High Performance Computational Workhorse in the Cloud
High Performance Computational Workhorse in the Cloud
GPU Servers are ideal for delivering record acceleration and more efficient compute performance through parallel processing for big data applications.
Rapidly deploy highly scalable GPU Servers in the cloud, installing up to 4 GPUs per node, dramatically increasing capacity in a small datacenter footprint.
GPU Servers allows organizations to utilize a high-performance, bare-metal, HPC computing environment in the cloud without having to invest in on-premise infrastructure.
NVIDIA Tesla K10 2 x 1536 CUDA Cores 8GB GDDR5 Double-precision 0.19 Tflops Single-precision 4.58 Tflops Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port
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 2.60 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port
NVIDIA Tesla K40 2880 CUDA Cores 12GB GDDR5 Double-precision 1.43 Tflops Single-precision 4.29 Tflops Dual Intel Xeon E5-2670 16 Cores / 32 Threads 2.60 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
Leverage the power of GPUs in the cloud, designed for compute-intensive applications that require high-performance GPU accelerators and massive parallel floating point performance.
NVIDIA Tesla GPU accelerators 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.
Deploy your GPU-powered Dedicated Server with NVIDIA Tesla K40, K20X or K10 GPU Accelerators. Immediate availability to elect depending on your compute or application needs.
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.
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.
Three (3) NVIDIA Tesla K10 2 x 4608 CUDA Cores 24GB GDDR5 Double-precision 0.57 Tflops Single-precision 13.7 Tflops Dual Intel Xeon E5-2620 12 Cores / 24 Threads 2.00 GHz 32 GB ECC RAM 250 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port
Dual (2) NVIDIA Tesla K20x 5376 CUDA Cores 12GB GDDR5 Double-precision 2.62 Tflops Single-precision 7.9 Tflops Dual Intel Xeon E5-2660 16 Cores / 32 Threads 2.60 GHz 96 GB ECC RAM 500 GB SSD Storage RAID 0,1 BIOS Controller IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port
Dual (2) NVIDIA Tesla K20x 5376 CUDA Cores 12GB GDDR5 Double-precision 2.62 Tflops Single-precision 7.9 Tflops Dual Intel Xeon E5-2660 16 Cores / 32 Threads 2.60 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
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
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs.
GPU Dedicated Servers are deployed within 2 – 4 hours after cleared payment. This also applies on weekends and holidays.
Additional IPv4 addresses are reviewed on a per-client basis. You can request additional IP resources in a support ticket.
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.
Each GPU Dedicated Server is enabled with a 1Gbps port. Our network is redundant with diverse fiber links for the best latency to every destination in the world.
Absolutely, all of our GPU Servers can be customized with plenty of options, such as Multiple GPUs, CPUs, RAM, SSD or HDD Storage.
We manage the hardware & network. If you need system administration, there is an additional $59/month fee for proactive management of GPU Servers.
We accept Paypal, Credit / Debit Cards and Bitcoin. If you need to arrange for special payment, contact our sales team.
No, we do not offer trial servers. Nor do we offer refunds for deployed services. Please contact our support team if you have questions before ordering.
NVIDIA GRID K520 3072 (2 x 1536) CUDA Cores 8GB GDDR5 (4 GB/GPU) Total GPUs: 2 GK104 GPUs Concurrent # Users: 2-16 Intel Xeon E5-2620 6 Cores / 12 Threads 2.00 GHz 32 GB ECC RAM 250 GB SSD Storage IPv4 + IPv6 Connectivity 15 TB Transfer 1 Gbps Port
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.
Server-side graphic workloads, cloud gaming and 3D visualizations are some of the use-cases of the NVIDIA GRID K520 GPU Server.