GPU Dedicated Servers

GPU Dedicated Servers for AI workflows, ML and other complex mathematical calculations located in Ashburn, New York, Miami, Los Angeles and many other edge data centers across the U.S., Europe and Asia. Get a Semi-Managed or Managed AI Accelerated Server and GPU Server with a network interface connection port of 1, 10, 20, 30, or 100 Gbps. We enable hosting AI projects with unmetered bandwidth, unlimited data transfer and free infrastructure technical support. Host your your AI apps on the edge and deliver content and technology services lightning fast with less than 2 ms of latency to the local market. All of HC's AI-suitable GPU hosting services come with free infrastructure technical support. Click on the 'Configure' button to select an operating system (OS), cloud computing platform, bandwidth quota, IP settings, and control panel to create a customized application hosting environment.
Custom New York Dedicated Server

1x CPU + GPU

Up to 1024 GB RAM & 31 TB SSD
Choose specific GPU
Up to 20 CPU Cores / 40 Threads
Up to 100 Gbps bandwidth
Up to 31 TB SSD SSD storage
from $329/mo*
Configure
Custom New York Dedicated Server

2x CPU + GPU

Up to 1024 GB RAM & 31 TB SSD
Choose specific GPU
Up to 40 CPU Cores / 80 Threads
Up to 100 Gbps bandwidth
Up to 31 TB SSD SSD storage
from $349/mo*
Configure
Nvidia T1000 8GB, Xeon E5-2650Lv4

14 CPU Cores

64 GB RAM, 1.94 GB SSD
Nvidia T1000 8GB
Intel Xeon E5-2650Lv4
14 Cores, 28 Threads, 1.7 GHz
250 Mbps Bandwidth / 1 Gbps Port
$169/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v2

12 CPU Cores

64 GB RAM, 2x 960 GB SSD
Nvidia Tesla P4 8GB
Intel Xeon E5-2695v2
12 Cores / 24 Threads, 2.40 GHz
250 Mbps Bandwidth / 1 Gbps Port
$179/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v2

14 CPU Cores

128 GB RAM, 2x 960 GB SSD
Nvidia Tesla P4 8GB
Intel Xeon E5-2650Lv4
14 Cores / 28 Threads, 1.70 GHz
250 Mbps Bandwidth / 1 Gbps Port
$189/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v4

18 CPU Cores

128 GB RAM, 2x 960 GB SSD
Nvidia Tesla P4 8GB
Intel Xeon E5-2695v4
18 Cores / 36 Threads, 2.30 GHz
250 Mbps Bandwidth / 1 Gbps Port
$199/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v4

12 CPU Cores

32 GB RAM, 240 GB SSD
Nvidia GTX 1080 Ti 3584 CUDA Cores
2x Intel Xeon E5-2620v3
12 Cores / 24 Threads, 2.40 GHz
1 Gbps Bandwidth (Guaranteed)
$369/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v4

8 CPU Cores

64 GB RAM, 2x 240 GB SSD
Nvidia GTX 1080 Ti 3584 CUDA Cores
Intel Xeon Silver 4110
8 Cores / 16 Threads, 2.10 GHz
1 Gbps Bandwidth (Guaranteed)
$339/mo*
Configure
Nvidia Tesla P4 8GB, Intel Xeon E5-2695v4

28 CPU Cores

32 GB RAM, 240 GB SSD
Nvidia GTX 1080 Ti 3584 CUDA Cores
2x Intel Xeon E5-2650Lv4
28 Cores / 56 Threads, 2.40 GHz
1 Gbps Bandwidth (Guaranteed)
$399/mo*
Configure
* The price is on a 12-month term. To change the term and configure the service, click the button "Configure".

Customizable Semi-Managed GPU Dedicated Servers

All GPU Dedicated Servers and AI Accelerated systems are Semi-Managed. Our administrators install your GPU Dedicated Server, reinstall the OS per request, and help server owners troubleshoot in case of any operating system, networking, or software configuration issues. Use custom IPv4 and IPv6 network settings, and scale your bandwidth between 1 Gbps and 10 Gbps. Install CentOS, AlmaLinux, Rocky Linux, Debian, FreeBSD, Fedora, or any other Linux Server OS distribution. Windows Server editions 2019 and 2022 are also available on the Edge Server configuration page. Those who need a graphical dashboard (GUI) to manage their server can choose CentOS Web Panel (CWP), Froxlor, Vesta, another open-source control panel, or cPanel or DirectAdmin. To anyone who wants to use a Linux-based Cloud PC, we recommend Peppermint OS, which is based on the Debian/Devuan repositories.

