AI Servers

Model: AI-4000

Specifications

• GPU (VRAM): 2 x A6000 (96GB)
• DRAM: 1TB
• AI Kit Cache: 2TB
• Capabilities:
  • Train up to 1x 90B model
  • Fine-tune 10x 7B or 20x 125M models
  • Supports Text-Image, Speech-Text, Text-Speech, Text-Text, Image-Text, Image-Image (all in parallel)
• Ideal For: Large-scale AI model training and deployment.

Model: AI-5000

Specifications

• GPU (VRAM): 4 x A6000 (196GB)
• DRAM: 2TB
• AI Kit Cache: 4TB
• Capabilities:
  • Train up to 1x 220B model
  • Fine-tune 2x 70B + 4x 13B or 30x 125M models
  • Supports Text-Image, Speech-Text, Text-Speech (2x all in parallel)
• Ideal For: Enterprise-level AI solutions with massive data processing needs.

Model: AI-6000

Specifications

• GPU (VRAM): 8 x A6000 (384GB)
• DRAM: 4TB
• AI Kit Cache: 8TB
• Capabilities:
  • Train up to 1x 405B model
  • Fine-tune 30x 300M or 2x 180B models
  • Supports Text-Text, Image-Text, Image-Image, Text-Image, Speech-Text, Text-Speech (4x all in parallel)
• Ideal For: Cutting-edge AI research and large-scale model training.

Model: AI-7000

Specifications

• GPU (VRAM): 8 x H100 (680GB)
• DRAM: 8TB
• AI Kit Cache: 16TB
• Capabilities:
  • Train up to 2x 405B models
  • Fine-tune 4x 180B models
  • Supports Text-Image, Speech-Text, Text-Speech (8x all in parallel)
• Ideal For: State-of-the-art AI applications and ultra-large model training.

Why Choose Aadeet?

• Cost-Effective: Up to 10x reduction in capex compared to conventional setups.
• Scalable: From small workstations to high-performance servers, we cater to all AI needs.
• Efficient: Pre-installed AI tools and frameworks for seamless development.
• Flexible: Supports a wide range of AI tasks, including text, image, speech, and video models.

Note: GPU models are for illustrative purposes only. The actual hardware configurations listed above are subject to change without prior notice. Concurrency may vary depending on the selected model type and the size of the dataset used for training. Contact Aadeet for more details.