Hosthink Ollama GPU Server - GPU [...], $ 799.00/mo.


Ollama GPU Server - GPU Advanced has been added on Sep 21, 2026
hosthink.net
Hosthink
Seyrantepe Mah. Nato Çık. No: 2/2, Kağıthane
Istanbul , 34418
TR
☎ Phone +90 850 302 3025
📠 Fax +90 212 278 3060
🔌 Hosted domains :unlimited
🆓 free domains :0
📌 Dedicated IPs :0
💳 Payment Methods :Credit / Debit / Prepaid CardsPayPalAliPayWire TransferBitcoin
🔧 Category :BackupFully Managed
✍️ Support Options :EmailHelp DeskAvailable 24/7
⚑ Targeting :CA CN FR DE IT JP KR PT RU TR UK US
screenshot of Ollama GPU Server - GPU Advanced from hosthink.net

See also initial Ollama GPU Server - GPU Advanced plan location on their website!


*📜 Plan description

Ollama GPU Server - GPU Advanced is a $799/month dedicated AI tier. Its capacity class is High VRAM GPU and the intended workload is larger models. Ollama-oriented private model serving for teams that want local model inference and a managed infrastructure handoff. GPU inventory and final hardware sizing are confirmed before deployment, so no fixed CPU model, RAM amount, disk capacity, or accelerator model is assigned to this tier before the capacity check. The package includes private AI stack handoff and is designed to move to a larger GPU or multi-GPU configuration as model size, concurrency, or production demand increases.

Hosthink private AI servers are dedicated GPU-oriented environments for private inference, agents, model serving, vector workloads, internal copilots, RAG pipelines, coding or reasoning workloads, and AI experimentation without depending on a public AI runtime. The service uses a managed infrastructure baseline with Docker deployment, SSL, NVMe-backed persistent storage, isolated resources, secure access, managed onboarding, and an operational handoff. GPU inventory and the final CPU, memory, storage, and accelerator sizing are confirmed before deployment, so the monthly tier identifies the intended capacity class rather than a fixed hardware model. The customer keeps control of model choice, application configuration, credentials, users, and workflows while Hosthink handles the infrastructure and deployment layer. GPU, memory, CPU, storage, and workload capacity can be increased by moving to a larger configuration as requirements grow. Backup-ready storage and recovery planning are part of the managed baseline, while the exact backup behavior follows the active package and final service configuration. Private networking and secure network options are available for supported designs. These plans are billed monthly and are intended for dedicated private AI workloads; final accelerator inventory is checked before handoff. Written sales and support channels are available 24x7 through tickets and email. Payments are final and non-refundable except where mandatory law requires otherwise or Hosthink expressly agrees in writing.

📄 Editorial Review

Hosthink is an Istanbul-based hosting and infrastructure provider operating since 2010. The business was founded by Seref Cankaya (Şeref Onuralp Cankaya) and currently operates its services through Sembol Internet Hizmetleri ve Dış Tic. Ltd. Şti. in Türkiye. The company has grown from conventional hosting and dedicated servers into a broad infrastructure business covering VPS, cloud computing, GPU systems, colocation, networking and managed application services.

An earlier enterprise structure also included Hosthink Internet Services EOOD Ltd. in Bulgaria, registered under fiscal identification number 204167600. Together with its Istanbul operation, this gives Hosthink a relatively long operating history in both Turkish and European hosting markets.

The current service range is focused much more heavily on infrastructure than on conventional shared hosting. Its primary products include Dedicated Servers, VPS, Cloud Servers, GPU Servers, Colocation, Private AI Servers, AI & App Hosting, plus networking services around private connectivity, BGP, IP transit and CDN-assisted delivery.

Dedicated servers represent one of the broadest parts of the catalog. Hosthink maintains bare-metal availability across 71 locations on six continents, with systems based on Intel Xeon, AMD EPYC and AMD Ryzen processors. The selection ranges from entry-level and performance configurations to enterprise-class, GPU and high-bandwidth servers. Depending on the location, storage can include SATA, SSD or NVMe, while network connectivity ranges from 1 Gbps to 10 Gbps and, in selected facilities, 25 Gbps. Limited-transfer and unmetered bandwidth configurations are both available, together with custom RAID, memory upgrades, GPU options and dual-CPU systems.

The VPS range starts at $5/month and uses both KVM and OpenVZ virtualization. Istanbul and Zurich are among the main VPS locations, with 1 Gbps networking available. KVM provides the more flexible environment, including isolated kernels, Windows compatibility and custom ISO support, while OpenVZ is oriented toward lightweight Linux deployments. Available operating systems include Debian, Ubuntu, AlmaLinux, Rocky Linux and Fedora. Backups and snapshots can be added where supported, and baseline DDoS protection is included.

Cloud Servers also start at $5/month. These instances use KVM virtualization with NVMe storage, snapshots, private networking and optional block storage. Cloud availability extends to roughly 33 locations. Entry configurations can begin with one shared vCPU, 1 GB RAM, 10 GB storage and 0.5 TB transfer, while larger plans scale CPU, RAM, storage and transfer allowances considerably. Supported systems include Debian, Ubuntu, AlmaLinux, Rocky Linux, Fedora, FreeBSD, OpenBSD and openSUSE.

GPU infrastructure is aimed at AI inference, model fine-tuning, vector workloads, rendering and other accelerator-heavy applications. Dedicated GPU servers include hardware such as NVIDIA L40S and NVIDIA H100, while Private AI Server packages provide more structured GPU environments for companies that want private AI workloads rather than public cloud AI services.

Managed Private AI plans start at $199/month for GPU AI Server configurations and $249/month for Private LLM Servers. Larger configurations extend to approximately $499 or $999 per month for GPU AI Server packages and $599 or $1,299 per month for Private LLM environments, with final hardware depending on GPU inventory and deployment location.

Another interesting part of the catalog is AI & App Hosting, which combines managed Docker deployments, SSL, NVMe storage, isolated resources and direct application-panel access. Managed applications include Uptime Kuma from $7.99/month, OpenClaw from $9.99/month and n8n from $14.99/month. Managed AI Access can be added for $4.99/month where applicable, while Agentic Mail for outbound notifications and automated reports costs $2.99/month. These application environments can generally be provisioned within a few minutes after successful payment.

Colocation is available in selected locations for customers that prefer to own their hardware. Services include quarter racks, half racks, remote hands, private VLANs, cross-connects, blended bandwidth and BGP connectivity. Depending on the facility, 1 Gbps, 10 Gbps and 25 Gbps networking can be provided. Colocated equipment can also be integrated with Hosthink dedicated and cloud infrastructure in supported metro areas.

Hosthink is additionally developing Dedicated Mac Mini Hosting for Xcode, Flutter, React Native development, Safari testing and CI/CD workloads. The service remains in limited beta. An Apple M4 Mac Mini with 16 GB RAM and 256 GB storage starts at around $89/month during the beta period, while a 24 GB RAM and 512 GB storage model starts around $139/month. Regular pricing is planned from approximately $99/month.

The website is modern, responsive and organized around live infrastructure inventory rather than the limited-width design still seen at some older hosting companies. Hosthink also maintains extensive localization. English is fully supported, with additional website versions including Turkish, German, French, Spanish, Italian, Portuguese, Japanese, Chinese, Korean and Russian. Some translated areas still retain English interface elements, but the localization coverage is considerably broader than average for an independent infrastructure provider. Product pricing is primarily displayed in US dollars, while invoice currency can depend on the customer's billing configuration.

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