Frequently Asked Questions

What exactly is a GPU dedicated server?
A GPU dedicated server is a server appliance that has one or more Graphics Processing Units (GPUs) installed. The original purpose of the GPUs is to accelerate the rendering of 3D graphics and video in computer systems. They handle the complex mathematical calculations required to create visuals. This makes them an essential component in every computing system that provides gaming services, completes creative tasks like video editing, virtual reality (VR), and augmented reality (AR).

Other very important use cases of the GPU based servers are various scientific simulations, engineering computations, machine learning models, AI inference tasks, accelerating big data queries, real-time data visualization, hashing calculations needed to secure blockchains, MRI/CT scan image reconstruction, genomics and bioinformatics, risk modeling, algorithmic trading, real-time sensor data processing, etc.

They are are widely used in data centers and edge servers for AI workloads.
Can I install multiple GPUs in one dedicated server?
Yes, a server chassis can hold between two and ten graphics processing units (GPUs). A 2U form factor server chassis can handle one to four GPUs. A 4U server chassis can support up to 10 GPUs.
What distinguishes Cloud from Bare Metal GPU Servers?
Bare Metal GPU Servers (GPU-powered dedicated server appliances) provide their users with full control over the physical infrastructure and guarantee the computing performance. The Bare Metal GPU Servers are not delivered under complex computing infrastructure delivery models, used by the large hyperscale clouds. So there are no hidden per-hour costs or usage limits. Users of GPU dedicated servers available on HostColor.com pay a flat monthly service fee, and have full control over both over the technology and billing processes.
Which GPUs are available on HC dedicated servers?
We offer instantly delivered dedicated servers (up to 1 hour server delivery) with Nvidia T1000 8GB, Nvidia Tesla P4 8GB, Nvidia RTX 3070, 3080, 3090 and GeForce RTX 5080 and 5090 series GPUs, GeForce RTX 4090D, Nvidia Quadro RTX A4000, A5000 and A6000 GPU series, Nvidia Quadro 5000, 6000 and 8000, Quadro RTX 4000, and Nvidia A40, A100 series GPUs.
What CPUs and RAM are used with the GPUs?
HostColor's GPU-enabled dedicated servers are equipped with high-performance CPUs and scalable system memory. The most used CPUs on GPU-powered dedicated servers are AMD EPYC 7502, 7452, 7662, 7702, and 7742 processors, AMD EPYC 7443P, AMD EPYC 7543 and 7543P AMD EPYC 9254, AMD EPYC 9274F, AMD EPYC 9275F, AMD EPYC 9355P, 9374F, 9474F, 9575F, 9654 & 9354P, and 9754 CPUs.

The memory (RAM) options, start at 128 GB and are expandable up to 2 TB RAM, depending on the server model.

Our servers offer optimized CPU-to-GPU ratios, ensuring that workloads such as AI training, rendering, big data run smoothly without resource contention.
Do HC GPU servers support virtualization and GPU passthrough?
Yes. GPU servers can be virtualized with VMware, Proxmox, or KVM, enabling GPU passthrough to multiple virtual machines. This allows resource sharing across teams or projects.
What is the Hailo-8 AI processor?
Hailo-8 AI is a high-performance artificial intelligence accelerator designed for use in edge server appliances. The Hailo-8 AI Accelerator integrates with processors like Raspberry Pi, Intel, and AMD to handle artificial intelligence tasks like object detection and video analytics for applications in autonomous vehicles, smart cities, and various industrial automation workflows. Servers that use Hailo-8 AI offer real-time neural network inference at high speeds and are used for hosting industrial-grade camera devices and robotic systems.
What is Google Coral (Google Coral)?
Coral (also known as Google Coral) is a hardware toolkit designed to support the development and deployment of machine learning applications at the "edge." Coral operates locally on edge-dedicated server appliances, eliminating the need for major cloud service application networks. At the core of the toolkit is the Google Edge TPU, a custom-built ASIC designed for high-speed, low-power machine learning (ML) inference using TensorFlow Lite models. Coral offers a variety range of server products, USB accelerators and single-board server appliances. When used on servers, Coral's products enable developers to bring powerful local AI capabilities to embedded systems and various applications.
Can I have a dedicated GPU cloud infrastructure?
You can use your preferred cloud computing virtualization technology to create and deploy a dedicated GPU cloud infrastructure on a single physical server or cluster of servers. If you want to create a cluster of two GPU-powered dedicated servers, they can be directly interconnected using 1GE or 10GE NIC cards. If you need HostColor's help to create a GPU-powered cloud computing architecture, we can help you design, deploy and manage it as needed.
Can I Have Business Continuity GPU-Powered Infrastructure?
Yes, any organization can use two or more physical GPU-powered bare metal servers to deploy a customized Business Continuity scenario. The term "Business Continuity" describes an active, fully operational IT infrastructure model that enables an organization to maintain its technology operations and workflow with virtually no interruption in the event of a failure or outage of its primary technology infrastructure.
Does HC provide GPU dedicated servers with AMD CPUs?
Yes, we provide GPU Dedicated Servers with a wide choice of hardware configurations with various AMD Ryzen and AMD EPYC processors. You can select the service location and fully customize the GPU Server, starting with the edge location, CPU, RAM, memory type and capacity, bandwidth, port, and data transfer quota.
How much does a GPU dedicated server cost?
The entry-level, Semi Managed GPU dedicated server with a Nvidia T1000 8GB, an included operating system and customer support starts at around $160 per month. For example, at that price, customers can rent a server with an Intel Xeon Processor, 4 to 8 CPU Cores, 16 GB - 64 GB of RAM, and one or two storage drives. To ensure fast data processing, it is recommended that the storage drive be an SSD or NVMe drive.

