AW-V32
Entry AI Inference
The AW-V32 is our entry-level AI inference server, designed for teams getting started with local AI deployment. Powered by a single NVIDIA V100 or A100 GPU, it handles 7B parameter LLM inference, SDXL image generation, and lightweight model serving. The air-cooled 2U chassis fits standard data center racks and runs quietly for office deployments. Pre-loaded with Ubuntu and ALWork Model Manager for zero-configuration AI setup.
Technical Specifications
Detailed hardware configuration of AW-V32
Performance Benchmarks
Real-world performance data from our test lab
Key Features
What makes AW-V32 the right choice
Single NVIDIA V100/A100 GPU for entry-level AI workloads
128GB DDR4 ECC RAM for model loading and inference
2TB NVMe SSD for fast model storage and loading
Air-cooled design — silent enough for office environments
Pre-loaded Ubuntu + ALWork Model Manager
IPMI 2.0 remote management for headless operation
Ideal For
AI startups, research labs, and small teams needing a dedicated on-premise GPU server for LLM inference, image generation, and model prototyping.
Frequently Asked Questions
Common questions about AW-V32
Can AW-V32 run 70B parameter models?
The AW-V32 with a single V100 32GB can run 7B–13B parameter models at full precision. For 70B models, you would need quantization (4-bit) or the multi-GPU AW-A40/A80 series.
What software comes pre-installed?
AW-V32 ships with Ubuntu 22.04 LTS, NVIDIA drivers, CUDA toolkit, and ALWork Model Manager — our AI model deployment toolkit for one-click model serving.