NVIDIA Shares Arcee AI Inference Case Study
latkins · x · 2026-07-15
The NVIDIA AI Infra account highlighted a case study from Arcee AI, a US-based AI lab that built its family of open models on NVIDIA Blackwell Ultra.
Key details shared include:
- The flagship MoE model Trinity-Large-Thinking underwent RL post-training using the NVIDIA NeMo open-source library;
- Agentic inference optimization was achieved via NVIDIA Dynamo, vLLM, and accelerated networking to reduce token costs;
- It served over 3T+ tokens on OpenRouter in the two months prior to launch;
- Costs were approximately $0.90 per 1 million output tokens;
- It ranked 2nd on PinchBench for open agentic models.
Overall, the post emphasizes NVIDIA's infrastructure support for open model inference and cost optimization.
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