As an AI Startup, the Hyperscale cloud can be a great place to start your compute journey. But...
As your compute scales and your utilisation and data movement increases, AI Startups need to re-address their compute profile. By switching to colo you can save costs, improve performance and avoid cloud lock-in headaches.
Download our Cloud or Colo? Whitepaper for more information.
 | Keep it Simple – You don't need a phD in cloud pricing when you use colo. You pay for your space, power and connectivity and that's it. No hidden charges, no nasty surprises, no cloud lock-in. |
 | Go Faster – Need genuine HPC performance for your AI-training? With compute nodes and GPUs connected directly together in one location, you can fine-tune your cluster's performance. |
 | Save Costs – At 50% continuous workload utilisation you can save upwards of 70% in a colo environment compared to hyperscale cloud. Read our whitepaper to find out more... |
We began to realise that the cloud was highly inefficient for experimental instances. Our supercomputer (at Kao Data) will provide an ROI in less than 6 months compared to running development cycles on the cloud.”
Nacef LabidiLead DevOps Engineer, Instadeep
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