100% Dedicated. Unlike cloud platforms that use vGPU partitioning, you receive a true bare-metal server with exclusive access to the physical NVIDIA A10 hardware, ensuring maximum CUDA performance and strict data privacy.
Yes! Our London data center offers Dual Intel Xeon configurations paired with 2x NVIDIA A10 GPUs (giving you 48GB of total VRAM) for parallel workloads and heavy inference.
You have complete freedom. We support all major Linux distributions (Ubuntu, AlmaLinux, Debian), Windows Server, and hypervisors like Proxmox or ESXi. Since you get full root/admin access, you can install any specific NVIDIA driver version, CUDA toolkit, or ML framework your project requires.
Absolutely not. Moving large datasets for AI training or streaming high-bitrate video consumes massive bandwidth. That is why our A10 servers come with unmetered 1Gbps or 10Gbps dedicated ports. You will never see a surprise bill for inbound or outbound traffic.
No. We operate on a transparent, month-to-month billing cycle. You can scale up or cancel anytime without being locked into long-term enterprise contracts.
No. While the A10 is a passively cooled 150W card, ServerMO houses them in enterprise-grade server chassis with high-CFM airflow design, ensuring zero thermal throttling during 24/7 inference runs.
Standard A10 GPU configurations are typically provisioned, stress-tested (hardware burn-in), and handed over securely within 24 to 72 hours.
Since we provide full root access, we strongly advise enterprise clients to instantly configure UFW (Uncomplicated Firewall), enforce Key-based SSH authentication, and restrict Out-of-Band (IPMI) access to whitelisted IPs to protect sensitive ML datasets from unauthorized network scans.
