Accelerate data processing
Process large videos & images with ease or run GPU-intensive Machine Learning models.
Dedicated Tesla P100s for all your Machine Learning & Artificial Intelligence needs.
Process large videos & images with ease or run GPU-intensive Machine Learning models.
Deploy GPU nodes directly from Kubernetes Kapsule or use the NVIDIA Container Toolkit.
Two pre-loaded Ubuntu distributions for Machine Learning.
GPUDedicated NVIDIA Tesla P100 16GB PCIe
Processor Frequency2.40 GHz
Memory42GB
Bandwidth1 Gbit/s
Processor10 Intel Xeon Gold 6148 cores
GPU Memory16GB CoWoS HBM2
Memory typeDDR4-2666
StorageLocal Storage or Block Storage on demand
GPU Instances have been designed to train complex models at high speed so you can improve your algorithms’ predictions and decisions. The dedicated NVIDIA Tesla P100 makes them particularly well-suited for Neural Networks and Deep Learning applications.
GPU Instances allow you to manipulate large datasets and extract the meaningful information you are looking for at high speed. They help data scientists summarize and classify non-structured data.
GPU Instances can speed up ultra-high-definition video encoding and render 3D models at high speed. Optimize the cost and duration of your post-production needs, whether they are one-off or regular.