GPU Servers Rental

Rent GPU dedicated servers ideal for Deep Learning, NLP, animation rendering and video transcoding tasks.

Dedicated vs. Virtualized

When you want to achieve the highest performance possible, virtualization just gets in the way. Besides the virtualization overhead, virtualized cloud instances especially suffers from slow I/O and you can't truly utilize the expensive GPUs. Rent a dedicated server instead and get the most out of powerful GPUs, while paying a fraction of what AWS/GCP/Azure would cost.

To compare Geforce, Quadro and Tesla series specs and Octanebench performance, check our GPU comparison list.

Looking for a cloud GPU server to use as a remote desktop? You can rent GPU servers with Windows 10 Pro and use Microsoft RDP.

Nvidia GeForce GPU Servers

GPU Processor Ram Storage LOC & PORT Price
1x GTX1080 Ti Xeon 8 Core 2.6 GHz 32 GB 500 GB SSD Turkey, 1 Gbps $175/mo Contact Us
3x GTX1080 Ti AMD 12 Core 3.5 GHz 64 GB 500 GB NVMe + 2 TB HDD Turkey, 1 Gbps $489 / mo Contact Us
4x GTX1080 Ti AMD 12 Core 3.5 GHz 96 GB 1 TB NVMe Turkey, 1 Gbps $649 / mo Contact Us
1x RTX2080 Ti AMD 8 Core 3.6-4.4 GHz 64 GB 500 GB SSD Turkey, 1 Gbps $325/mo out-of-stock
2x RTX2080 Ti AMD 6 Core 3.4-3.9 GHz 64 GB 500 GB SSD Turkey, 1 Gbps $629/mo Contact Us
1x RTX 3090 AMD 6 Core 3.7-4.6 GHz 32 GB 500 GB SSD Turkey, 1 Gbps $360/mo out-of-stock

Discounts available for long-term commitments.

Nvidia Quadro GPU Servers

GPU Processor Ram Storage LOC & PORT Price
2x RTX A4000 * AMD 12 Core 3.5 GHz 64 GB 0.5 TB NVMe Turkey, 1 Gbps $399/mo Contact Us
4x RTX A4000 * AMD 12 Core 3.5 GHz 128 GB 0.5 TB NVMe Turkey, 1 Gbps $749/mo Contact Us
2x RTX A5000 * AMD 12 Core 3.5 GHz 128 GB 0.5 TB NVMe Turkey, 1 Gbps $799/mo Contact Us
2x RTX A6000 * AMD 12 Core 3.5 GHz 128 GB 2 TB NVMe Turkey, 1 Gbps $1499/mo Contact Us
4x RTX A6000 * Dual AMD Epyc 7352 (48 Core, 96 vCPU total) 512 GB*² 3.8 TB NVMe*² Turkey, 1 Gbps*³ $2699/mo Contact Us

Discounts available for long-term commitments.

* Enterprise Nvidia GPUs based on Ampere architecture  (2x combined memory with two GPUs using optional NVLink)

Upgradable

 Upgradable to 10 Gigabit

Why Choose Us?

The Support Experience

Get support when you need it. And talk to a single person, who can address all your questions and give informed advice.

Dedicated Hardware

Get root access to the GPU server. Unlike virtualized solutions, use unshared resources and achieve the absolute best performance out of GPUs,

No Surprises Pricing

You pay a flat-rate and you always know what you're paying up front. No hidden charges.

Long-Term Discounts

Make your GPU server rental more affordable... Purchase 3, 4, 6, 9 or 12 months blocks of time and save huge.

NVIDIA GeForce GTX 1080 Ti

NVIDIA GeForce GTX 1080 Ti

Nvidia GeForce GTX 1080 Ti is based on the Pascal GP102 graphics processor (the same chip used by Tesla P40)

GeForce GTX 1080 Ti GPUs are good for Deep Learning, animation rendering, video transcoding and real time video processing.

