We exclusively offer the NVIDIA A100 80GB HBM2e version. Compared to the 40GB model, the 80GB version provides double the memory capacity and a massive 2TB/s memory bandwidth. This is critical for running larger datasets and more complex AI models without encountering memory bottlenecks.
Yes, our NVIDIA A100 Bare Metal servers are MIG-Ready at the hardware level. However, for maximum flexibility, we deliver servers with MIG disabled by default.
As a dedicated server user with full root access, you can easily enable and configure MIG using the nvidia-smi tool to partition your 80GB VRAM into up to 7 isolated instances based on your specific workload requirements.
This ensures you have total control over how your GPU resources are allocated.
To ensure zero hardware bottlenecks, we pair our NVIDIA A100 GPUs with Native PCIe Gen 4.0 processors, including AMD EPYC™ 7000/9000 series and Intel® Xeon® Scalable Gen 3/4. This configuration supports the full 64GB/s bidirectional throughput required for high-speed data transfer between the CPU and GPU.
While the H100 is designed for large-scale model training, the A100 80GB remains the industry "Sweet Spot" for LLM Fine-tuning (LoRA/QLoRA), high-throughput AI inference, and deep learning R&D. If your workload requires massive VRAM but your budget demands a higher ROI, the A100 is often the smarter choice for mid-to-large scale deployments.
Network performance is vital for AI data ingestion. Depending on the location, we offer premium connectivity ranging from 2Gbps Unmetered ports in the Netherlands to 10Gbps/100Gbps dedicated uplinks in our USA and Asian data centers. This ensures that your massive training datasets are transferred rapidly without latency issues.
Absolutely. As these are 100% Bare Metal Dedicated Servers, you get full Root/Administrator access and IPMI/KVM control. You can install any Linux distribution (Ubuntu, CentOS, Rocky Linux) or Windows Server, and configure your own NVIDIA drivers, CUDA versions, and Docker/Kubernetes environments without any provider-level restrictions.
