What are the advantages of NVIDIA P100 GPUs?

The NVIDIA Pascal architecture enables the Tesla P100 to deliver superior performance for HPC and hyperscale workloads. With more than 21 teraFLOPS of 16-bit floating-point (FP16) performance, Pascal is optimized to drive exciting new possibilities in Deep Learning applications. Pascal also delivers over 5 and 10 teraFLOPS of double- and single-precision performance for HPC workloads.

Will my GPU be part of an ecosystem I can leverage?

Our outstanding GPUs are even more valuable when used with our various cloud services. Benefit from our Block Storage offers and our S3-compatible Object Storage, offering 75GB of storage for free every month. Discover our free and managed Kubernetes Kapsule control plane, allowing you to easily create your autoscaled CPU and GPU clusters. Read our article on How to deploy Kubeflow on Kubernetes Kapsule

What is included in an Scaleway “Ubuntu ML” image?

Our Ubuntu ML (for Machine Learning) images are Ubuntu bionic images pre-packaged with the most popular tools, framework and libraries, such as Cuda, Conda, TensorFlow, Keras, RAPIDS, JAX, and several NLP and visualization tools.

Am I required to use a Scaleway "Ubuntu ML" image?

In addition to “Ubuntu ML” images, you can use almost every other image that Scaleway provides for General Purpose Instances. You can also bring your own images. If you want to use our “Ubuntu ML” images without Conda, you can save some disk space with the invit conda deactivate, then conda env remove -n ai.

Home GPU Render Instances

GPU Render Instances

Dedicated Tesla P100s for all your Machine Learning & Artificial Intelligence needs.

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Accelerate data processing

Process large videos & images with ease or run GPU-intensive Machine Learning models.

Container-ready

Deploy GPU nodes directly from Kubernetes Kapsule or use the NVIDIA Container Toolkit.

Easy to use

Two pre-loaded Ubuntu distributions for Machine Learning.

Available zones:

Paris:PAR 1PAR 2

Technical specifications

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

Use cases

Artificial Intelligence & Machine Learning

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.