GPU cloud
GPU cloud infrastructure
GPU cloud
GPU cloud infrastructure
Gcore GPU Cloud provides high-performance compute clusters designed for machine learning tasks.
AI GPU infrastructure
Train your ML models with the latest NVIDIA GPUs. We offer a wide range of Bare Metal servers and Virtual Machines powered by NVIDIA A100, H100, and L40S GPUs.
Pick the configuration and reservation plan that best fits your computing requirements.
| Specification | Characteristics | Use case | Performance |
|---|---|---|---|
| H100 with Infiniband | - 8x Nvidia H100 80GB - 2 Intel Xeon 8480+ - 2TB RAM - 2x 960GB - 8x 3.84 TB NVMe - 3.2 Tbit/s Infiniband - 2x100Gbit/s Ethernet | Optimized for distributed training of Large Language Models. | Ultimate performance for compute-intensive tasks that require a significant exchange of data by the network. |
| A100 with Infiniband | - 8x Nvidia A100 80GB - 2 Intel Xeon 8468 - 2TB RAM - 2x 960GB SSD - 8x 3.84 TB NVMe - 800Gbit/s Infiniband | Distributed training for ML models and a broad range of HPC workloads. | Well-balanced in performance and price. |
| A100 without Infiniband | - 8x Nvidia A100 80GB - 2 Intel Xeon 8468 - 2TB RAM - 2x 960GB SSD - 8x 3.84 TB NVMe - 2x100Gbit/s Ethernet | Training and fine-tuning of models on single nodes. Inference for large models. Multi-user HPC cluster. | The best solution for inference models that require more than 48GB vRAM. |
| L40 | - 8x Nvidia L40S - 2x Intel Xeon 8468 - 2TB RAM - 4x 7.68TB NVMe SSD - 2x25Gbit/s Ethernet | Model inference. Fine-tuning for small and medium-size models. | The best solution for inference models that require less than 48GB vRAM. |
Explore our competitive pricing on the AI GPU Cloud infrastructure pricing page.
Tools supported by GCore GPU cloud
| Tool class | List of tools | Explanation |
|---|---|---|
| Framework | TensorFlow, Keras, PyTorch, Paddle Paddle, ONNX, Hugging Face | Your model is supposed to use one of these frameworks for correct work. |
| Data platforms | PostgreSQL, Hadoop, Spark, Vertika | You can set up a connection between our cluster and your data platforms of these types to make them work together. |
| Programming languages | JavaScript, R, Swift, Python | Your model is supposed to be written in one of these languages for correct work. |
| Resources for receiving and processing data | Storm, Spark, Kafka, PySpark, MS SQL, Oracle, MongoDB | You can set up a connection between our cluster and your resources of these types to make them work together. |
| Exploration and visualization tools | Seaborn, Matplotlib, TensorBoard | You can connect our cluster to these tools to visualize your model. |