Miami, FL Datacenter

GPU SERVER HOSTING

Enhanced computing power by thousands of GPU cores suited to accelerate parallel task computing

Deploy a GPU Server and accelerate your compute-intensive, streaming, gaming, encoding, graphics-intensive, and visualization workloads.

Single-Tenant GPU Server Hosting

Our GPU Server Hosting service offers a powerful set of dedicated servers, deployed from our Miami, Florida Datacenter, build with a massive parallel architecture consisting of thousands of smaller, more efficient CUDA cores designed to handle multiple tasks simultaneously. With GPUs installed, the amount of raw processing power  from our dedicated servers is orders of magnitude greater than what can be achieved with CPUs alone.


With our selection of GPU Dedicated Servers, you will have the infrastructure required to deploy high performance computing with significantly increased processing performance, compared to Dedicated Servers with CPU’s alone. This is due to the thousands of efficient cores designed to process information faster. These are bare-metal servers powered by your choice of NVIDIA GeForce, TESLA or GRID GPU boards.

Powerful

GPU Servers are ideal for delivering record acceleration and more efficient compute performance through parallel processing for big data applications.

Scalable

Rapidly deploy highly scalable GPU Servers in the cloud, installing up to 4 GPUs per node, dramatically increasing capacity in a small datacenter footprint.

Efficient

Our GPU Dedicated Servers lets you deploy high-performance parallel computing that is significantly more efficient to process intensive workloads than traditional CPUs.

NVIDIA GeForce GTX GPU Servers


With our GeForce GTX 10-series graphics cards, powered by Pascal architecture, our servers can deliver up to 3x the performance of previous-generation graphics cards, plus innovative new gaming technologies and breakthrough VR experiences.

Accelerate your 3D graphics design projects and leverage thousands of CUDA cores from our GPU Servers to accelerate your development workloads by utilizing high parallel computing for single precision jobs. Also, by offloading high computing tasks from the CPU you will dramatically shorten time to market on your code compilation projects. Cloud Gaming is another well-defined application for these GPU-powered server.
  • Text Hover
Dual GPU Dedicated Servers with NVIDIA GTX 1070 series GPUs are back in-stock.
$ 149
GPU Server GTX-1060-1

NVIDIA GTX-1060 1280 CUDA Cores Core Clock 1607 MHz Boost Clock 1835 MHz Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 10 TB Transfer 1 Gbps Port 4 Hour Deployment

$ 199
GPU Server GTX-1070-1

NVIDIA GTX-1070 1920 CUDA Cores Core Clock 1506 MHz Boost Clock 1733 MHz Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

$ 249
GPU Server GTX-1070-Ti-1

NVIDIA GTX-1070Ti 2432 CUDA Cores Core Clock 1607 MHz Boost Clock 1683 MHz Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

$ 299
GPU Server GTX-1070-2

Dual NVIDIA GTX-1070 1920 CUDA Cores Core Clock 1506 MHz Boost Clock 1733 MHz Intel Xeon E5-2620 v2 6 Cores / 12 Threads 2.10 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

$ 339
GPU Server GTX-1070-Ti-2

Dual NVIDIA GTX-1070Ti 2432 CUDA Cores Core Clock 1607 MHz Boost Clock 1683 MHz Intel Xeon E5-2620 v2 6 Cores / 12 Threads 2.10 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

$ 369
GPU Server GTX-1080-2

1 x NVIDIA GTX-1080 2560 CUDA Cores 1 x NVIDIA GTX-1060 1280 CUDA Cores Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 16 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

4 GPU Server

GTX-1060-4

  • Ideal for progressive deep learning workloads

  • Deployable within 4 hours

  • Our most powerful GPU server

  • Higher inference performance than a CPU server

  • Ideal for progressive deep learning workloads

  • Perfect for standard AI and HPC capabilities

$ 795
GPU Server GTX-1060-4

4 x NVIDIA GTX-1060 5120 CUDA Cores 2 x Intel Xeon E5-2620 v3 12 Cores / 24 Threads 2.40 GHz/3.20 GHz Turbo Boost 64 GB ECC RAM 1 x 250 GB SSD Storage 4 x 1TB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4 Hour Deployment

NVIDIA Tesla K-Series GPU Servers


VelociHOST harnesses the power of GPUs for unprecedented performance to ingest, explore, and visualize streaming data in real time.

