Research Environment and Infrastructure
Research Environment and Infrastructure
AI Development and Research Environment
DGX Spark Environment
- NVIDIA DGX Spark: 2 units
- Processing Power: Capable of running large-scale LLMs in the 405B parameter class.
- Usage: Fully on-premise operation of open models such as GPT OSS120B, Meta Llama 3.1 405B, and DeepSeek V2 series.
Note: The supercomputer at Kyoto University uses NVIDIA A100 80GB SXM, which cannot operate open models exceeding 80GB.
Workstations
- PC with RTX 5070 Ti: VRAM 16GB / RAM 128GB
- Provides time-series calculation and high-performance local inference/development environment.
Secure Network Environment
- In addition to Kyoto University VPN, we have built our own VPN (private network).
- High-security remote access to laboratory PCs and AI-dedicated PCs is possible.
LLM Development System
- Closed LLMs: Professional utilization in secure environments.
- Open LLMs: General-purpose utilization and research development.
- Understanding characteristics of each LLM and clarifying pros and cons.
