Compute

GPU

NVIDIA L40S GPU instances to accelerate your application calculations on a wide variety of artificial intelligence and high-performance computing tasks

Available Q2 2024

Speeding up treatment

Putting pre-trained neural networks into production plays an essential role in developing responses and recommendations for AI services. Our GPUs can deliver up to 27 times the inference performance of a single-socket server, significantly reducing operating costs.

Innovating with AI and Machine Learning

To boost the productivity of data scientists and implement new AI services more quickly, you need to train increasingly complex models faster and faster. Our NVIDIA L40S GPUs reduce Deep Learning training procedures to just a few hours.

Improving efficiency

Fully compatible with the Kubernetes platform, the container systems and the virtual machines L40S GPU technology simplifies access to computing resources for all users, whatever the type of workload.

Technical
specifications

FP32
91.6 TFLops

FP32 Tensor Core
366 TFlops

FP16
733 TFlops

FP8
1466 TFlops

RT Performance
212 Flops

Maximum consumption
350 W

Pricing

Use cases

Engineering and simulation

GPU instances are used in the most powerful modelling systems, offering the power required to run simulation tools in real time and accelerate innovation.

Use cases

Artificial intelligence and machine learning

Thanks to the high inference performance of NVIDIA A100 GPUs, create and train artificial intelligence neural networks and process massive volumes of data.

Use cases

Scientific research

Fundamental and applied research institutes can harness the power of the GPU to model complex scenarios and reduce the time needed to analyse the data.