Deep Learning Solution
Dedicated GPU servers
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The CPU no longer provides enough computing power for current tasks. The computing power of the GPU exceeds the power of the CPU by 200-300 times. We choose GPU processing power
Rendering
The NVIDIA TITAN V video card is equipped with 12 Gb of HBM2 memory and 640 Tensor cores with a capacity of 110 Teraflops. In addition, for maximum results, the GPU supports NVIDIA CUDA optimized for the Volta architecture.
Titan V is good for:
  • Rendering, best results for Blender, Octane render, Cinema 4D, Maya and etc.
  • Video transcoding
  • Machine learning, NVIDIA TITAN users have free access to GPU-optimised deep learning software on NVIDIA Cloud.
Universal
GeForce GTX 1080 Ti is a powerful graphic card based on Pascal architecture. It has enough GRAM (11 Gb) for machine learning tasks and powerlul GP102 core with 3584 CUDA cores
GTX 1080 Ti is universal solution:
  • For working with CNTK, Tensorflow, Torch, Pytorch, MXnet libraries and etc.
  • Optimal performance by using OpenCL applications and single precision tasks
  • GTX 1080TI is not only comfortable for Machine learning it is universal card and it’s can be used for Rendering and Password recover too
Machine learning
Tesla P100 - the most advanced graphics accelerators ever created. They are based on a new architecture GPU NVIDIA Pascal and is the world's fastest computer servers with a capacity exceeding hundreds of classic server-based CPU. If you need high performance and accuracy of calculations - Tesla P 100 is the best choice.
Tesla P100 is good solution for:
  • For working with CNTK, Tensorflow, Torch, Pytorch, MXnet libraries and etc.
  • Deep learning
  • Molecular modeling
Deep machine learning
GPU NVIDIA Tesla® V100 - the most efficient GPU, based on the architecture of NVIDIA Volta. NVIDIA Tesla® V100 accelerators, connected by NVLink ™ technology, provide a capacity of 160 Gb/s, which allows a whole host of problems to be solved, from rendering and HPC to training of AI algorithms.
Tesla V100 is good for:
  • Deep Learning
  • High-performance computing (HPC)
  • GTX 1080TI is not only comfortable for Machine learning it is universal card and it’s can be used for Rendering and Password recover too
Password recover
GeForce RTX 2080 Ti is the flagship graphics card based on NVIDIA Turing architecture, featuring an 11 Gb GDDR6 high-speed memory, tensor cores for training neural networks and RT cores for ray tracing. According to the reviews, the average performance of the GeForce RTX 2080 Ti is up to 35% better than the GTX 1080 Ti. The RTX 2080 Ti video cards combine the technologies of artificial intelligence, virtual reality, real-time ray tracing and fast shader processing.
RTX 2080TI is good for:
  • Password recovering
  • Single precision calculations
GeForce GTX 1080 Ti is a powerful graphic card based on Pascal architecture. It has enough GRAM (11 Gb) for machine learning tasks and powerlul GP102 core with 3584 CUDA cores
GTX 1080 Ti is universal solution:
  • For working with CNTK, Tensorflow, Torch, Pytorch, MXnet libraries and etc.
  • Optimal performance by using OpenCL applications and single precision tasks
  • GTX 1080TI is not only comfortable for Machine learning it is universal card and it’s can be used for Rendering and Password recover too
Deadicated GPU servers based on GTX 1080TI
Cheapet prise, secure machines,with high perfomance!
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Choose the best GPU server!
We offer best prices for dedicated GPU servers.
1x Geforse GTX 1080 server
2560 Cuda cores
  • 8 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 16 Gb RAM
  • 480 Gb SSD
0,5hour
35week
120month
2x Geforse GTX 1080 server
2x2560 Cuda cores
  • 16 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 32 Gb RAM
  • 480 Gb SSD
0,8hour
54week
216month
4x Geforse GTX 1080 server
4x2560 Cuda cores
  • 32 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 64 Gb RAM
  • 480 Gb SSD
1,6hour
108week
432month
1x Geforse GTX 1070 server
1920 Cuda cores
  • 8 Gb GDDR5
  • Intel® Xeon® E3-1230v6
  • 8 Gb RAM
  • 480 Gb SSD
0,4hour
22week
86‬month
2x Geforse GTX 1070 server
2x1920 Cuda cores
  • 16 Gb GDDR5
  • Intel® Xeon® E3-1230v6
  • 16 Gb RAM
  • 480 Gb SSD
0,7hour
43week
173month
4x Geforse GTX 1070 server
4x1920 Cuda cores
  • 32 Gb GDDR5
  • Intel® Xeon® E3-1230v6
  • 32 Gb RAM
  • 480 Gb SSD
1,4hour
86‬week
346‬month
1x Geforse GTX 1080TI server
3584 Cuda cores
  • 11 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 16 Gb RAM
  • 480 Gb SSD
0,6hour
51week
205month
2x Geforse GTX 1080TI server
2x3584 Cuda cores
  • 22 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 32 Gb RAM
  • 480 Gb SSD
0,9hour
102week
410month
4x Geforse GTX 1080TI server
4x3584 Cuda cores
  • 44 Gb GDDR5X
  • Intel® Xeon® E3-1230v6
  • 64 Gb RAM
  • 480 Gb SSD
1,8hour
203week
820month
1x Geforse RTX 2080TI server
4352 Cuda cores
  • 11 Gb GDDR6
  • Intel® Xeon® E3-1230v6
  • 16 Gb RAM
  • 480 Gb SSD
1,3hour
96week
385month
2x Geforse RTX 2080TI server
2x4352 Cuda cores
  • 22 Gb GDDR6
  • Intel® Xeon® E3-1230v6
  • 32 Gb RAM
  • 480 Gb SSD
2,6hour
193week
770month
4x Geforse RTX 2080TI server
4x4352 Cuda cores
  • 44 Gb GDDR6
  • Intel® Xeon® E3-1230v6
  • 64 Gb RAM
  • 480 Gb SSD
5,1hour
770week
1540month
Gpu.Space Features
We make qualitative and comfortable service for our clients.
Your convenience is important to us
Guaranteed 1 Gbps bandwidth
Installing your own software
Included 1 public IPv4.
Compatible with all popular machine learning frameworks
Preconfigured Windows and Linux operating systems
Secure mahines with personal key
Popular frameworks
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