1 x AMD EPYC 9355, 32 Cores, 64 Threads, 3.55 GHz, 4.4 GHz turbo; 1 x NVIDIA RTX PRO 6000 Blackwell 96 GB GDDR7, 24064 CUDA core
🔋 RAM :
128000 MB
🔌 Hosted domains :
unlimited
🆓 free domains :
0
📌 Dedicated IPs :
1
💳 Payment Methods :
Credit / Debit / Prepaid CardsWire Transfer
🔨 Control Panel :
[In-house]
🔧 Category :
StreamingDDoS Protection
✍️ Support Options :
EmailPhone / Toll-FreeLive ChatAvailable 24/7
🌏 Server Locations :
ArgentinaAustraliaAustriaBelgiumBrazilBulgariaCanadaChileColombiaCroatiaCzech RepublicDenmarkFinlandFranceGermanyGreeceHong KongHungaryIrelandIsraelItalyJapanKoreaMalaysiaMexicoNetherlandsNew ZealandNigeriaNorwayPeruPolandPortugalRomaniaSingaporeSlovakiaSouth AfricaSpainSwedenSwitzerlandTurkeyUkraineUnited Arab EmiratesUnited KingdomUnited States
This dedicated GPU configuration uses 1 x NVIDIA RTX PRO 6000 Blackwell with 96 GB GDDR7 memory, 24064 CUDA cores, and 752 Tensor cores, combined with an AMD EPYC 9355 CPU. It is designed for professional GPU workloads where high VRAM capacity, modern tensor performance, and single-GPU flexibility are important. Suitable uses include AI model training and inference, large language model experimentation, computer vision, rendering, scientific compute, advanced media processing, and workstation-class remote GPU workloads. The CPU platform provides 32 cores and 64 threads at 3.55 GHz base frequency and 4.4 GHz turbo frequency. RAM options range from 128 GB to 512 GB. Storage can be configured with Samsung PM9A3 NVMe SSDs from 1.92 TB to 15.36 TB and 24 TB HDD options, making the server appropriate for workloads with large local datasets, model checkpoints, and media files.
DataPacket dedicated GPU servers combine bare metal access with NVIDIA or accelerator hardware for compute-heavy workloads. The GPU range targets AI training, machine learning inference, large language models, computer vision, natural language processing, multimodal AI, high-performance computing, video transcoding, live streaming, virtual reality, rendering, and other workloads that benefit from parallel processing. Servers use unshared physical resources rather than a shared virtualization layer, and the customer retains full administrative control of the machine. GPU configurations can be customized with additional GPU power, RAM, storage, and network options when a workload needs a non-standard build. Baseline configuration can be ordered with the lowest listed monthly price, and the general configurator supports 2 x 480 GB SSD storage as the entry storage option, with upgrades to 2 x 1.92 TB NVMe, 2 x 24 TB HDD, 2 x 3.84 TB NVMe, and 2 x 7.68 TB NVMe where available. RAM and storage can be adjusted during order, and custom-built GPU infrastructure is available for projects that need a different accelerator mix, more memory, larger local disks, or special network cards. The standard network model gives each server an unshared uplink, commonly 50 Gbps using 2 x 25GE, with higher bandwidth designs up to 200 Gbps available. The platform supports unmetered bandwidth plans and low-latency delivery, which is especially useful for video delivery, inference endpoints, live streaming, rendering farms, and globally distributed compute services. Linux and licensed systems can be installed, with Ubuntu, Debian, and CentOS available by default; automatic reinstallation, reboot, DDoS monitoring, and server operations are managed from the in-house client panel. One IPv4 address is included per server, IPv6 can be assigned on request, additional IPv4 space can be added, and customer-owned prefixes can be announced through BGP when the required ASN, prefix list, and LOA are supplied. Software RAID setup is available without charge, and hardware RAID can be added as a paid option when supported by the hardware. Server setup has no setup fee. Standard payment methods include credit card and wire transfer, and billing can be handled in USD, EUR, or GBP. List prices exclude VAT, and monthly plan funds are generally non-refundable unless an explicit exception or law applies.
DataPacket operates its GPU and dedicated server services on a global infrastructure footprint across 67 locations. The network has 290+ Tbps total upstream capacity, multiple private 400GE and 100GE backbone circuits, 16 transit providers, 300+ private peering interconnections, and direct access to many hard-to-reach local networks. Real-time routing monitoring helps traffic take the best available path, while private backbone connectivity improves inter-region performance between major points of presence. Built-in DDoS Shield is included with every server and can protect against volume-based attacks, L4 protocol attacks, TCP SYN floods, TCP ACK floods, GRE floods, and common amplification vectors. Mitigation is unmetered and can begin in under 10 seconds, with visibility through the client panel. The service includes a 99.99% monthly network and power uptime SLA and 24/7 support through email, live chat, and Slack. Support is handled by engineers, data center technicians, network specialists, and dedicated account managers, with private Slack channels available for fast communication. The infrastructure is suitable for production workloads that need fixed monthly bare metal costs, premium global routing, fast hardware deployment, private networking, custom configurations, and high-bandwidth delivery without the cost model of hyperscale public cloud services.
📄 Editorial Review
DataPacket is a high-performance dedicated server and network infrastructure provider operated by DataCamp Limited, with offices in London and Prague. The DataPacket brand has operated since 2014, and the business is associated with founder and CEO Zdenek Cendra. This is not a traditional shared hosting company and it is not aimed at small users looking for cheap cPanel hosting, domain registration, website builders, or entry-level WordPress packages.
Their real strength is dedicated infrastructure. DataPacket focuses on Dedicated Servers, GPU Servers, IP Transit, Enterprise Infrastructure, DDoS Protection, custom hardware deployments, private networking, BGP announcements, storage-heavy systems, and infrastructure for demanding workloads such as video streaming, gaming, VPN platforms, content delivery, AI / machine learning, SaaS / IaaS / PaaS, and Web3 / blockchain projects.
The dedicated server range is built around modern AMD EPYC processors, NVMe storage, DDR5 memory options, and unshared uplinks from 10 Gbps to 200 Gbps. These servers are unmanaged, so customers receive full administrative control and remain responsible for the operating system, applications, security hardening, backups, monitoring, and general server administration. For technical teams, this is a strong advantage. For beginners, it can be too advanced.
The GPU server line is suitable for AI, machine learning, rendering, video encoding, VR, and high-performance compute. Available configurations include NVIDIA L4 24GB, NVIDIA RTX PRO 6000 Blackwell 96GB, 8 × NVIDIA H200 NVL, and 8 × NVIDIA B200 HGX, with custom setups available for heavier projects. This is clearly enterprise-oriented GPU infrastructure rather than a low-cost experimental GPU VPS product.
The main reason to choose DataPacket is the network. Their platform covers 67 global locations on 6 continents and is backed by a 290+ Tbps network, private backbone, 16 transit providers, 300+ private network interconnections, and thousands of local ISP connections. This gives DataPacket a strong profile for bandwidth-heavy customers that need predictable throughput, optimized routing, low latency, and strong regional delivery.
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