Choose the optimal AI-ready dedicated server for your project. From budget inference solutions to enterprise LLM platforms — all plans include bare-metal isolation, full root access, and fixed monthly billing with no per-hour surprises.
Starter
GPU
$159
Save up to 50%
with fixed-term billing
CPU : 2 x Intel Xeon Silver 4214 - 24c/48t (base 2.2GHz/max 3.2GHz)
Prices do not include VAT. VAT will be calculated at checkout based on your location.
Why Leading Teams Trust Us
Experience unmatched reliability, speed, and power built for the most demanding workloads
Scalable
Our servers can be scalable on demand. RAM, Storage, or port speed, everything can be changed according to your requirements.
Root Access
Dedicated servers provide you with full access to your resources without any limitations except hardware ones. You are an independent unit in the data center.
Top-notch security
We choose Tier 2 and 3 data centers exclusively to make sure that no one can get physical access to our server infrastructure.
Guaranteed uptime
Our server uptime is 99,9% and we are doing our best that it keeps being that way and even higher. Most of our infrastructure stays online for years!
What is an AI Dedicated Server?
High-performance bare-metal for deep learning and AI inference.
Deploy your AI workloads on bare-metal infrastructure built for machine learning, deep learning, and large-scale inference. BlueServers AI dedicated servers deliver uncompromised computational power, complete hardware isolation, and full root-level access — no shared resources, no throttling, no unpredictable costs.
An AI dedicated server is a bare-metal physical server exclusively allocated to a single client, purpose-built for machine learning, deep learning, neural network training, and high-performance computing (HPC). Unlike a standard web server, a dedicated AI server is configured around parallel processing workloads — high core-count CPUs, large RAM capacities, NVMe storage, and specialised GPU accelerators.
When you rent a dedicated server for AI, you receive a single-tenant physical machine. No virtualisation layer, no hypervisor overhead, no shared CPU cache pollution. The hardware is yours exclusively for the duration of your rental period.
Why Rent a Dedicated Server for AI Workloads?
Predictable, fixed costs. An AI dedicated server price is fixed monthly — you know your infrastructure cost before the billing cycle begins, regardless of how many hours your training jobs run.
No noisy neighbour effect. A dedicated server for AI workloads gives you exclusive access to every hardware resource — cache, memory controller, NVMe queue depth, and network uplink — ensuring consistent training throughput across long-running jobs.
Full hardware control. On a BlueServers AI dedicated server, you control the entire software stack from the BIOS level upward — kernel parameters, driver versions, and low-level hardware configuration.
Choosing a configuration that matched our workload was straightforward. When needs changed, scaling to more cores and memory was simple and did not require reworking infrastructure.
Busy periods used to make us nervous because timeouts meant angry customers. With BlueServers, connections stay reliable even under heavy traffic, network quality holds up, and support tickets dropped fast!
Stable storage performance is critical for our databases. Disk input and output remain predictable under load, keeping queries fast and backups running smoothly.
We run multiple services, queues, and databases on one server. Dedicated resources allow fine tuning without hitting artificial limits or contention problems.
We deliver large media files and streams every day. Bandwidth stays consistent during peak usage and users experience fewer buffering issues overall. It made a clear difference!
The service feels designed for real production workloads. Hardware quality, network stability, and consistent performance removed hosting from our list of daily concerns.
As a CTO at a subscription based SaaS company, I track infrastructure costs closely. With BlueServers, pricing stays predictable as usage grows, so forecasting is straightforward and surprises are rare.
When our fintech payments platform has a hiccup, we cannot wait. BlueServers support reads the full thread, asks smart diagnostics questions, and fixes issues fast before transactions are affected.
At our analytics company, we process large event streams and serve live dashboards. BlueServers runs batch jobs and real time queries together without slowing reports or making the interface feel laggy.
In our ecommerce shop, flash sales used to be stressful. With BlueServers, checkout stays responsive, inventory sync runs smoothly, and we avoid failed orders when traffic and transactions spike.
