2x Intel Xeon Platinum 8480+ 8x NVIDIA [...], $ 20,561.00/mo.


2x Intel Xeon Platinum 8480+ 8x NVIDIA H100 - PID 1236 Sines has been added on Aug 2, 2026
gpuyard.com
GPUYard
2081 Harrodsburg Road
Lexington , KY 40504
US
💪 CPU/Cores :2x Intel Xeon Platinum 8480+ 2.00 GHz 112Cores 224Threads
🔋 RAM :2000000 MB
🔌 Hosted domains :unlimited
🆓 free domains :0
📌 Dedicated IPs :1
💳 Payment Methods :Credit / Debit / Prepaid CardsWire TransferBitcoin
🔧 Category :Game HostingStreamingSelf ManagedDDoS Protection
✍️ Support Options :EmailHelp DeskPhone / Toll-FreeLive ChatAvailable 24/7
🌏 Server Locations :Portugal
Targeting :US
🚀 Uptime :99.9 %
screenshot of 2x Intel Xeon Platinum 8480+ 8x NVIDIA H100 - PID 1236 Sines from gpuyard.com

See also initial 2x Intel Xeon Platinum 8480+ 8x NVIDIA H100 - PID 1236 Sines plan location on their website!


*📜 Plan description

The Sines configuration is a top-tier eight-GPU system built with two Intel Xeon Platinum 8480+ processors running at 2.00 GHz and supplying a combined 112 cores and 224 threads. It contains eight NVIDIA H100 accelerators, 2TB of system memory and two 1.92TB NVMe drives, for 3.84TB of raw installed NVMe storage before RAID or filesystem overhead. Networking is delivered through a 200Gbps interface with 10TB of included monthly transfer. This architecture is intended for very large artificial-intelligence training jobs, distributed deep-learning workloads, large language model development, high-performance computing, scientific simulation and dense multi-GPU inference. Eight H100 accelerators allow frameworks to use multi-GPU parallelism, while the dual Platinum CPU platform and 2TB memory capacity support large input pipelines, preprocessing, caching and CPU-intensive coordination. The 200Gbps connection is suited to rapid dataset ingestion and movement between high-performance systems, although the 10TB monthly allowance should be considered for transfer-heavy projects. The server is physically located in Sines, Portugal, and the monthly base price is USD 20,561.

This is a physical bare-metal GPU server with exclusive access to the processor, graphics accelerator, memory and storage, so workloads do not compete with other tenants for shared resources and do not incur the performance overhead of a virtualized GPU instance. Full root access is available for Linux and Administrator access is available for Windows, allowing custom operating-system images, drivers, CUDA toolkits, containers, virtual machines, databases and application stacks. The platform is suitable for artificial-intelligence training and inference, deep learning, large language model workloads, data analytics, scientific simulation, 3D rendering, animation, video transcoding, virtual workstations, game development and high-density streaming. TensorFlow, PyTorch, CUDA, cuDNN, Keras and NVIDIA Container Toolkit can be preinstalled when requested, while customers retain control over later updates and configuration.
Servers operate in enterprise data-center facilities with redundant power, advanced cooling, continuous infrastructure monitoring and a 99.9 percent server-uptime SLA. Network protection includes automated mitigation with more than 250Gbps of DDoS capacity. Monthly billing keeps costs predictable, and fixed-transfer or unmetered plans avoid usage-based egress surprises within the included allowance. One IPv4 address is included by default, with additional addresses available when technical justification is accepted. Hardware and bandwidth can be expanded as workloads grow, and deployment is designed to provide a ready-to-use dedicated environment without long-term resource sharing.
Technical assistance is available 24 hours a day, 7 days a week through live chat, support tickets, phone and email. Payments can be made with major credit cards, wire transfer, Bitcoin, USDT and other supported cryptocurrencies. Service fees are generally non-refundable except for qualifying SLA credits or a proven billing discrepancy, so the hardware, location, operating system and transfer allowance should be confirmed before ordering.

📄 Editorial Review

GPUYard is a United States-based dedicated hosting and high-performance computing provider operating since 2003. Headquartered in Lexington, Kentucky, the company specializes in bare-metal GPU servers, conventional dedicated servers, DDoS-protected infrastructure, cPanel hosting, BGP sessions, BYOIP, colocation, IP transit, and managed server services.

GPUYard is considerably different from a conventional shared-hosting provider. Its infrastructure is intended primarily for artificial intelligence, machine learning, rendering, scientific computing, virtual workstations, game hosting, video processing, business applications, and other workloads that require dedicated processing resources.

The company has developed a substantial international footprint with more than 250 server locations, over 150 bandwidth relationships, and more than 1 Tbps of public network capacity. Its operating statistics include over 10,000 customers and more than 25,000 deployed servers. The business remains privately held and employs approximately 11–50 people.

The principal service is dedicated GPU hosting. Each server is reserved for one customer, so the processor, memory, storage, and graphics accelerators are not shared through a public-cloud hypervisor. Full root or administrator access allows complete control over the operating system, NVIDIA or AMD drivers, CUDA environment, software stack, containers, databases, and security settings.

