Dedicated servers for Artificial Intelligence (AI) and Machine Learning (ML)
Dedicated servers for AI are essential platforms for both the compute-intensive phase of AI training and the subsequent application stage of AI inference. These high-performance servers, often configured with multiple GPUs, are primarily used for demanding AI training, where massive datasets are fed to algorithms to create sophisticated AI models. The dedicated nature ensures consistent power and low latency, crucial for efficient scaling of deep learning experiments. Once models are trained, these servers switch roles to facilitate AI inference, where the developed AI is put into production to generate predictions or responses.
AI is becoming more and more powerful. As AI technology continues to develop, it is becoming more powerful. This means that AI is able to perform tasks that were previously impossible.
AI is becoming more affordable. The cost of AI technology is decreasing, which is making it more accessible to businesses and individuals.
AI is being used in a wide variety of industries. AI is already being used in a wide variety of industries, including healthcare, finance, manufacturing, and retail. This trend is only expected to continue in the future
Automation: AI can automate repetitive tasks, freeing up human employees for more strategic work and increasing efficiency. This ranges from simple data entry to complex processes like customer service interactions.
Data analysis and insights: AI excels at analyzing vast amounts of data to identify patterns, trends, and insights that humans might miss. This can lead to better decision-making, personalized marketing, and improved product development.
Improved decision-making: By providing data-driven insights and predictions, AI empowers businesses to make more informed and strategic decisions, minimizing risks and maximizing opportunities.
Enhanced customer experience: AI-powered chatbots, virtual assistants, and personalized recommendations can significantly improve the customer experience, making it more convenient, efficient, and engaging.
Innovation: AI can drive innovation by enabling the development of new products, services, and business models. It can also accelerate research and development by analyzing data and identifying potential breakthroughs.
A dedicated server offers the flexibility to host a wide range of models and ecosystems. For instance, platforms like Ollama can be deployed to easily serve and run open-source large language models (LLMs) such as Deepseek locally for rapid prototyping and private, secure inference. Simultaneously, the environment can be used to experiment with, fine-tune, or securely integrate proprietary models from providers like Anthropic, ensuring full control over the data and the operational environment. Other popular models are:
1. llama.cpp is a project that optimizes Llama for efficient inference, even on CPUs. This makes it a good option if you don't have a top-of-the-line GPU. You can run quantized versions of Llama models, which significantly reduce memory and processing requirements. It's great for text generation, but performance will vary based on the model size and your hardware. It's a good starting point for exploring LLMs locally.
2. Stable Diffusion (image generation) is a popular and powerful image generation model. While training it requires significant resources, running inference (generating images from text prompts) is more manageable, especially with optimizations. You can adjust the image size and number of steps to balance quality and speed on your server. It's a fantastic choice for creative projects.
3. Whisper (speech recognition): OpenAI's model is excellent for transcribing audio. It's relatively efficient and can be run on a server with a decent GPU or even CPU. You can use it for tasks like creating transcripts of meetings, podcasts, or lectures. Different model sizes are available, allowing you to choose one that fits your hardware.
Installing and activating the server usually takes less than 12 hours. In some cases, activation of certain configurations may take up to 5 days. Check the availability and timing of server installation with our employees in chat or by phone!
If the order is created using VPN or the profile data is incomplete or incorrect, you will need to verify your account.
PCI Express Gen 4 doubles the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI, data science, and 3D design. Faster PCIe performance also accelerates GPU direct memory access (DMA) transfers, providing faster I/O communication of video data between the GPU and GPUDirect® for Video-enabled devices delivering a powerful solution for live broadcasts. A40 is compatible with PCI Express Gen 3 for deployment flexibility.
NVIDIA A100 delivers 312 TFLOPS of deep learning performance. That’s 20X the Tensor floating-point operations per second (FLOPS) for deep learning training and 20X the Tensor tera operations per second (TOPS) for deep learning inference compared to NVIDIA Volta GPUs.
An A100 GPU can be partitioned into as many as seven GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications, and IT administrators can offer right-sized GPU acceleration for every job, optimizing utilization and expanding access to every user and application.
Pick from the best data centers in United Kingdom, Finland, Germany, Romania, Netherlands, Poland, United States, Canada, Singapore or South Korea to get the lowest latency from your target audience to your resource. All servers are connected to the World main Internet channels and have high-speed channels to North America and European countries.
NVIDIA NVLink in A100 delivers 2x higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/sec), unleashing the highest application performance possible on a single server. NVLink is available in A100 SXM GPUs via HGX A100 server boards and in PCIe GPUs via an NVLink Bridge for up to 2 GPUs.
Our tech support team is available to you 24/7. Write your question, call, or contact us in chat with any question you may have and we will help you. Each client gets Basic server management, but if it’s not enough — we are always ready to help out with more complicated tasks and round-the-clock monitoring available in our Managed packages.
With up to 80 gigabytes of HBM2e, A100 delivers the world’s fastest GPU memory bandwidth of over 2TB/s, as well as a dynamic random-access memory (DRAM) utilization efficiency of 95%. A100 delivers 1.7X higher memory bandwidth over the previous generation.
