GPU configurations, suitable for crypto mining, video transcoding, machine learning, compute tasks.
Add a GPU or Coprocessor board to your server.

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Get instant access to computing power, graphics rendering, video transcoding, desktop virtualization, and crypto mining.

GeForce GTX 1080

NVIDIA GeForce GTX 1080/1070 TI

Get the latest and best performing chip, for graphics rendering and computing. The NVIDIA Pascal architecture delivers high performance at a budget friendly price.

  • 8GB DDR5
  • 2560 CUDA Cores
  • 320 GB/s Max Bandwidth
  • NVIDIA GPU Boost 3.0

Compatible with Linux, CUDA/OpenCL, KVM.


Use the 2560 cores to encode or transcode multiple simultaneous video streams in real time.

3D Rendering

Faster 3D graphics processing, allow you to increase productivity and revenue.


Run your CUDA and OpenCL applications at optimal performance by using the computing power of the GTX 1080.

Tesla K40


Get access to high compute power by combining our HP blade dedicated servers with NVIDIA Tesla K40.

  • Dual GPU design (Two Kepler GK210 GPUs per card)
  • 4992 CUDA cores
  • 24GB DDR5
  • 480 Gbps bandwidth

Compatible: Linux, Windows Server, CUDA/OpenCL.

High Performance Computing

Leverage the power of Tesla K40 to accelerate your HPC applications.

Machine Learning

Get better results, faster, by leveraging the power of Tesla to enhance machine learning procedures.


Use the card’s parallel data processing capabilities to compute your bioinformatics data.


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 HP BL460c blade server. *Results may vary, based on server configuration and video resolution of each stream.

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. *Results may vary based on server configuration.

  • Pascal GP100 or GP104 chip
  • Up to 3584 CUDA cores
  • Up to 16GB CoWoS
  • Enterprise grade hardware

Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.

Titan V


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. Ge 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.

  • NVIDIA Volta Chip
  • 5120 CUDA cores
  • 640 Tensor Cores
  • 12 GB CoWoS Stacked HBM2
  • 653 Gbps max bandwidth

Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.

Why Primcast?

Add a GPU or Coprocessor board 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.

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