Decentrized GPU projects testing
Last updated
Last updated
GPU mega cluster prices:
Test results from io.net
https://docs.google.com/document/d/1nk25p-VU0P5qE2vtlKnSC1GFXmk4qElN9jlCOdKNCxc/edit
Upon deployment of over 6 clusters I have ran into same issue over and over again. Using Decentalized Ray Cluster of General cluster type with io.net as the cluster supplier, E2E encryption, and testing connection to Singapore, Vietnam, Thailand and US. With Ultra High, High, and Medium speed running GeForce RTX 3070, 3080, 4070, 4080 and 4090 on Ray App and IO Master Starter. I have deployed 1 hour long clusters.
The clusters took around 3 minutes to sprint up to be ready for usage. I got 3 options to access cluster, through VS, Jupiter and Ray, however all 3 links could not load properly. All 3 links were reloaded multiple times, and waited for up to 10 minutes, however none of them were loaded. Only once was I able to deploy a cluster which was accessible through Jupiter onl
Website: https://akash.network/
GPU renting price
A testing session was conducted for the Akash Network, during which an attempt was made to deploy nodes within the network infrastructure. The primary objective of this test was to evaluate the functionality and stability of the node deployment process, along with ensuring proper resource allocation and connectivity.
Node Deployment Failure:
The node failed to start as expected. According to the logs, there were issues related to FailedScheduling due to a lack of available nodes. The system reported that no nodes were available for scheduling the pod, indicating a resource constraint or configuration issue with the deployment environment.
Persistent Volume Claim Issue:
There was an issue with the Persistent Volume Claim (PVC) for the pod, which was not immediately bound, leading to a delay in resource allocation. This may have contributed to the node deployment failure.
Shell Access Problem:
The connection to the Akash Console Shell was lost, making it impossible to interact with the system or troubleshoot through the shell interface. This lack of shell access further hindered real-time debugging and manual inspection of the deployment environment.
Pod Container Back-off Error:
After pulling and creating the container for the service vl1m, the system encountered a BackOff error when restarting the failed container. This indicates that the container failed to run successfully after multiple attempts, potentially due to the earlier PVC issue or misconfiguration.
GPU renting price
During an attempt to purchase an NVIDIA GeForce RTX 3090 GPU on the Netmind platform, an issue was encountered where no funds were deducted from either the Bybit or MetaMask wallets. The transaction involved ETH, NTM, and USDC, but none of these funds were processed. Attached is a screenshot showing the issue. The steps to reproduce the problem are as follows: select the NVIDIA GeForce RTX 3090 GPU for purchase, choose either Bybit or MetaMask wallet for the transaction, and attempt to complete the purchase. It was observed that no funds were deducted from the selected wallet. The expected behavior is that funds should be successfully deducted from the chosen wallet for the GPU purchase.
Web-site: https://octa.space/
GPU rental price
The Octaspace platform has a dashboard designed to track active online nodes. The project doesnt have its own computer resourses, which would be always available for rent. However, as of now, the dashboard displays zero active nodes, meaning that it is currently impossible to rent computational power through the platform.
This absence of available nodes limits the platform’s functionality, preventing users from utilizing the intended services for renting or accessing computational resources.
GPU price rental
On the NodeAI platform, a GPU RTX 6000Ada was purchased with the minimum payment for a 12-hour usage period. The payment was successfully processed, and the funds were deducted from the wallet. However, an issue was observed one hour after the purchase: the GPU remains unavailable and errors persist, as shown in the attached screenshots.
Despite the payment being completed and funds deducted, there has been no progress in making the GPU operational. The website provides no further information or updates on the status of the GPU.
Web-site: https://www.runpod.io/
Current prices for GPU:
Report on Runpod.io Payment System:
During the testing of the Runpod.io platform, it was found that when attempting to pay using cryptocurrency, the website ceases to function properly. In addition to the absence of integration with popular decentralized wallets like MetaMask, Trust Wallet, or Phantom, the platform becomes unresponsive when cryptocurrency payment methods are selected. This issue prevents users from completing transactions and significantly impacts the user experience, especially for those who prefer or depend on cryptocurrency for payments. Addressing this malfunction would be crucial for improving the platform's usability and accommodating a broader user base.
Web-site: https://www.spheron.network/
During the process of setting up the Spheron Protocol, several limitations were identified, which may impact the user experience, particularly for those using the Windows operating system. These findings include:
Protocol Installation Unavailable on Windows: Currently, Spheron Protocol’s CLI (sphnctl) is only available for installation on Linux and macOS. Windows users are unable to directly install the protocol, creating a significant accessibility barrier for a large portion of potential users.
Dependency on Curl Installation: For users on supported operating systems, installing the Spheron CLI requires the presence of curl on the system. This adds an extra layer of complexity for users who may not already have curl installed, requiring them to install this tool before proceeding with the protocol setup.
Account Creation Requirement: Prior to utilizing the protocol, users must create an account, which could be an additional inconvenience for some. This registration process, while necessary for wallet creation and protocol interaction, adds further time and steps to the overall deployment process.
Slow Protocol Connectivity: Connecting to the Spheron Protocol, especially during the deployment phase, takes an extended amount of time. This can slow down operations, leading to inefficiencies and frustration for users seeking a more streamlined experience.
There is currently one active server that is inaccessible, and no actions can be performed with it, including deletion or modification. Attempts were made to complete transactions using Spheron’s native currency, including using their built-in NMT/USDC conversion, but these efforts were unsuccessful. Following their recommendations, MetaMask was downloaded and installed. The payment was processed successfully, and the funds were deducted, but connectivity to the server was not achieved. Further assistance from Spheron support is required to resolve the server access issue and verify that all transaction-related configurations are correctly set up.
Web-site: https://www.gpu.net/
The GPU.net platform is undergoing continuous updates and improvements due to the frequent occurrence of errors reported by its users. According to user feedback, these errors significantly impact the platform's stability and functionality. As a result, users often experience difficulties accessing the platform, with disruptions and downtime being a common issue.
In addition, the constantly evolving protocol of the platform exacerbates the problem, preventing users from utilizing GPU.net effectively. The frequent updates, while intended to address these issues, often lead to further complications, making it difficult for users to rely on the platform for uninterrupted access and services. A more stable and reliable solution is necessary to ensure seamless access and maintain the trust of the user base.
Web-site: https://www.neurochain.ai/
Neurochain.ai currently does not allow users to directly rent computing power from other individuals. Instead, the platform enables users to provide their own computational resources for various tasks. For general users, the only available option at this time is to perform data tasks.
To submit a data task, users are required to fill out a detailed form where they must specify the task description, technical requirements, and provide their contact information. This ensures that the task is processed according to their specific needs.
Additionally, the platform offers a "Neurochat" feature, which allows users to interact with an AI-powered chat system based on GPT technology. This service provides users with the ability to communicate and obtain information or assistance in real-time.
Web-site: https://nosana.io/
The Nosana platform requires users to complete a form and establish direct contact with the company before gaining access to computational resources. This process is mandatory for all users wishing to utilize the platform's services.
Additionally, the project does not offer the ability to view pricing information upfront. Users can only receive details about the costs of the services after submitting the form and engaging directly with the company. This approach ensures that Nosana customizes the service offerings according to the specific needs and requirements provided by the user in the form.
On the Fluence platform, access to GPU computational resources is not available without first completing a form and engaging in direct contact with the company. Users must provide detailed information about their requirements through the form, after which the company will reach out to discuss the specifics and offer access to the resources.
Need to get project’s approval to get GPU