NVIDIA Tesla GPU accelerators installed in our Dedicated Servers can solve your most demanding HPC and big data challenges. Using CUDA and OpenCL, you can increase the speed of complex processing, rendering, machine learning, high performance databases, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, and other server-side workloads requiring massive parallel floating point processing power.

With GPU-powered Dedicated Servers you can accelerate code builds, data builds, development tasks, and reduce development time to hours instead of days. Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.
High Performance Computing (HPC) on Bare Metal Servers

VelociHOST harnesses the power of GPUs  for unprecedented performance to ingest, explore, and visualize streaming data in real  time.

NVIDIA Tesla GPU accelerators installed in our Dedicated Servers can solve your most demanding HPC and big data challenges. Using CUDA and OpenCL, you can increase the speed of complex processing, rendering, machine learning, high performance databases, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, and other server-side workloads requiring massive parallel floating point processing power.

With GPU-powered Dedicated Servers you can accelerate code builds, data builds, development tasks, and reduce development time to hours instead of days. Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.
Choice of GPU types available

Deploy your GPU-powered Dedicated Server with our selection of NVIDIA Tesla K40, K20X or K10 GPU Accelerators. Immediate availability to deploy, depending on your compute or application needs.

Scalable GPU count

We provide up to 4 GPU NVIDIA Tesla K10, 2 x K20X or 1 x K40 on a Dedicated Server. Multiple GPUs can work together within a single host with up to a maximum of 4 GPUs.

Bare Metal Performance

Our GPUs are directly attached to the bare metal server’s PCIe 3.0 bus to provide maximum performance. There is no virtualization layer undermining the GPUs capabilities.
$ 259
GPU Server 3

Dual NVIDIA Tesla K10 6144 CUDA Cores 16 GB GDDR5 Double-precision 0.38 Tflops Single-precision 9.16 Tflops Dual Intel Xeon E5-2620 v2 6 Cores / 12 Threads 2.10 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 48-Hour Deployment

$ 349
GPU Server 4

NVIDIA Tesla K20X 2688 CUDA Cores 6GB GDDR5 Double-precision 1.31 Tflops Single-precision 3.95 Tflops Intel Xeon E5-2660 8 Cores / 16 Threads 2.20 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 48-Hour Deployment

$ 449
GPU Server 5

NVIDIA Tesla K40 2880 CUDA Cores 12GB GDDR5 Double-precision 1.43 Tflops Single-precision 4.29 Tflops Intel Xeon E5-2660 8 Cores / 16 Threads 2.20 GHz 64 GB ECC RAM 2 x 500 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 20 TB Transfer 1 Gbps Port 48-Hour Deployment

Multi GPU Tesla Server Plans

$ 499
GPU Server 6

Three NVIDIA Tesla K10 9216 CUDA Cores 24 GB GDDR5 Double-precision 0.57 Tflops Single-precision 13.7 Tflops Dual Intel Xeon E5-2620 v2 12 Cores / 24 Threads 2.10 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4-Hour Deployment

$ 639
GPU Server 7

Dual NVIDIA Tesla K20x 5376 CUDA Cores 12 GB GDDR5 Double-precision 2.62 Tflops Single-precision 7.9 Tflops Dual Intel Xeon E5-2620 v2 12 Cores / 24 Threads 2.10 GHz 96 GB ECC RAM 500 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 48-Hour Deployment

