FireBird GPU Servers

GPU dedicated servers provide the power you need for high performance

GPU Dedicated Servers

Configured with graphics processing units for intensive tasks.

GPU Servers make your application simply run significantly faster. GPU-accelerated computing is the use of a GPU together with a CPU to accelerate scientific, engineering, and enterprise applications such as medical imaging, bioinformatics, CAD/CAM/CAE, film making and animation, computational fluid dynamics or finance, seismic exploration, defense and many more.

Our FireBird GPU servers series utilise NVIDIA’s world-leading technology to achieve the pinnacle of high performance computing. Develop your own supercomputing cluster or build a virtualised VDI environment using industry-leading hardware from NVIDIA.

Massively parallel GPU dedicated server architecture and bare metal servers accelerate your CUDA applications and power some of the most advanced applications in the world to optimise workloads and save costs, or gain competitive advantages to drive revenue.

Why GPU?

A GPU (Graphical Process Unit), has a massively parallel architecture compared to a conventional CPU. This design originally intended to handle computation only for computer graphics (OpenGL/Direct3D), was adapted with programming languages such as CUDA or OpenCL, to perform computation in applications traditionally handled by CPU.

Thus for applications requiring a large number of parallel tasks (image processing , bioinformatics , big data ... ) GPU architecture is particularly suitable and can greatly accelerate the processing of these calculations which are often very resource-intensive.

Accelerate Your Applications

Quick Solutions for Industries

Manufacturing & Engineering

Offload computationally intensive 3D modelling and manipulation to the parallel processing power of our GPU servers. Enjoy faster simulation, rendering and iteration speeds in your CFD, CEA or EAD projects.

Medical & Life Science

Take your research data modelling to the next level with hosted GPU servers. Accelerate a wide range of iterative and analytical processes like gene sequencing, clinical results analysis and molecular dynamics to achieve quicker results and make faster discoveries.

Oil & Gas

Ensure productivity, efficiency and safety are optimised, and make better investment decisions, with the power of our GPU cloud. Use on-demand GPU resources to perform faster process engineering, simulations, seismic activity analysis and data processing.

Big Data & Analytics

Make better, real-time decisions by accelerating your big data analysis. Sorting, searching and finding the patterns in increasingly large data-sets can be performed significantly faster when supported with massively parallel GPU architecture.

Customize Your FireBird Cloud

Need an GPU-powered cloud environment with your specific combination of Operating System, CPU, RAM and storage tiers? No problem.

We can design and build highly-customized, massively-dense GPU cloud environments for you to squeeze every last bit of performance from your hardware, and we can liaise with Nvidia directly to ensure that all aspects of the environment are balanced to deliver the best possible return on investment.

  • FireBird Titan
  • ¥150900
    per /Mo + Setup fees: 920000 JPY
  • CPU: Xeon E5-2623 v3 4Core × 2CPU
  • GPU Card: NVIDIA TITAN X Pascal x4
  • Memory Ram: 128GB
  • Storage: SSD 480GB x2
  • Network 100Mbps (Best Effort)
  • Local Network: 10Gbps
  • OS: Ubuntu 14.04 (64bit)
  • Custom OS CentOS 7 (64bit) / Ubuntu 16.04 (64bit)
  • DataCenter: Japan
  • FireBird Tesla P40
  • ¥156890
    per /Mo + Setup Fees 958000 JPY
  • CPU: Xeon E5-2623 v3 4Core × 2CPU
  • GPU card: NVIDIA Tesla P40 ×1
  • Memory Ram: 128GB
  • Storage: SSD 480GB RAID 1
  • Network 100Mbps (Best Effort)
  • Local Network: 10Gbps
  • OS: Ubuntu 14.04 (64bit)
  • Custom OS CentOS 7 (64bit) / Ubuntu 16.04 (64bit)
  • DataCenter: Japan
  • FireBird Tesla P100
  • ¥158700
    per /Mo + Setup Fees 985000 JPY
  • CPU: Xeon E5-2623 v3 4Core × 2CPU
  • GPU Card: NVIDIA Tesla P100 ×1
  • Memory Ram: 128GB
  • Storage: SSD 480GB RAID 1
  • Network 100Mbps (Best Effort)
  • Local Network: 10Gbps
  • OS: Ubuntu 14.04 (64bit)
  • Custom OS CentOS 7 (64bit) / Ubuntu 16.04 (64bit)
  • DataCenter: Japan

FireBird GPU Server Series require 3 months contract minimum

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