Quickstart

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Setting up your Qubrid Account

• Create a new account on platform.qubrid.com
• SignUp using Google or GitHub for faster activation
• If you want to use our account creation, enter your name, email, mobile number, organzation & finally set a password
• Agree to the terms and conditions & click Sign Up

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Launch your first GPU Virtual Machine

• From the platform, head over to GPU Instances
• Select your preferred GPU Instance (Example: A100)
• Choose the number of GPUs you’d need, it might be 1,4 or 8
• vCPU Core & RAM is populated based on the GPU Instance which is selected
• Choose your Root Disk storage in Gigabytes (Starts at 100 GB & goes till 2 TB)
• Select your Interface Console. By default its set to Jupyter, but if you want to access your machine via SSH, enable the SSH Option & provide your Public Key
• Enter your Jupyter Authentication Token only, in case you don’t want to access via SSH
• Configure Auto Stop, to shuts down the instance after a specific amount of time
• Review your selections from the floating wizard at the right part of the dashboard
• Once you have reviewed, click on Launch to launch your GPU Instance or click on Reset to start over again

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Check Usage & Credits

• View your available credits in navigation bar provided
• Track usage history and billing information
• Add credits (Available for $5, $10, $30, $50 or some custom amount)

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Do whatever you want!

• Run inference using a template or your own model
• Perform fine-tuning on supported models
• Save and reuse deployed models
• Use our 2 Step RAG or define a custom RAG Pipeline
• Deploy clusters of GPUs in 1 Click
• Reserve a Bare Metal Server

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Next steps