$ 679
GPU Server 8

Dual NVIDIA Tesla K20x 5376 CUDA Cores 12 GB GDDR5 Double-precision 2.62 Tflops Single-precision 7.9 Tflops Dual Intel Xeon E5-2620 v2 12 Cores / 24 Threads 2.10 GHz 64 GB ECC RAM 2 x 500 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 20 TB Transfer 1 Gbps Port 48-Hour Deployment

Included Features for our NVIDIA TESLA GPU Servers

Our NVIDIA-powered GPU Accelerators with Kepler compute architecture design includes the following powerful technology features:

 

  • Up to 2.62 Tflops Peak double-precision floating point performance

  • Up to 13.74 Tflops Peak single-precision floating point performance

  • 9,216 CUDA cores available

  • 24 GB GDDR5 Memory per server

  • SMX, Dynamic Parallelism, Hyper-Q

  • Up to 4 GPUs per server available

  • System monitoring features

  • OpenCL, CUDA, Vulkan or OpenGL support

  • Asynchronous transfer with dual DMA engines

  • Flexible programming environment

  • Text Hover

NVIDIA GRID GPU Servers for Cloud Gaming

Our Dedicated Servers powered by NVIDIA Kepler architecture-based GRID boards deliver the highest-density and highest-performance solutions available for cloud gaming platforms.

NVIDIA GRID K520 GPUs provide a cost-effective, high-performance platform for graphics applications using DirectX or OpenGL. NVIDIA GRID GPUs also support NVIDIA’s fast capture and encode API operations.
The NVIDIA GRID K520 can also leverage its capabilities for other server-side graphics workloads, like streaming graphics-intensive applications, video creation services, and 3D visualizations.

Empower your Cloud Gaming business with our NVIDIA GRID K520 powered Cloud Gaming Servers.
  • Text Hover
$ 249
GPU Server GRID-1

NVIDIA GRID K520 3072 (2 x 1536) CUDA Cores 8GB GDDR5 (4 GB/GPU) Total GPUs: 2 GK104 GPUs Intel Xeon E5-2620 v2 6 Cores / 12 Threads 2.10 GHz 32 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 48-Hour Deployment

$ 499
GPU Server GRID-2

Three NVIDIA GRID K520 9216 (6 x 1536) CUDA Cores 24GB GDDR5 (4 GB/GPU) Total GPUs: 6 GK104 GPUs 2 x Intel Xeon E5-2620 v2 12 Cores / 24 Threads 2.10 GHz 32 GB ECC RAM 500 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port 4-Hour Deployment

Frequently Asked Questions

 

How quickly can my GPU Server be deployed?

 
GPU Dedicated Servers are deployed within 4 – 48 hours after cleared payment. This also applies on weekends and holidays.

Can I get additional IPv4 addresses?

Additional IPv4 addresses are reviewed on a per-client basis. You can request additional IP resources in a support ticket.

Can an active GPU Server be upgraded?

It sure is, all active GPU Servers can be upgraded with a different Processor, more GPUs, RAM memory, bigger storage space and bandwidth. Keep in mind, servers would have to be shut down momentarily while the upgrade process takes place.

What port speed will my server have?

 

Each GPU Dedicated Server is launched with a 1Gbps port. Our network is redundant with diverse fiber links for the best latency to every destination in the world.

Can my GPU Dedicated Server be customized?

 
Yes, all of our GPU Servers can be customized with plenty of options, such as Multiple GPUs, CPUs, RAM, SSD or HDD Storage.

Is the Server managed?

We manage the hardware & network. If you need system administration, there is an additional $59/month fee for proactive management of GPU Servers.

What payment forms do we accept?

We accept Paypal, Credit / Debit Cards and Bitcoin. If you need to arrange for special payment, contact our sales team.

Do you offer trial servers and refunds?

 

No, we do not offer trial servers or refunds for deployed services. Please contact our support team if you have questions before ordering.