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Recent Customer Reviews (26)
IgorE
Good for AIThere are also ready configurations for Ollama where drivers and CUDA or ROCm toolkits can be prepared in advance. This saves time because GPU driver versions, kernel modules and framework versions can otherwise become a significant part of the deployment process. Hostkey has published practical tests of the Radeon AI PRO R9700 rather than relying only on theoretical specifications. Their benchmark covered LLM inference, image generation, video generation and Blender. The card has 32 GB of memory, which gives it a useful advantage for models and workloads that exceed the 24 GB capacity found on many common workstation GPUs. At the same time I would still choose NVIDIA when the application depends heavily on CUDA specific libraries or highly optimized NVIDIA software. Hostkey dedicated GPU servers allow customers to install their own operating system, CUDA version, Docker, vLLM and other software, while the GPU remains dedicated to one customer rather than being shared through GPU virtualization.
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Serg
Provider for building a separate backup and object storage layerHostkey stands out to me as a provider that can be used not only for VPS hosting and dedicated servers but also for building a separate backup and object storage layer. This is useful when production data should not live on the same machine as the application. Hostkey provides S3 compatible object storage that works with standard tools such as AWS CLI, Rclone and boto3. Existing applications can therefore send backups, logs, media files and other unstructured data to the storage without requiring a proprietary client. The current Standard plan includes 250 GB of storage and 1 TB of outbound traffic. It also supports up to 100 buckets and up to 1500 command requests per IP address per second. This makes the service suitable not only for simple backups but also for applications that continuously write logs, images or generated files to S3 storage. For backup infrastructure I like the fact that the S3 service is designed for automated backup pipelines and offsite storage. A typical setup could keep the application and database on a VPS while nightly database dumps, configuration archives and user files are copied to a separate S3 bucket. This reduces the risk of losing both the production environment and its backup after one server failure.
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Kristian
Hostkey is worth looking at if the project is limited by memory rather than raw CPU powerHostkey is worth looking at if the project is limited by memory rather than raw CPU power. This is especially relevant for large Redis datasets, analytical applications, virtualization and databases where keeping more data in RAM can reduce constant access to storage. One technical advantage is the range of high memory dedicated servers. Hostkey currently offers configurations with hundreds of gigabytes of RAM, while the largest high memory systems can reach several terabytes. Their current high performance lineup includes AMD EPYC platforms with up to 4.6 TB of RAM and as many as 12 NVMe drives. For memory intensive workloads I would pay attention not only to total RAM capacity but also to the processor generation and memory subsystem. Hostkey has published its own VPS testing where newer AMD EPYC platforms with DDR5 showed higher memory throughput than older configurations. Their tests also demonstrated substantial differences in CPU performance even between VPS plans with the same number of virtual cores.
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LeoBikkin
Very usefulThe provider offers both Docker and Portainer as ready server applications, so it is possible to deploy a container environment without spending time on the initial installation. Portainer is the part I find most interesting from an infrastructure management perspective. It provides one interface for containers, images, networks, volumes and Docker Compose stacks. It can also connect to multiple Docker endpoints, which is convenient when an application is distributed across several servers. This gives small teams a practical middle ground between managing everything through the Docker command line and deploying a full Kubernetes cluster. Portainer supports Docker Standalone, Docker Swarm and Kubernetes, so the management layer can remain useful while the infrastructure becomes more complex.
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protRoman
Hostkey looks interesting for data science projectsHostkey looks interesting for data science projects where I need more control than a typical managed notebook service provides. Instead of paying only for a restricted development environment, it is possible to rent a full VPS or dedicated server and run JupyterLab with access to the underlying operating system. Hostkey offers JupyterLab as a ready application in its software marketplace. The environment includes notebooks, a terminal, file management and text editing in one browser interface. This is useful for Python development, scientific computing, data analysis and machine learning experiments. For heavier workloads there are configurations with GPU resources. One current JupyterLab configuration includes 16 CPU cores, an RTX 5090, 96 GB of RAM, 2 TB of storage and a 1 Gbps network connection. Hourly billing is available, which makes this type of server practical for experiments that do not need to run continuously.