HostColor recommends using GPU servers with two or more storage drives that can be configured with a Redundant Array of Independent Disks (RAID) types 0 or 1.

Another important feature is finding a GPU dedicated server hosting service with unmetered bandwidth and unlimited data transfer. Why is this so important? Because if the server is provisioned with metered data transfer, measured in terabytes (TB) per month, and the installed applications reach the data transfer quota, the internet connection will be suspended or severely restricted, or the server user will incur overage fees. To avoid these charges, server owners should avoid hyperscale cloud providers with perplexing bandwidth and data transfer usage and billing models that charge customers for each gigabyte of incoming or outgoing internet traffic.

HostColor's solution to prevent overcharging server owners is simple: to provide GPU dedicated servers with internet connection ports ranging from 1 Gbps to 100 Gbps and unmetered bandwidth rates beginning at 250 Mbps. With these servers, users are not be charged for overage data transfer.
Are there GPU Dedicated Servers with Unlimited Bandwidth?
Yes, but since nothing tangible is unlimited, we need to specify what we mean by "unlimited bandwidth". If by "GPU dedicated server with unlimited bandwidth", we mean a GPU server with no preset limit quota for the transmitted incoming and outgoing Internet traffic and without charges for overage data transfers, then HostColor offers bare metal GPU servers with unlimited bandwidth up to the size of the physical network connection.

There are two models of delivering network services and internet traffic on the cloud and dedicated servers - one measured by the allocated "Bandwidth" quota (in Mbps or Gbps), the other measured by the transmitted "Data Transfer" (in megabytes or terabytes).

"Bandwidth" describes the overall data volume (in Mbps or Gbps) that can be transferred usually in a period of 30 days. "Bandwidth" is also a term used to describe the size of the internet connection port - for example, 1 Gbps, 10 Gbps, 20 Gbps, etc.

"Data Transfer" is the monthly amount of data in terabytes (TB), allowed to be transferred over your internet port.
What security is included in my GPU dedicated server ?
Providers of GPU Server infrastructure offer the following levels of security with their dedicated hosting services:

1. Physical Environment Security
Physical environment security refers to all physical aspects of the data center facility used to host GPU servers. This includes the resilience against natural disasters, the physical design of the data center and the way the server rooms and cabinets are organized, as well as power redundancy, Internet network redundancy, and overall business continuity.

2. Network Security
Network security is part of the overall data center communications architecture. It includes the redundancy of fiber connectivity routes and the wide choice of ISPs and interconnection options.

3. Physical Server Security
This can also be referred to as "Bare Metal Server Security". It refers to the specific hardware components and configurations of the GPU server that increase its operational availability. These include the number of power supplies (PSUs) used, the number and capacity of network interface cards (NICs), the number and specification of hard drives used (SATA, SAS, SSD, NVMe, etc.), the use of RAID controllers, the Intelligent Platform Management Interface (IPMI), also called ILO and iDrac by server vendors) for remote network access to the server, etc.