The GPU range covers older economical cards, modern consumer hardware, professional workstation accelerators, and enterprise data-center GPUs. Available models include NVIDIA GeForce RTX 2060, RTX 3060, RTX 4060, RTX 4090, and RTX 5090; Quadro and RTX A4000, A5000, and A6000 cards; Tesla K40, K80, P100, and T4 accelerators; NVIDIA A30, A40, A100, H100, H200, L4, and L40S; and selected AMD Radeon Pro and Instinct cards.

This wide hardware selection supports several customer profiles. Older Quadro and Tesla servers remain practical for validated CUDA applications, Android emulation, remote desktops, video encoding, CAD software, and development environments. RTX 4090 and RTX 5090 servers provide strong performance for generative AI, model inference, rendering, image generation, and smaller training projects. A100, H100, H200, and multi-GPU systems are intended for large language models, scientific research, distributed training, and enterprise AI platforms.

Server configurations range from single-GPU systems to high-density machines with two, four, six, or eight accelerators. The largest platforms can include multiple enterprise processors, as much as 2 TB of RAM, large NVMe arrays, and network interfaces between 25 Gbps and 100 Gbps. More economical servers generally include 32–256 GB of RAM, SSD or NVMe storage, and connections between 1 Gbps and 10 Gbps.

GPUYard also provides CPU-only dedicated servers for customers who do not require graphics acceleration. Hardware choices include AMD Ryzen, AMD EPYC, Intel Xeon E-series, Xeon Silver, Xeon Gold, and dual-processor systems. Larger deployments can be equipped with up to 1 TB of memory, numerous storage drives, private networking, custom routing, BGP, and Bring Your Own IP support.

The DDoS-protected server range is suitable for game servers, streaming platforms, financial applications, public APIs, communication services, and other systems exposed to network attacks. Protection levels vary by server and location. Standard GPU configurations may include automated mitigation beginning around 250 Gbps, while specialized systems use different filtering capacities according to the network and service tier.

The protected catalog also includes high-frequency Ryzen and Xeon servers without GPUs. These machines are appropriate for latency-sensitive applications, multiplayer gaming, databases, websites, voice systems, and other workloads that benefit from strong single-core performance.

BGP Session Hosting is available for organizations that operate their own autonomous system and IP address space. The service supports eBGP, IPv4 and IPv6 routes, route filtering, RPKI and IRR validation, multihoming, traffic engineering, and BYOIP. Customers must control a valid ASN and properly registered prefixes, and a Letter of Authorization is required before routes can be announced.

The cPanel dedicated server range combines bare-metal hardware with cPanel and WHM. Production systems use AMD EPYC or Intel Xeon processors, ECC memory, enterprise NVMe storage, and RAID 1 or RAID 10. Entry-level deployments generally start with 32 GB of RAM, while database-heavy websites, reseller platforms, and busy online stores benefit from 64 GB or more.

Storage configurations can scale to approximately 16 TB of NVMe capacity. The environment supports AlmaLinux, Rocky Linux, Apache, NGINX reverse proxy configurations, LiteSpeed, PHP, MySQL, Node.js, Python, Ruby, email hosting, reseller accounts, DNS administration, SSL management, and account-level resource controls.

Optional components include CloudLinux, Imunify360, LiteSpeed, JetBackup, additional backup storage, and managed administration. Free cPanel-to-cPanel migration covers websites, databases, mailboxes, DNS records, account settings, and SSL certificates. DNS changes can be coordinated to reduce interruption during the migration.

Customers retain root SSH access even when managed assistance is included. This provides more flexibility than a normal shared or reseller hosting account, although it also means that server security and administration must be handled carefully.

Standard GPU and CPU dedicated servers are primarily unmanaged. GPUYard maintains the physical hardware, electricity, cooling, and external network, while customers are responsible for the operating system, applications, drivers, updates, databases, and backups. Managed support can be added for operating-system maintenance, monitoring, security work, software installation, troubleshooting, and performance optimization.

TensorFlow, PyTorch, CUDA, cuDNN, Keras, Docker, and NVIDIA Container Toolkit environments can be installed during deployment. This can substantially reduce setup time for AI developers who need a functional platform rather than an empty operating-system installation.

Colocation and IP transit are also available. Colocation can include rack or cabinet space, electricity, network connections, and IP allocation. These services are generally customized according to equipment dimensions, power requirements, bandwidth, location, and support needs.

The website uses a modern and responsive design that functions properly on desktop computers, tablets, and mobile devices. Its principal language is English, which is appropriate for a US company serving an international technical market.

The customer portal supports a considerably larger language selection, including Arabic, Azerbaijani, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Persian, French, German, Hebrew, Hungarian, Italian, Macedonian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian.

Prices are primarily displayed in US dollars. The extensive combination of locations, processors, GPUs, memory capacities, storage options, protection levels, and bandwidth plans can make direct comparison time-consuming. Product filters help narrow the selection by location, hardware, memory, storage, connectivity, and monthly price.

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