Achieve Ultra-High Performance
High-performance Accelerators for Cloud Servers Parallelizing Computations Suitable For Parallel Processing, Machine Learning & Graphics-Intensive Applications.
Reduction in capital cost high purchasing and maintaining costs of GPU are minimized for better leveraging IT budget.
Market Leading Hardware
Powered by NVIDIA T4, a high-rating GPU with considerable CUDA, Tensor and RT Cores for parallel processing.
Image Processing Capabilities
According to GeekBench, the Gaussian Blur and Depth of Field Performance Score are 102,644 and 302,959 respectively.
Dedicated GPUAchieve Ultra-High Performance
2560 Cuba Cores
320 Tensor Cores
16GB GDDR6 GPU Memory
40 Ray Tracing Cores
8.1 TFLOPS FP 32 Performance
High Performance Cloud Server Accelerators for Parallel Computing
With 100% dedicated vCPUs and NVMe SSD storage, Compute Optimized cloud sever plans are most appropriate for workloads that rely heavily on computing power and multitasking, but are less demanding in terms of memory. Compute Optimized plans are perfect solution when it comes to AI, machine learning, and other applications that can benefit from fast, coherent performance and low latency.
FireBird Standard Model 1 ¥152760 Monthly
GPU NVIDIA V100（32GB HBM2）X 1 Unit
Xeon E5-1630 v4 4Core X 1 - (4C/8T, 3.7GHz/4.0GHz）
64GB Memory RAM
Initial Setting ¥ 920000
FireBird Standard Model 2 ¥218920 Monthly
GPU NVIDIA V100（32GB HBM2）X 2 Units
Xeon E5-1630 v4 4Core X 1 - - (4C/8T, 3.7GHz/4.0GHz）
64GB Memory RAM
Initial Setting ¥ 1920000
FireBird Advanced Model ¥387890 Monthly
GPU NVIDIA V100（32GB）X 4 Units
Xeon E5-2623 v3 4Core×2 - （8C/16T, 3.0GHz /3.5GHz）
128GB Memory RAM
Initial Setting ¥ 3720000