Artificial Analysis: Inference, Measured

​Inference is the critical step that shapes the speed, cost, and quality of every request your application makes. With new models releasing weekly, the infrastructure landscape is moving just as fast as the models themselves.

​Choosing an inference provider has many considerations including, speed, cost (incl. cache pricing discounts), latency, and day zero support for new models.

​Artificial Analysis benchmarks over 500 inference endpoints across speed, cost, latency, and quality. Our evaluations show output speeds for the same model vary by 15x across providers. For the same query, end-to-end response time can vary by up to 12×, while the cost difference between the cheapest and most expensive provider can exceed 3x.

​Join the Artificial Analysis team for an evening on AI inference. We’ll examine the key inference trends, unpack what the benchmark data reveals, and discuss what these differences mean for those building with AI.

​Who's in the Room:

​A mix of AI builders, developers, researchers, founders, and investors interested in the future of AI inference and how teams are deploying models in production.

​Agenda:

• ​6:00 PM: Check-in and networking

• ​6:30 PM: Artificial Analysis talks + Q&A

• ​7:30 PM: Networking, food, and drinks

• ​8:30 PM: Event ends

​Photography and videography disclaimer: By attending this event, you acknowledge that photography and videography may take place. If you do not consent, please contact the event host.