Machine learning development requires a lot of computing power. Specifically GPU powered computing. GPUs are super expensive on incumbents like AWS. This creates a big divide between compute rich and compute poor developers and teams. Thus becoming a bottleneck for over 5 Million ML devs.
At Q Blocks, we have figured out a new way to solve this. To bring access to the most powerful GPUs at 1/10th the cost with the reliability and scalability of a cloud.
Try Q Blocks and save significant costs for training and tuning your next ML model
There's a middle way: qblocks.cloud - This platform that enables access of unused GPU servers across the globe. It works like a traditional cloud by offering scalability, security and reliability while being upto 80% low cost for AI workloads. Also, offers inbuilt Jupyterlab, AI framework, GPU driver support out of the box. Thus no time wasted in server setup. Source: over 1 year ago
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