Whether using MIG to partition an A100 GPU into smaller instances or NVLink to connect multiple GPUs to speed large-scale workloads, A100 can readily handle different-sized acceleration needs, from the smallest job to the biggest multi-node workload. A100’s versatility means IT managers can maximize the utility of every GPU in their data center, around the clock.
AI networks have millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros, making the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2X higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.
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The above software is selected during the formation of the rental order for the dedicated server. At the end of the installation and activation you will get access to the server to your email, with the operating system already installed on it.
If this software does not suit you, you can install any proprietary software, using the help of our administrators, or independently through your personal cabinet or IP-KVM / iDRAC access.
Powerful Servers with GPU for Artificial intelligence and Machine Learning projects from Unihost
A dedicated server is one of the most powerful hosting options available. A dedicated server means it is exclusively for you, so you don’t have to share your dedicated resources with anyone else.
Linux server – via an encrypted SSH connection.
Server with Windows OS – via RDP.
Full list is available in shopping cart.
By default, we offer a dozen Linux distributions, Windows Server, several dedicated control panels and some other software. You can pick it either in the cart during the purchase or in the Unihost Client Area. You can also install any software you want, except for any that may harm the server itself or other Unihost servers.
The best budget GPU servers for deep learning is the NVIDIA Quadro RTX A4000/A5000 server hosting. Both have a good balance between cost and performance. It is best suited for small projects in deep learning and AI.
When choosing a GPU server for deep learning, you need to consider the performance, memory, and budget. A good starting GPU is the NVIDIA Tesla V100, which has a peak single-precision (FP32) throughput of 14 teraflops and comes with 16 GB of HBM memory.
For a budget option, the best GPU is the NVIDIA Quadro RTX 4000, which has a good balance between cost and performance. It is best suited for small projects in deep learning and AI.
Bare metal servers with GPU will provide you with an improved application and data performance while maintaining high-level security. When there is no virtualization, there is no overhead for a hypervisor, so the performance benefits. Most virtual environments and cloud solutions come with security risks.
DBM GPU Servers for deep learning are all bare metal servers, so we have the best GPU dedicated server for AI.
A GPU is best for neural networks because it has tensor cores on board. Tensor cores speed up the matrix calculations needed for neural networks. Also, the large amount of fast memory in a GPU is important for neural networks. The decisive factor for neural networks is the parallel computation, which GPUs provide.
You can reboot it from the Client Area. While there, you can also check the server’s stats and reinstall the OS. If for whatever reason you can’t do this, contact the Unihost support.
No. Unihost dedicated servers are located in secure facilities and we cannot grant free access to the servers due to the possible risks. Only people who have direct access to the servers are our certified employees tasked with maintenance, and even their access level depends on the tasks at hand.
All our hardware is routinely tested. If any component fails, we will replace it with an identical one, covering all bills.
All our data centers correspond to Tier 3 or Tier 4.
Depending on the server configuration:
Standard configuration – 1 to 5 business days.
Non-standard – from 5 to 15 working days
We are working only on a prepaid basis and the minimum server order period is 1 month. We also offer payment for 3, 6, 9 and 12 months. If you need a server with a different billing cycle (for example, 2 or 5 months) please contact the sales department, and we will issue a new invoice.
There are no limitations. You can use the server for any number of websites, e-mails, domains etc. We provide complete access to the server at the root level.
Invoices on the service renewal are issued automatically with an email notification. Invoices are issued based on the billing cycle.
Billing cycle – Date of the invoice issue
You are able to add funds to a prepaid account in Personal Account . In this case, the funds from the prepaid account will be automatically applied to all newly created service prolongation invoices.
Please contact our sales team in order to change the billing cycle.
Unihost tech support:
Check the Server management page for more details.
We answer in chat in 30 seconds or less. The review of your issue may take up to 20 minutes, depending on the severity of the problem and the number of issues our team is solving at the moment. Issues from customers with Managed package are given priority in such cases.
Our technical support team can help you manage your project and move it to Unihost dedicated server. Contact us to find out more.
Yes, we guarantee 99.9% uptime. For more details, look at the Service Level Agreement .
Server monitoring is not included in the Basic package. Monitoring is available within the package Managed PRO .
Under Basic administration package includes only OS installation and configuration of basic Linux OS packages. If you run Windows, you’ll have to set it up on your own. The Managed and Managed PRO packages include full customization of any OS. See work list for details.
We do not review any information on the customers’ servers unless it is necessary to solve a support ticket. For more information, check out the Unihost Privacy Policy.
Yes, of course. We do not limit any data transfer and offer you a root-level access to the server.
We allow usage of OpenVPN and torrent on the Unihost servers. If you still have doubts, please contact us in chat.
We do not allow:
phishing websites;
Warez, backdoor, crack and other websites that break the Unihost Terms of Service.
Yes, as long as you do not distribute or advertise adult on the child-, zoo- and rape subjects, as well as content that you do not have rights for. If your server is located in Germany, you will also have to block access to the server for all German IPs, preferably — using iptables.
We use professional DDoS protection, so we do not worry much about DDoS. If your business is constantly attacked by the competition, we can provide you with additional protection.
We give you 12 hours to solve the issue that leads to the abuse. If you get more than 3 abuses of the same kind, or if you refuse to solve the issue, your account and all services will be blocked.
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