As a provider of GPU dedicated servers, HC automatically covers the highest possible industry standards regarding "Physical Environment Security" and "Network Security". The "Physical Server Security" is a customizable element of the dedicated hosting server, which is a choice of the user of the physical server (i.e. the customer).

Most of our GPU dedicated servers include the following "Physical Server Security" by default:
  • Redundant Power Supplies (PSUs)
  • At least 2 x 1 Gbps physical Network Interface Cards (NICs)
  • Intelligent Platform Management Interface (IPMI) and IPMI capabilities, except for the Edge servers, which are shipped with SSH management access only and are not recoverable in the event of an operating system (OS) failure that renders the server inoperable
Is my GPU Server protected against DDoS attacks?
Yes. HostColor's DDoS-protected GPU dedicated servers and cloud infrastructure minimize the risk of service unavailability and virtually eliminate the risk of you incurring data transfer costs as a result of artificial, bot-generated traffic to your server instances.

When you use our GPU servers, your applications run behind sophisticated DDoS protection firewalls, maximizing application availability. Our enterprise-grade, DDoS-protected networks safeguard your IT infrastructure from unexpected network downtime, preventing loss of business and revenue. Our DDoS-protected network services filter out malicious traffic and ensure that legitimate traffic requests reach your servers and applications. Specifically, our DDoS protection includes the following capabilities:
  • Real-time mitigation of malicious attacks
  • Human-generated traffic that reaches your dedicated servers or cloud instances
  • Native protection against network attacks of any size
  • No additional fees or charges for DoS and DDoS protected servers and infrastructure
  • No fees for bot-generated and malicious traffic on all unmetered bare-metal dedicated servers and dedicated clouds
  • No increased latency and long round-trip delays in application delivery in the event of a network attack
  • All IPv4 and IPv6 settings are protected from DDoS attacks
In which data centers can I have a GPU server?
HostColor.com delivers GPU dedicated hosting services from over 100 data centers worldwide. In the U.S. alone, we use 80+ edge data centers. Some of the most used US data centers by our clients are:
  • CoreSite VA1: 12100 Sunrise Valley Dr, Reston, VA 20191, USA)
  • Cyber WURX: 55 Marietta Street 16th Floor, Atlanta, GA, 30303
  • 365 Data Centers: 427 S La Salle Street, Chicago, IL, 60605
  • CoreSite CH2: 1432 S Clinton St, Chicago, IL 60607
  • DataBank: 400 S Akard St, Dallas, TX 75202
  • Flexential: 1500 Champa St, Denver, CO, 80202
  • Digital Realty: 12061 North Fwy, Houston, TX 77090
  • DataBank: 624 S Grand Ave, Los Angeles, CA, 90017
  • CoreSite LA 2: 900 N Alameda St, Los Angeles, CA 90012
  • DataBank: 36 NE 2nd St, Miami, FL, 33132
  • Verizon: 250 S Marquette Ave, Minneapolis, MN 55401
  • Telehouse: 7 Teleport Dr, Staten Island, NY 10311
  • DataBank: 165 Halsey St, Newark, NJ, 07102
  • Telehouse: 25 Broadway, New York, NY 10004
  • Coresite NY2: 2 Emerson LnSecaucus, NJ 07094
  • CoreSite SV7: 3020 Coronado, Santa Clara, CA, 95054
  • All Equinix facilities
HostColor also has infrastructure capacity and provides GPU-powered dedicated servers used for hosting various machine learning and AI workflows virtually in every US state.
What certifications do the GPU data centers used by HC have?
HostColor (HC) provides GPU dedicated servers and servers with AI accelerators from Tier 3 and Tier 4 data center facilities that meet the highest possible standards set by the IT telecommunications industry. The data centers we use have various certifications depending on the country in which they are located. In general, most of our U.S. data centers are ISO 27001, ISO 9001, ISO 14001, ISO 27001, and SSAE16 SOC I, SOC II, or SOC III certified. All are HIPAA compliant and PCI-DSS compliant. Our data centers in the European Union are also EN 50600 certified.
Do GPU-powered servers feature resource redundancy?
Not necessarily. The level of redundancy offered by a GPU dedicated server depends on the user's custom requirements. To ensure continuous operation, a GPU server appliance may be designed with multiple power supply units and processors. Servers may also use RAID (Redundant Array of Independent Disks) storage to create backup options. Other features may include the use of more than one network interface card (NIC).

Providers deliver GPU servers with the level of hardware redundancy chosen and customized by users, who have full control over it.
Is the GPU server hosting service resource scalable?
Yes, there are server motherboards that have multiple PCIe slots designed for using multiple graphics processing units (GPUs).

