J P S T R E A M

FireBird GPU Servers

FireBird GPU Servers

FireBird GPU Server Series

A lineup of NVIDIA GPUs for developers.
The latest model Tesla V100 with “Tensor core” is also available.
Online deep learning training and inference services, image recognition, content identification, and voice recognition
Video rendering, collision simulation, computational finance, genetic engineering, and climate prediction
Engineering design, non-linear editing, and distance education applications

FireBird GPU Servers

ideal for scenarios such as deep learning, video processing, scientific computing, and visualization.

Video Processing

HD media coding, 4K/8K HD live, video conferencing, and source film repair

NVDIA powered

NVIDIA Tesla P100, NVIDIA Tesla P40, and NVIDIA Tesla V100.

The ultimate powerful computing capabilities based on GPU technology.

For serious machine learning projects, data science and AI engineering teams must use GPU-accelerated compute instances that can handle massively parallel workloads to more quickly train and continuously retrain models on large data sets. FireBird server series powered by NVIDIA Tesla V100,GPUs are ideally designed for those critical projects and the fastest way to train and run machine learning models today.

FireBird GPU Servers across Japan

GPU server with high-speed computing and graphics processing capabilities

¥149890

Setup Fee ¥1.116400

NVIDIA Tesla V100
Xeon E5-2623 v3 2CPU
NVIDIA Tesla V100(16GB)
128GB Memory Ram 
MLC SSD 480GB x2

Configure

¥169890

Setup Fee ¥1.129600

NVIDIA Tesla V100
Xeon E5-2623 v3 2CPU
NVIDIA Tesla V100(32GB)
128GB Memory Ram
MLC SSD 480GB x2

Configure

¥139890

Setup Fee ¥998890

NVIDIA Tesla V100
Xeon E5-1630 v4 1CPU
NVIDIA Tesla V100(32GB)
64GB Memory Ram
MLC SSD 480GB x2

Configure

FireBird GPU Series Specifications

Common Features

Product FAQs

GPU servers, as the name suggests, are servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.
The main difference between CPU and GPU architecture is that a CPU is designed to handle a wide-range of tasks quickly (as measured by CPU clock speed), but are limited in the concurrency of tasks that can be running. A GPU is designed to quickly render high-resolution images and video concurrently.
Are you considering a new dedicated server? If you’re like most business leaders, graphics processing units, or GPUs, may not be the first hardware add-ons that spring to mind, but they’re definitely worth your attention.
If your application requires serious GPU performance, we can deliver 2, or 4 GPUs peered together into a single root complex using today’s most advanced binding technology. Our FireBird servers are data center grade and equipped with NVIDIA GPU accelerators.

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