Our team runs a SaaS product with CI pipelines and several microservices. BlueServers stability cut emergency fixes dramatically. We ship features instead of restarting services or chasing performance issues.
Our dashboards stopped showing unexplained spikes. Metrics remain steady, alerts are rare, and daily operations feel quieter across both normal and peak usage.
Traffic spikes used to change how the system behaved. With dedicated capacity, response times remain consistent in the evenings and planning feels much more reliable.
Running a growing SaaS app, we used to chase random performance drops every week, jumping between logs, metrics, and alerts without clear answers. After switching to BlueServers, behavior became predictable and infrastructure stopped being a question mark.
As our database grew, we added more memory and storage. The process was smooth and did not interrupt production. Capacity planning feels simpler when upgrades are handled cleanly.
Our API handles high request volume throughout the day. BlueServers keeps throughput stable over long periods and avoids slowdowns during bursts, deployments, and heavy logging activity.
For our mobile commerce platform, we deployed in a closer region and noticed lower latency immediately. Pages load faster, API calls complete quicker, and the whole experience feels more responsive overall.
Physical servers removed noisy neighbor problems completely. CPU and RAM stay consistent during parallel workloads, container builds, and background jobs. Performance is predictable because resources are not shared.
We ran a campaign that tripled traffic overnight. Dedicated capacity kept response times stable, avoided throttling, and handled checkout load cleanly. CPU and memory usage stayed steady the entire time.
I was pleasantly surprised by the server’s speed. Even during peak hours, the 128 GB RAM and NVMe storage kept all processes smooth. Perfect choice for developers working with heavy environments.
I’ve been using a dedicated server from BlueServers for my ecommerce projects, and the reliability is outstanding. Zero downtime, stable performance, and excellent support when I needed quick configuration help.
The dedicated server exceeded my expectations. The 8-CORE CPU and 64 GB RAM handled all my data-processing tasks effortlessly. Deployment was instant, and the connection speed was truly impressive.
As a tech enthusiast, I highly recommend servers by Blueservers in Poland! The 16 CORE CPU and 256 GB RAM provided excellent performance for my projects. The server's location offered low latency and fast access.
The Windows 2019 dedicated server was perfect for my business needs! The 16 CORE CPU and 1TB RAM ensured smooth operations for my resource-intensive applications.
The server in Poland offered low-latency access to my European clients.
I was amazed by the GPU rendering power of this server in Poland! The 10 Core CPU and 256 GB RAM accelerated my rendering tasks significantly. The dedicated GPU resources allowed for smooth real-time previews.
A dedicated server is inherently more secure because no resources are shared. You can implement custom firewalls, access rules, encryption, and monitoring tools.
We support multiple payment options, including PayPal, WebMoney, Alipay, Stripe, bank transfer, and various cryptocurrencies. You can pick the method that is most convenient for you during checkout.
An AI dedicated server is a bare-metal physical server equipped with high-core-count CPUs, NVMe SSD storage, and specialised GPU accelerators, optimised for machine learning, deep learning, LLM inference, and HPC workloads. Unlike shared or virtualised infrastructure, all hardware resources are exclusively allocated to a single client.
Yes. An AI Dedicated Server is ideal for AI development, testing, and deployment. You get dedicated GPU resources and full control over the server, making it suitable for running AI models, training and fine-tuning, developing AI applications, and testing different frameworks and configurations.
AI dedicated server cost depends on the configuration. Our lineup includes budget AI dedicated server solutions starting from $159/month through to high-performance Enterprise platforms for LLM inference and HPC. All plans are billed at a fixed monthly rate with no per-hour surprises.
Yes. Every BlueServers AI dedicated server comes with full root access via SSH and IPMI, allowing you to install any operating system (Ubuntu, Rocky Linux, Windows Server) and configure any custom ML software stack including CUDA drivers, PyTorch, TensorFlow, Docker, and Kubernetes.
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