NVIDIA H100

Northern Data’s Taiga Cloud is the first European Generative AI Cloud platform to provide instant access to a clean, secure and compliant NVIDIA H100 GPU network.

NVIDIA H100
fast, secure and revolutionary

Multiple GPUs are essential for large data sets, complex simulations and GenAI and HPC workflows: the ninth-generation data center NVIDIA H100 Cloud GPUs are designed to deliver an order-of-magnitude performance leap for large-scale GenAI and HPC workloads over the prior-generation NVIDIA A100 GPUs.

Faster matrix computations than ever before on an even broader array of GenAI and HPC workloads
Secure Multi-Instance GPU (MIG) partitions the GPU into isolated, right-size instances to maximize quality of service (QoS) for smaller tasks
Up to 9X faster AI training and up to 30X faster AI inference compared to the prior GPU generation

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AI-aided design for the manufacturing and automotive Industries

The H100 Cloud GPUs deliver up to 7x higher performance rates and securely accelerate all workloads, from enterprise to exascale. This leads to various GenAI breakthroughs within different areas such as Engineering and Production. There are also exciting use cases in the fields of object detection or image segmentation, design and visualization, which benefit from real-time data interactivity.

NVIDIA H100 GPU benefits

Hosted in Europe

Achieve sovereignty and compliance standards

Non-blocking network

DE-CIX access and low latency (sub 10Ms)

No overbooking

NVIDIA GPUs as well as CPU and RAM resources

InfiniBand Pods of 512 GPUs

Pods are connected into islands of four pods each (2,048 GPUs) using NVIDIA BlueField DPUs and the NVIDIA Quantum-2 InfiniBand platform. This configuration offers efficient and quick means of training LLMs. It delivers Generative AI solutions in a much shorter timeframe.

PUE performance between 1.15 and 1.09

We leverage best-in-class infrastructure to ensure the environmental footprint of your compute-intensive processes is as light as possible.

Up to 9x higher AI training on largest models

Mixture of Experts (395 Billion Parameters)

Projected performance subject to change. Training Mixture of Experts (MoE) Transformer Switch-XXL variant with 395B parameters on 1T token dataset | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB

Up to 30X higher AI inference performance on largest models

Megatron Chatbot Inference (530 Billion Parameters)

Projected performance subject to change. Inference on Megatron 530B parameter model chatbot for input sequence length=128, output sequence length=20 | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB

Up to 7X higher performance for HPC applications

NVIDIA H100

NVIDIA H100
fast, secure and revolutionary

NVIDIA H100 GPU use cases

Higher education and research

AI-aided design for the manufacturing and automotive Industries

Health care and life science