Hardware Packages

Our custom tailored hardware packages available for rental on our website.

1. Lite GPU - GTX 1650

• RAM: 64GB

• CPU: Eight-Core Xeon E5-2667v3

• Storage: 120GB SSD + 960GB SSD

• Network: 100Mbps-1Gbps

• Operating System: Windows / Linux

• GPU: Nvidia GeForce GTX 1650

• Microarchitecture: Turing

• CUDA Cores: 896

• GPU Memory: 4GB GDDR5

• FP32 Performance: 3.0 TFLOPS

Use Case: Ideal for basic computational tasks, casual gaming, and everyday graphic-intensive applications.

2. Basic GPU - RTX 2060

• RAM: 128GB

• CPU: Dual 10-Core E5-2660v2

• Storage: 120GB SSD + 960GB SSD

• Network: 100Mbps-1Gbps

• Operating System: Windows / Linux

• GPU: Nvidia GeForce RTX 2060

• Microarchitecture: Ampere

• CUDA Cores: 1920

• Tensor Cores: 240

• GPU Memory: 6GB GDDR6

• FP32 Performance: 6.5 TFLOPS

Use Case: Suitable for gaming, OBS streaming, video editing, Android emulators, and 3D rendering.

3. Professional GPU - RTX 4060

• RAM: 64GB

• CPU: Eight-Core E5-2690

• Storage: 120GB SSD + 960GB SSD

• Network: 100Mbps-1Gbps

• Operating System: Windows / Linux

• GPU: Nvidia GeForce RTX 4060

• Microarchitecture: Ada Lovelace

• CUDA Cores: 3072

• Tensor Cores: 96

• GPU Memory: 8GB GDDR6

• FP32 Performance: 15.11 TFLOPS

Use Case: Great for advanced gaming, machine learning, and content creation tasks, providing a balance between performance and cost.

4. Advanced GPU - RTX 3060Ti

• RAM: 128GB

• CPU: Dual 12-Core E5-2697v2

• Storage: 240GB SSD + 2TB SSD

• Network: 100Mbps-1Gbps

• Operating System: Windows / Linux

• GPU: Nvidia GeForce RTX 3060 Ti

• Microarchitecture: Ampere

• CUDA Cores: 4864

• Tensor Cores: 152

• GPU Memory: 8GB GDDR6

• FP32 Performance: 16.2 TFLOPS

Use Case: Excellent for video editing, 3D rendering, and complex machine learning models.

5. Enterprise GPU - RTX 4090

• RAM: 256GB

• CPU: Dual 18-Core E5-2697v4

• Storage: 240GB SSD + 2TB NVMe + 8TB SATA

• Network: 100Mbps-1Gbps

• Operating System: Windows / Linux

• GPU: Nvidia GeForce RTX 4090

• Microarchitecture: Ada Lovelace

• CUDA Cores: 16,384

• Tensor Cores: 512

• GPU Memory: 24GB GDDR6X

• FP32 Performance: 82.6 TFLOPS

Use Case: Perfect for 3D rendering, CAD, AI/deep learning, professional design, video editing, HPC, and high-end gaming.