A new cloud for a new generation of innovation
Taiga Cloud is Europe’s largest AI cloud service provider, fuelled by the very latest NVIDIA technology solutions. Our infrastructure as a service provides true data sovereignty running on carbon-free energy – via the Taiga Cloud self-service portal or through our API.
NVIDIA GB200 GPUs
The GB200 NVL72 is a high-performance AI engine with 72 Blackwell GPUs and 36 Grace CPUs, delivering 30X faster inference for trillion-parameter models. Designed for efficiency with liquid cooling, it offers 25X more performance than NVIDIA H100 air-cooled systems at the same power while reducing water consumption. Its second-generation Transformer Engine with FP8 precision enables 4X faster training for large language models, and it accelerates key database queries by 18X compared to CPUs, achieving 5X better total cost of ownership (TCO).
Top 3 GB200 GPUs use cases
LLM inference, model acceleration, and large-scale AI training.
Product design, physics simulations, and circuit acceleration.
Data compression, storage efficiency, and accelerated analytics.
NVIDIA H200 Tensor Core GPUs
With almost double the memory capacity of the NVIDIA H100 Tensor Core GPU, plus advanced performance capabilities, the H200 is a game changer. Our AI platform, Taiga Cloud, is one of the first in Europe to offer instant access to this revolutionary hardware, which offers 141 gigabytes of HBM3e memory at 4.8 terabytes per second and 4 petaFLOPS of FP8 performance. Get ready to supercharge your AI and HPC workloads with up to 2x the LLM inference performance, 110x faster time to results and a 50% reduction in LLM energy use and TCO.
Top 3 H200 Tensor Core GPUs use cases
Market simulations, risk assessment, and fraud detection.
Digital twin simulations for factories and logistics.
Processing larger datasets for drug discovery and medicine
NVIDIA H100 Tensor Core GPUs
Choose the NVIDIA H100 for enterprise AI – up to 9x faster AI training on the largest models. Configured into pods of 512 GPUs, connected into islands of four pods each (2,048 GPUs) using NVIDIA BlueField DPUs and the NVIDIA Quantum-2 InfiniBand platform, we offer efficient and quick means of training LLMS. This configuration offers businesses AI solutions in a much shorter timeframe. These H100 Tensor Core GPU islands will be spread across our European, clean-energy data center estate, providing additional resilience and redundancy.
Top 3 H100 Tensor Core GPUs use cases
Industry leading conversational AI and deep learning applications
AI-aided design for the manufacturing and automotive industries
Advanced medical research and scientific discoveries
NVIDIA A100 Cloud GPUs
The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration in AI and data analytics, and HPC at any scale. The current generation of A100 GPUs delivers up to 20x the performance of the previous generation.
Top 3 A100 use cases
Deep learning training
Deep learning inferencing
High performance data analytics
NVIDIA RTX™ A6000 GPUs
The NVIDIA RTX™ A6000 GPUs provide the speed and performance to enable engineers to develop innovative products, help architects design cutting-edge buildings, and helps scientists make breakthrough discoveries.
Top 3 NVIDIA RTX™ A6000 use cases
Graphics and simulation workflows
Photorealistic rendering, CAD and CAE
