Resource Hub
Code snippets, configuration files, and links to external documentation
Example Configurations
docker-compose.yml
Full AVA SDK environment with vLLM
docker-compose.yml
1version: '3.8'
2services:
3 vllm:
4 image: vllm/vllm-openai:latest
5 runtime: nvidia
6 environment:
7 - NVIDIA_VISIBLE_DEVICES=all
8 volumes:
9 - ~/.cache/huggingface:/root/.cache/huggingface
10 ports:
11 - "8000:8000"
12 command: --model meta-llama/Meta-Llama-3.1-8B-Instruct --max-model-len 8192ava-config.yaml
Base AVA SDK configuration
ava-config.yaml
1inference:
2 engine: vllm
3 base_url: http://localhost:8000/v1
4 model: meta-llama/Meta-Llama-3.1-8B-Instruct
5 temperature: 0.7
6 max_tokens: 1024
7
8plugins:
9 directory: ./ava-sdk-plugins
10 auto_load: true
11
12system_prompt: |
13 You are AVA, an AI assistant specialized in gaming
14 and development. Respond clearly and concisely.Useful Links
LM Studio Guide
LM Studio integration guide for local inference
vLLM Documentation
Official inference engine documentation
Ray Documentation
Distributed computing framework
LlamaFactory GitHub
Open-source model fine-tuning
Razer AI
Official Razer product — AVA is now agentic
HuggingFace Models
Compatible model repository
NVIDIA Container Toolkit
GPU acceleration in Docker
Razer Blog — AVA Goes Agentic
New agentic capabilities announced at GDC 2026
AVA Hologram News
Latest news about Project AVA, beta, and releases
Razer AI Ecosystem
Article: AIKit, Forge AI, and custom avatar creation
AVA as Agentic AI
GDC 2026 coverage: autonomous workflows and agentic AI
Useful Commands
| Command | Description |
|---|---|
nvidia-smi | Check GPU status and VRAM |
docker ps | List active containers |
docker logs <container> | View vLLM server logs |
curl http://localhost:8000/v1/models | List available vLLM models |
df -h | Check disk space |
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