AI Workstation with Nvidia GPU V100/A100 for Local AI Models Deployment

ALNETS AI Workstation (AW-V / AW-A Series) — Product Overview

ALNETS AI Workstation is a local AI computing solution designed to make deploying and running large AI models simple, fast, and secure—right at your desk or on-premises. It combines data-center–grade NVIDIA GPUs, server-grade hardware, and visual, one-click model deployment tools for AI inference and full-stack AI application scenarios.

Key Highlights

• Data Center–Grade Professional GPUs
  AW-V / AW-A series models are equipped with NVIDIA V100 or NVIDIA A100 GPUs, delivering server-grade computing power for demanding AI workloads.
• Water Cooling for Long-Term Operation
  High-efficiency liquid cooling supports 24/7 high-load operation, helping reduce noise, improve energy efficiency, and sustain long-duration AI workloads.
• Server-Grade Hardware Platform
  Built on a server-specific Intel X99 platform with industrial-grade chipsets to ensure stable power delivery, strong compatibility, and overall reliability.
• Simple AI Deployment Software
  Includes local AI model management tools with model library search, one-click switching/updates, and fully visual operations, enabling zero learning-curve deployment.

Why Local Deployment (vs. Cloud)

• Security & Compliance
  • Full data sovereignty and control
  • No external data transmission risk
  • Supports industry compliance needs
  • Reduced exposure to cloud-service security concerns
• Performance & Reliability
  • Zero network latency for inference
  • Guaranteed availability (not dependent on bandwidth)
  • Predictable performance without bandwidth limits
• Cost & Flexibility
  • No recurring cloud subscription fees
  • Customizable hardware configurations
  • Scalable compute resources
  • Potentially lower total cost of ownership

Model Lineup:

• AW-V32 / AW-A32: V100 or A100, 32GB VRAM ×1, 32GB RAM, 512GB storage, 750W PSU
• AW-V64 / AW-A64: V100 or A100, 32GB VRAM ×2 (64GB), 64GB RAM, 512GB storage, 1000W PSU
• AW-V96 / AW-A96: V100 or A100, 32GB VRAM ×3 (96GB), 128GB RAM, 1TB storage, 1350W PSU

Supported AI Model Sizing

Rough VRAM guidance for popular models (depending on FP16 vs 4-bit quantization), such as:

• 7–8B class (e.g., Qwen, Llama small): typically fits from ~6–18GB depending on precision
• 14B class: ~10–14GB (4-bit)
• 32B class: ~18–65GB depending on precision
• 70B class: ~35–45GB (4-bit)

Typical Application Scenarios

• Industrial manufacturing: visual inspection, AGV scheduling, fault prediction (low latency, no network dependency)
• Finance: risk control, anti-fraud, fast credit approval (closed-loop data security)
• Medical: imaging diagnosis, EMR analysis, clinical decision support (privacy and compliance)
• Education: AI lab training, lightweight training, research and student projects

Technical Specifications for AW-V Series and AW-A Series:

For more specific requests of AI workstation, just feel free to contact us, we can be your reliable backups to provide economical and practical solutions according to your needs!