Tools

Explore

Videos Channels Figures

Atmrix

Tools

Explore

Videos Channels Figures

Atmrix

SC

Sequoia Capital Cast

05/12/25

@ Sequoia Capital

Fireworks excelled in scaling their model infrastructure to handle distributed inference effectively, preventing server overload and maintaining customer service during rapid growth.

Video

Will Open Source AI Overtake Closed Models? Ft. Olama, Fireworks and Open Router

@ Sequoia Capital

Will Open Source AI Overtake Closed Models? Ft. Olama, Fireworks and Open Router

05/12/25

Related Takeaways

Sequoia Capital Cast

05/12/25

@ Sequoia Capital

American companies had to adapt quickly to scale AI inference after their previous providers' servers failed, leading to significant growth for Fireworks in capturing inference metrics.

Lin Qiao

05/19/25

@ Sequoia Capital

At Fireworks, we manage the complexity of AI application scaling by utilizing a virtual cloud infrastructure that ensures high quality and reliability in GPU selection.

Dmytro Dzhulgakov

05/12/25

@ Sequoia Capital

I'm Dimma, co-founder of Fireworks, a platform that helps fine-tune and serve generative AI models at scale, and we strongly support open-source models.

Brad Lightcap

04/15/24

@ 20VC with Harry Stebbings

The scaling of models has worked consistently, and it's incredible that making these models bigger leads to predictable improvements in their performance.

Aaron Levie

02/20/25

@ Y Combinator

A company scaled to $12 million in revenue within a year by switching models multiple times, demonstrating that enterprises care more about workflow efficiency than the specific AI model used.

Michael Truell

06/11/25

@ Y Combinator

We realized that scaling laws in AI showed predictable improvements with increased data and compute, which encouraged us to focus on building a product for knowledge work as AI matured.

Guillermo Rauch

06/03/25

@ Accel

Companies like Nintendo have moved to Vercel, attributing their seamless scaling during high traffic events to our platform.

OpenAI Cast

04/11/25

@ OpenAI

We had to be very paranoid about scaling laws, ensuring that any wins from new features were persistent across different scales.

Olga Vidisheva

02/24/15

@ Y Combinator

We grew over 700% last year, and the site didn't crash once after bringing in the right team.