Gpu Server
Server Type - Rapid Deploy
CPU - 8 x 4.20 GHz
Memory - 128GB DDR5
Hard Drive - 2x1TB NVMe
Server Type - Rapid Deploy
CPU - 8 x 3.80 GHz
Memory - 64GB DDR4
Hard Drive - 2x1TB NVMe
Server Type - Rapid Deploy
CPU - 12 x 3.70 GHz
Memory - 128GB DDR5
Hard Drive - 2x2TB NVMe
GPU Model - A4000
Architecture - Ampere
CUDA Cores - 6,144
VRAM (GB) - 16 GB
Memory Type - GDDR6
TDP - 140W
Key Use Cases - Professional Graphics, CAD, VR, AI
GPU Model - L4
Architecture - Ada Lovelace
CUDA Cores - 7,680
VRAM (GB) - 24 GB
Memory Type - GDDR6
TDP - 72W
Key Use Cases - AI Inference, Edge, Cloud, Virtualization
GPU Model - A5000
Architecture - Ampere
CUDA Cores - 8,192
VRAM (GB) - 24 GB
Memory Type - GDDR6
TDP - 230W
Key Use Cases - AI Training, Professional Workflows, Rendering
GPU Model - RTX 6000 ADA
Architecture - Ada Lovelace
CUDA Cores - 18,176
VRAM (GB) - 48 GB
Memory Type - GDDR6
TDP - 300W
Key Use Cases - High-end AI, Data Science, Rendering
GPU Model - A6000
Architecture - Ampere
CUDA Cores - 10,752
VRAM (GB) - 48 GB
Memory Type - GDDR6
TDP - 300W
Key Use Cases - High-end AI, 3D Rendering, Simulation
GPU Model - A40
Architecture - Ampere
CUDA Cores - 10,752
VRAM (GB) - 48 GB
Memory Type - GDDR6
TDP - 300W
Key Use Cases - AI Training, Data Center, Rendering
GPU Model - L40S
Architecture - Ada Lovelace
CUDA Cores - 18,176
VRAM (GB) - 48 GB
Memory Type - GDDR6
TDP - 350W
Key Use Cases - AI, Deep Learning, Cloud Workloads
GPU Model - H100 PCIe
Architecture - Hopper
CUDA Cores - 14,592
VRAM (GB) - 80 GB
Memory Type - HBM3
TDP - 350W
Key Use Cases - Advanced AI, Machine Learning, HPC
GPU Model - A100 (80GB)
Architecture - Ampere
CUDA Cores - 6,912
VRAM (GB) - 80 GB
Memory Type - HBM2e
TDP - 300W
Key Use Cases - AI Training, HPC, Deep Learning
GPU Model - H200
Architecture - Hopper
CUDA Cores - 16,896
VRAM (GB) - 141 GB
Memory Type - HBM3e
TDP - 700W
Key Use Cases - Cutting-edge AI, Data Science, Research