11 GB memory (484 GB/s bandwidth)
3584 Nvidia CUDA cores
11.3 TFLOPS (FP32)

NVIDIA GeForce RTX 2080 Ti

NVIDIA GeForce RTX 2080 Ti

Nvidia GeForce RTX 2080 Ti is based on the TU102 graphics processor (the same processor used by Titan RTX). In addition to CUDA cores, RTX 2080 Ti has 544 tensor cores that accelerates machine learning applications. The card also has 68 ray tracing cores which dramatically improves GPU ray tracing performance and it's supported in VRAY, OctaneRender and Redshift.

GeForce RTX 2080 Ti GPUs are good for Deep Learning, animation rendering, real time ray tracing, video transcoding and VR/AR design.

11 GB memory (616 GB/s bandwidth)
4352 Nvidia CUDA cores
13.5 TFLOPS (FP32)

NVIDIA TESLA V100 GPU ACCELERATOR

NVIDIA Tesla V100

Nvidia Tesla V100 is based on Nvidia Volta architecture and offers the performance of up to 100 CPUs in a single GPU. V100 has two versions, PCle and SXM2, with 14 and 15.7 TFLOPS FP32 performance respectively. It comes with either 16GB or 32GB memory, and 32GB one enables AI teams to fit very large neural network models into the GPU memory.

Nvidia Tesla V100 GPUs are good for Machine Learning, Deep Learning, Natural Language Processing, molecular modeling and genomics. Tesla GPUs are the only choice for applications that require double precision such as physics modelling or engineering simulations.

16 or 32 GB memory (900 GB/s bandwidth)
5120 Nvidia CUDA cores
15.7 TFLOPS (FP32)

NVIDIA RTX 3090

Nvidia RTX 3090 enthusiast-class graphics card and is based on Nvidia Ampere architecture (GA102-300-A1 variant).

24 GB memory (936 GB/s bandwidth)
10496 Nvidia CUDA cores
328 Tensor Cores
35.5 TFLOPS (FP32)

nvidia-quadro-rtx-a6000-ampere-gpu-instance

NVIDIA Quadro RTX A6000

Nvidia RTX A6000 is based on Nvidia Ampere architecture and empowers designers, engineers, scientists, and artists to handle the most graphics and compute-intensive workflows. The RTX A6000 is equipped with the latest generation RT Cores, Tensor Cores, and CUDA cores for unprecedented rendering, AI, graphics, and compute performance.

New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing.

NVIDIA Ampere architecture based GPUs support PCI Express Gen 4.0 (PCIe 4.0), which provides 2X the bandwidth of PCIe Gen 3.0. This improves data transfer speeds from CPU memory for data-intensive tasks such as AI and data science. Faster PCIe performance also accelerates GPU direct memory access (DMA) transfers, enabling faster video data transfers from GPUDirect® for video-enabled devices.

Third-generation NVIDIA NVLink® technology enables users to connect two GPUs together to share GPU performance and memory. With up to 112 gigabytes per second (GB/s) of bidirectional bandwidth and combined graphics memory of up to 96 GB, professionals can tackle the largest rendering, AI, virtual reality, and visual computing workloads.

48 GB memory (768 GB/s bandwidth)
10752 Nvidia CUDA cores
336 Tensor Cores
38.7 TFLOPS (FP32)
309.7 TFLOPS Tensor Performance

Additional Storage: Contact Us

Internet traffic: Each server comes with a free amount of monthly internet traffic. Contact us for details.

Looking for a GPU dedicated server near Germany, UK or Netherlands? Below is average ping and connection speeds from Turkey based “1 Gbps” servers to some locations.

 

 

 

 

Location Ping Download from (Mbps) Upload to (Mbps)
Amsterdam 69 890 870
Frankfurt 60 850 890
London 74 850 875
New York City, NY 142 780 590
Boston, MA 139 700 – 910 500 – 630
San Francisco, CA 207 700 – 920 200 – 450
Toronto, ON 147 800 590