In order to use another cloud pc to work I tried to start up 4 more separate deployments today and none of them can initialize another RTX 4090 it always fails on the desktop once it is deployed so I have to keep deleting the vm. So now I tried three different node locations to see if that fixes it and I cannot even acquire another RTX 4090 even though they all specify they’re available in each different location. It always fails during deployment . this has been a nightmare. I’ve been trying to talk to Customer Service for two days straight now, and nobody gets back to me. I have an RTX 5090 set up that will not even ping or I cannot access and I had it running for $10 for a day. Not working. Ideally, I would like to have that RTX 5090 as my monthly always on cloud PC but it’s not working right now. I would also like to have the RTX 4090 set up that I currently have working and available to find an available gpu in the node to use because I I built a perfect image of windows on there with all my data and I can’t even use it. I spent all day yesterday building that windows image for me to use. I stopped it to save some money for a few hours. I went to turn it back on and I can’t use it now. It won’t activate.
View originalAnyone using Tensordock GPU instances and having problems with failing VM’s [D]
I have an GPU distributed instance VM (3 tier data center specified in the server’s info), 2 days ago I tried to start it up , while the whole time I was paying for storage so as not to lose my VM primary storage and in extend my whole work which is related to research and is valuable and the VM is failing to start , support is nowhere to be found no response no reply nothing and I already was paying every month automatically with my credit !!! Am angry as f$&-! , completely unreliable service and from a search around the net I found out that even if the disk image exist there is no option to mount it to a new VM , which honestly I wouldn’t mind !! Total reap off !! And the bot says I will get 40x credits in case of data loss, which I don’t know what it means . All in all you pay for something you think it’s reliable and you end up with nothing!
View originalYes, TensorDock offers a free tier. Pricing found: $2.25/hr, $2.25/hr, $5, $0.12/hr, $2.25/hr
Key features include: March News, Industry-leading pricing., H100 SXM5, A100 SXM4, RTX 4090, GPU Cloud, Instant VMs, CPU Cloud.
TensorDock is commonly used for: Training deep learning models for natural language processing, Real-time image recognition and classification, High-performance gaming server hosting, 3D rendering for animation and visual effects, Data analysis and processing for large datasets, AI-driven recommendation systems.
TensorDock integrates with: TensorFlow, PyTorch, Kubernetes, Docker, Apache Spark, Hadoop, Jupyter Notebooks, MLflow, OpenAI Gym, FastAPI.
TensorDock Core Cloud 1 Minute
Jul 25, 2022
