Vast.ai interruptible instances use a direct bidding system but are otherwise not limited. In addition GCE interruptible instances can only run for 24 hours. AWS spot instances and GCE interruptible instances both can be interrupted by on demand instances, but they do not use a direct bidding system. They are similar but have a few key differences. Are vast.ai interruptible instances the same as AWS spot or GCE interruptible? Interruptible instances use a bidding system: clients set a bid price for their instance the current highest bid is the instance that runs, the others are paused. On Demand instances have a fixed price set by the host and run for as long as the client wants. We currently offer two rental types: On Demand (High Priority) and Interruptible (Low Priority). For example, if you select the Pytorch image, the DLPerf scores will automatically adjust to predict Pytorch benchmark performance, a fp16/fp32 checkbox can provide information for even more informative scores, and so on. In the near future we intend to improve DLPerf by incorporating search criteria into the score dynamically, and later - by using deep learning (of course!). Although far from perfect, DLPerf is more useful for predicting performance than TFLops for most tasks. ![]() A single score can never be accurate for predicting performance across a wide variety of tasks the best we can do is approximate performance on many tasks with a weighted combination. It turns out that many tasks have similar performance characteristics, but naturally if your task is very unusual in its compute requirements the DLPerf score may not be very predictive. For example on these tasks, a V100 instance with a DLPerf score of 21 is roughly ~2x faster than a 1080Ti with a DLPerf of 10. Currently DLPerf predicts performance well in terms of iters/second for a few common tasks such as training resnet50 CNNs. It is an approximate estimate of performance for typical deep learning tasks. DLPerf What is DLPerf?ĭLPerf (Deep Learning Performance) - is our own scoring function. What interface is provided?Ĭurrently vast has ssh access (for ssh instances), jupyter instances with jupyter GUI, or a command-only instance mode. Vast currently provides linux docker instances, mostly Ubuntu based, no Windows. What operating systems are provided? Windows? We are helping the millions of underutilized consumer GPUs around the world enter the cloud computing market for the first time. Vast.ai provides a simple interface to rent powerful machines at the best possible prices, reducing GPU cloud computing costs by ~3x to 5x.Ĭonsumer computers and consumer GPUs in particular are considerably more cost effective than equivalent enteprise hardware. ![]() Clients then find suitable machines using our flexible search interface, rent their desired machines, and finally run commands or start SSH sessions with a few clicks. Hosts download and run our management software, list their machines, configure prices and set any default jobs. Our web search interface allows users to quickly find the best deals for compute according to their specific requirements. Our software allows anyone to easily become a host by renting out their hardware. ![]() Vast.ai is a cloud computing, matchmaking and aggregation service focused on lowering the price of compute-intensive workloads.
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