The other computing resources provided as part of a GPU hosting service, such as processing power (CPU), random access memory (RAM), storage capacity can be scaled up to the physical limits of the bare-bone server appliance.

The amount of data transferred, and the overall network bandwidth rate can be scaled up to the physical limits of the network interface cards (NICs) of the selected hardware configuration.

Depending on the selected physical server system, RAM can be upgraded to the maximum amount supported by the server motherboard. For some GPU servers, storage drives (HDD, SATA, SAS, SSD, or NVMe) can be upgraded without powering down the physical machine. Increasing network bandwidth quotas may require powering down the server and adding additional NIC cards.
How much GPU memory (VRAM) do I need for my workload?
The answer to this question depends on the use case served by the graphics processing units (GPUs). The average popular GPU cards used for gaming purposes used to have 8GB VRAM. However the rapidly evolving gaming industry increases the average VRAM requirement to 12GB and above, when it comes to high-end 1080p and 1440p gaming, and 16GB or more being ideal for 4K resolutions and future-proofing. Most other GPU server use cases such as scientific simulations, engineering computations, machine learning models, AI inference tasks, accelerating big data queries, hashing calculations, risk modeling, algorithmic trading, real-time sensor data processing, and others, require significantly more GPU RAM. The parameters vary but could easily go above 100 GB GPU VRAM just on one of a GPU-powered server part of a larger cluster system. The recommended VRAM is as follows:
  • Up to 24 GB VRAM: For small machine learning (ML) models, rendering, and inference.
  • 40 GB - 48 GB VRAM: For mid-sized models and datasets.
  • 80 GB+ VRAM: For training large language models (LLMs) and handling massive datasets.
    Can I upgrade the RAM on my GPU Server?
    GPU memory cannot be upgraded in the same way as traditional system RAM. VRAM is attached directly to the GPU board. Unlike the traditional RAM used in CPU-powered servers, which mounts in DIMM slots and can be swapped or expanded, GPU memory is integrated into the graphics card’s PCB and memory controller.

    There are two ways to increase the GPU RAM (VRAM) resources on your system:

    1. Install a GPU model that comes with more memory built-in (for example a 16 GB card instead of an 8 GB card).
    2. Add another graphics processing unit (GPU) card to the server, if the system and workload support it. This will effectively increase the total available VRAM pool. However, each GPU card only uses its own memory. VRAM cannot be stacked or combined across multiple GPUs.

    For example: two GPUs with 24 GB each still give 24 GB per GPU, not 48 GB accessible to a single task (with some exceptions related to niche multi-GPU workloads).
    Can I upgrade the storage capacity of my GPU server?
    This depends on the hardware configuration of your GPU dedicated server. If you need more storage, we suggest speaking with the HC team about leasing a server with spare HDD bays that can be upgraded with the storage of your choice.

    In general, all GPU servers provisioned with one storage drive — whether NVMe, SSD, or HDD — can be upgraded.
    Which Linux OS can I use on my GPU Server?
    Most HC's GPU Dedicated Servers can use any Linux OS distribution or a Windows OS. You can also install Proxmox VE, VMware ESXi, Linux Containers, or any other virtualization platform.
    Can I have a GPU dedicated cloud infrastructure?
    You can use your preferred cloud computing virtualization technology to create and deploy a GPU-powered dedicated cloud infrastructure on a single dedicated physical server or cluster of servers. If you want to create a cluster of two GPU dedicated servers, they can be directly interconnected using 1GE or 10GE NIC cards. If you need HostColor's help to create a cloud computing architecture, we can help you design, deploy and manage it as needed.
    How does HC assign IP addresses on my GPU server?
    Clients with GPU servers are assigned 1 usable IP address and can add more IPs at any time.

    Can I have a /24 IPv4 subnet on GPU my server?
    Yes, you can. We allow our customers to use up to one /24 IPv4 block (256 IP addresses) on a GPU-powered physical server, for compliant use only. Please note that the sending of bulk, unsolicited mail of any kind is not allowed on any of HostColor's networks.
    How does HostColor bill my GPU Server?
    Once payment is made, the billing month for your GPU-powered Semi Managed or Managed Dedicated Server starts from the moment we send you the login credentials. By default, all dedicated hosting services are set to month-to-month contracts to provide maximum flexibility.