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urginxandr
Good testing environmentHostkey also provides API server management. I connected the API to internal deployment scripts and automated common operations. A testing environment can be prepared, checked and removed without repeating every action manually. This is useful for Docker hosting, software testing and CI/CD workloads. The VPS instances provide root access and enough control for custom Linux configuration. I installed Ubuntu, Nginx, PostgreSQL, Redis, Docker and Prometheus. There were no shared hosting restrictions on system packages, firewall rules or background services. For workloads that require isolated hardware, Hostkey also offers dedicated server hosting. Moving a database and several workers to a bare metal server gave us more predictable CPU and storage performance. The applications no longer compete with unrelated virtual machines on the same host.
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NicK Tiler
Important serviceThe Invapi control panel and API make routine infrastructure work easier. Server status, network settings and other management operations can be integrated into internal scripts. This is useful when several environments must be configured in the same way. Before moving an important service, I recommend testing the assigned IP address with every external platform the project depends on. Some services evaluate hosting addresses by ASN reputation rather than only by geographic location. This check is sensible with any VPS provider. My overall Hostkey review is positive. Hostkey is suitable for VPS hosting, dedicated servers, Docker applications, databases, VPN gateways and business services that require flexible network configuration. The strongest points for me are root access, PTR management, IPv6 support, API control, DDoS protection and the ability to use custom network resources.
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Mikle Pens
Hostkey gives me the freedom to build a website hosting environmentHostkey gives me the freedom to build a website hosting environment without depending on the fixed rules of a standard control panel. KVM isolation and full root access allow precise configuration of the operating system, network filtering, service permissions and process limits. My stack uses Nginx as the reverse proxy, isolated application workers, PostgreSQL and Redis with defined memory ceilings. Each component runs under a separate system account with its own restart policy and resource limits. This structure makes troubleshooting clearer and prevents one overloaded process from consuming the entire server. NVMe storage is useful during database maintenance, cache rebuilding, log compression and deployments that involve many small files. I can also configure nftables, SSH key authentication, automatic certificate renewal, log retention and scheduled backups according to my own requirements. Hostkey is well suited to administrators who prefer direct control over every part of the web stack rather than a simplified hosting panel.
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Ilay
The VPS gave us enough freedom to run the websiteWe rented a VPS from Hostkey for a custom furniture website with an online room planner. Customers can select materials, change dimensions and see updated product previews before sending an order request. The old hosting plan struggled whenever several visitors used the planner at the same time. The VPS gave us enough freedom to run the website, preview generator and order database as separate services. Product images are created in the background, so customers can continue browsing while their design is being prepared. We also keep a second copy of the application for checking new materials and calculation rules before publishing them. Another useful advantage is the ability to control how processor power and memory are assigned to each part of the project. This helps us prevent the visual planner from affecting ordinary catalogue pages. As more products are added, we can expand the server resources without redesigning the whole infrastructure. Hostkey VPS has been a suitable choice for a website that combines a traditional catalogue with interactive tools and automated calculations.
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Simon
Hostkey VPS feels like a solid option for anyoneWhat stood out early was how smooth the setup process felt. I was able to deploy a clean server environment and get my applications running without spending half a day fighting configuration issues. For the booking site I moved from a shared hosting plan where the admin panel would lag during peak hours. After switching to Hostkey VPS the dashboard became noticeably more responsive even when multiple users were booking at the same time. Another practical benefit is how well the VPS handles multiple services on one machine. I run a database service, a backend API, and a small analytics tool on the same server. Instead of slowing each other down they stay stable even during traffic spikes. For example when a promotional email went out the booking site traffic increased sharply but the API response time stayed consistent.
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