These instances are powered by eight NVIDIA A100 Tensor Core GPUs, each providing 80 GB of high-bandwidth HBM2e memory. As a foundational accelerator for the previous generation of AI, these are versatile instances that deliver excellent performance for mixed-precision workloads. The GPUs are interconnected with NVIDIA NVLink, making them a powerful and proven choice for distributed training. Their configuration offers a cost-effective solution for a wide range of demanding AI and data analytics tasks.
Specifications
| Feature | Detail |
|---|
| Category | Professional AI & Graphics |
| Instance ID | gd-8xa100-i128 |
| GPU | 8x NVIDIA A100 |
| GPU RAM | 80 GB |
| GPU Connectivity | NVLink |
| CPU Model | Intel Ice Lake 8358 (2.60 GHz) |
| vCPUs | 128 |
| RAM | 2048 GB |
| Local Storage | 7.68 TB |
| Network Speed | Single-port 100GbE |
| Availability | RNO2A
US-EAST-04A |
Primary use cases
AI model training, high-performance inference, and various HPC applications including scientific simulations.
Recommended models
Training models up to 40B parameters such as Gemma 4 31B; a standard choice for fine-tuning most mid-sized open-source models. For inference, they can handle models up to 40B, such as Qwen 3.6 35B-A3B, on a per-GPU basis or a single instance of a quantized larger model such as Qwen 3.5 397B-A17B utilizing tensor parallelism. Last modified on May 12, 2026
