Utilizing 100% renewable energy
GPU Clusters
Built for AI training and inference
Built for AI training and inference
Unlock top performance at a competitive price with the next-gen NVIDIA Hopper architecture.
With an 80GB memory size and a 3.35TB/s memory bandwidth, the H100 GPU clusters offer up to 4x higher AI training GPT-3 compared to the previous-generation A100 clusters.
GPU count
Scale your AI workloads on the world's most powerful GPUs available to date.
With a 141GB memory size and 4.8TB/s memory bandwidth, a single H200 SXM GPU can offer up to 2x faster real-time LLM inference compared to a single H100s SXM GPU.
GPU count
Reserve your spot and be among the first to run your AI workloads on the next-gen GPU clusters.
Combining 36 Grace-Blackwell superchips into a 72-GPU cluster, GB200 offers 30x faster real-time LLM inference and 4x faster training performance compared to the NVIDIA Hopper architecture.
72 GPU Cluster
| server type | GPU model | GPU memory per node | CPU per node | local NVMe storage | network bandwidth |
|---|---|---|---|---|---|
| 8x H100 | H100 SXM5 | 80G | 2x 96C - 384T | up to 245TB | 900 GB/s |
| 8x H200 | H200 SXM5 | 141G | 2x 96C - 384T | up to 245TB | 900 GB/s |
| GB200 NVL72 | B200 | 13,824 GB | 72 x 72C | Up to 2212TB | 1800 GB/s |
Secure and sustainable
Our clusters offer high uptime and rapid recovery, minimizing downtime disruptions. Hosted in carbon-neutral datacenters, we select locations with the greenest energy sources like nuclear, like nuclear, hydro, wind and geothermal.
Dependable performance, strong SLAs, and affordable high-throughput storage.
Get a shared slack channel to connect your engineers with the DataCrunch engineers running your servers
Pre-installed NVIDIA drivers, CUDA, fabric manager, OFED drivers Pre-benchmarked interconnect bandwidth
Cost-effective storage options that fit your precise project needs, with all data stored on European hardware
Our CPU nodes deliver approximately 30% single threaded workload performance gain, and 2x memory bandwidth
Customer feedback
Having direct contact between our engineering teams enables us to move incredibly fast. Being able to deploy any model at scale is exactly what we need in this fast moving industry. DataCrunch enables us to deploy custom models quickly and effortlessly.
From deployment to training, our entire language model journey was powered by DataCrunch's clusters. Their high-performance servers and storage solutions allowed us to run smooth operations and maximum uptime, and to to focus on achieving exceptional results without worrying about hardware issues.
DataCrunch powers our entire monitoring and security infrastructure with exceptional reliability. We also enforce firewall restrictions to protect against unauthorized access. Thanks to DataCrunch, our training clusters run smoothly and securely.
Let us know what you need to succeed
Talk to our VP of Sales
Anssi Harjunpää
