Compute. Transcode. Render. Mine.
Perfect for streaming to YouTube.
GPU Configurations starting at $59/mo.
Yes, Get my Server
Your GPU configuration is installed on Hewlett Packard Enterprise servers, stress tested for 100% compatibility and stability.
Get a GPU dedicated server, deployed in one of our New York or Bucharest data centers.
Your server is connected to a custom built, low latency global network.
Get access to instant support, from real humans, available around the clock via phone or live chat.
The T4 introduces Tensor Core technology with multi-precision computing, making it up to 40 times faster than a CPU and up to 3.5 times faster than its Pascal predecessor, the Tesla P4.
Get access to 8.1 TFLOPS of single precision performance from a single T4 GPU.
Transcode up to 38 full HD video streams simultaneously with a single Tesla T4 GPU paired with our HPE BL460c blade server.
*Results may vary, based on server configuration.
Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.
You can now add an Edge TPU coprocessor to any Linux-based system with the Coral USB Accelerator designed by Google. The small ASIC chip provides high-performance ML inferencing with low power cost. For example, it can execute 100fps on MobileNet v2 models, while using very little power (500mA at 5V).
Compatible with Linux machines, Debian 6.0 or higher, or any derivative (such as Ubuntu 10.0+), but also with Rasberry Pi (213 Mode B/B+).
NVIDIA’s new Turing chip architecture delivers up to six times the performance of previous generation GPU’s, with breakthrough technologies and next generation, ultra-fast GDDR6 memory.
Compatible with Linux, CUDA/OpenCL, KVM.
NVIDIA’s previous chip architecture, great for mining, graphics rendering and computing. The NVIDIA Pascal architecture delivers excellent performance at a budget friendly price.
Compatible with Linux, CUDA/OpenCL, KVM.
A optimal chip for machine learning and video transcoding, can be found in the NVIDIA Tesla P4 and P100 GPU’s. NVIDIA’s Pascal chip architecture has been proven to be faster and more power efficient than its Maxwell predecessor.
Transcode up to 20 simultaneous video streams with a single Tesla P4 paired with our HPE BL460c blade server. *
A more powerful version of the Tesla P4 is the Tesla P40, with more than twice the processing power of the Tesla P4.
The Tesla P100 GPU, is most suitable for deep learning and remote graphics. With 18.7 TeraFLOPS of inference performance, a single Tesla P100 can replace over 25 CPU servers.
Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.
*Results may vary, based on server configuration and video resolution of each stream.
The first GPU to break the 100 teraflop barrier of deep learning performance. NVIDIA’s Volta chip, is up to 3x faster than it’s Pascal chip predecessor.
Your deep learning project design can now be a reality, with little investment. Get the maximum per machine deep learning performance, replacing up to 30 single CPU servers with just one Titan V configuration.
Use the Titan V for high performance computing, from predicting the weather to discovering or finding new energy sources. Get your results up to 1.5x faster than NVIDIA’s Pascal predecessor.
Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.
Add a GPU to HP enterprise hardware, designed specifically for use with GPU add-ons, eliminating incompatibility issues or poor/underperformance of hardware. Your services are deployed on our global low latency network, backed by a 99.9% uptime SLA and supported by GPU server experts, around the clock.