    You can choose between month-to-month, 3-month, 6-month, and annual contracts. If you opt for an annual contract, you will receive a lower monthly service fee. However, you will need to prepay the full contract (all 12 service fees). Please note that your GPU Dedicated Server on a month-to-month contract must be canceled properly and terminated before we stop billing you. All dedicated GPU hosting services require a 30-day cancellation notice. In some cases, we may allow early cancellations. To qualify for an early cancellation, you must submit a cancellation request from your Account 5 business days before the beginning of the new billing cycle.
    Is HostColor an experienced and trustworthy provider?
    HostColor's (HC) core team has been managing servers and IT infrastructures since 2000. As an organization, Host Color LLC has over 25 years of experience in the hosting industry. To illustrate HostColor's experience, consider the following two facts:

    1. HostColor began hosting content management systems three years before WordPress was launched.

    2. HostColor had already been providing virtual server hosting services for 7 years when Amazon launched its Elastic Compute Cloud (EC2) as part of its AWS.

    HostColor's team members have extensive experience with major operating systems, virtualization technologies, Linux, Apache, MySQL, PHP, and hundreds of open-source applications at any stage of their development and business lifecycles. You can rely on HostColor to install and maintain a secure, productive, and cost-effective technology environment on your dedicated server.

    Why Use Our GPU Dedicated Servers?

    HostColor delivers GPU Dedicated Server Hosting and AI Accelerated servers, from data centers in Ashburn, Miami, Toronto, Phoenix, New York, and other U.S. and European data centers. Use our GPU server hosting plans for Gaming, Professional Visualization, Machine learning, Blockchain, Simulation, and other workflows. Please note that some of our GPU servers feature metered data transfer. This means that you need to calculate your monthly quotas for internet traffic to avoid additional charges for data transfer. HostColor can also set your GPU server on unmetered bandwidth, something that will save you thousands of dollars per month by allowing you to use a dedicated bandwidth quota that varies from 1 Gbps to 10 Gbps. There are some things to consider when you are customizing your cloud-ready, GPU Dedicated Server.:
    New York City Edge NOC

    GPU Dedicated Server Network

    Our NOCs deliver network services to the GPU dedicated servers' clients using U.S. Tier 1 networks like Lumen, Comcast, Deutsche Telekom, GTT, KDDI, NTT, Rogers, Verizon, Zayo, and many other major ISPs offering the lowest possible round trip delays (RTT) in the U.S. an all over the world.
    Premium SLA

    Dedicated Hosting w/ Premium SLA

    It is important for you to understand how HostColor's networking service works in the data centers where we offer GPU servers. Choose a certain data transfer quota in terabytes (TB) for metered data transfer or bandwidth commitment in Mbps. Many of our GPU dedicated servers feature metered data transfer on 1 Gbps or 10 Gbps internet bandwidth ports.
    High Bandwidth Dedicated Hosting

    Bandwidth or Data Transfer

    HC delivers GPU servers measured by the allocated "Bandwidth" quota (in Mbps or Gbps) and servers measured by the transmitted "Data Transfer" (in terabytes). Most of our GPU Dedicated Servers are measured by the transmitted "Data Transfer" (in terabytes). To avoid charges on additional data transfer consult with us about the possibility of using an allocated "Bandwidth" quota (in Mbps or Gbps).
    Terraform supported Edge Server

    HC's GPU Edge Servers support Terraform®

    Terraform is an open-source infrastructure tool that uses declarative configuration files to define API calls using a write, plan, and apply workflow process. You can use Terraform to provision and manage your IT infrastructure hosted on the GPU servers.
    Virtualization ready Dedicated Servers

    Cloud-ready GPU Servers

    Have you considered using any virtualization technology to create a cloud-based hosting environment? We design and deploy Kubernetes clusters, Linux Containers, Proxmox VE, and VMware ESXi-based virtualized infrastructures for our clients who need an GPU dedicated server or cloud infrastructure.
    Managed Hosting Services

    Managed GPU Dedicated Server

    We have been managing IT Hosting environments for almost two decades. Open Support Ticket to tell us more about your project. We will help you to secure your dedicated server.

    Stability | Connectivity | Commitment

    3 good reasons to get an GPU Server from HostColor.
    Tier 3 & Tier 4 Data Centers

    World Class Data Centers

    We use Tier3 or 4 class U.S. data centers.
    Premium Network

    Premium Network

    Quality, DDoS protected Internet network.
    IT Hosting Management

    IT Management

    Learn more about our Managed Hosting Services.