Where Are Inference Engines Going?
Here’s what Yujing Qian, our VP of Engineering, predicts:
- Exponential sector growth as applications emerge: The shift from pre-training to inference marks an inflection point as businesses prioritize inference-ready solutions for immediate application.
- Video models and reasoning will drive demand: Inference traffic for video models will increase as reasoning continues to be in demand. Platforms providing inferencing API services like GMI Cloud will shift to accommodate these shifts.
- Under-explored opportunities in reinforcement learning: Reinforcement learning for business-specific fine-tuning is highly promising, but this feels underutilized. We expect early movers to succeed while major players evaluate the subject matter.
- Inference infrastructure versatility remains dominant: What will not change is the need for versatile infrastructure capable of hosting diverse workloads to meet the requirements of various inference needs, whether it be language, video, or something more.
Read more here: Inference Engines Unleashed: The Driving Force Behind AI Growth | GMI Cloud blog