Aplicación YC de SF Tensor
SF Tensor pasó por Y Combinator en el batch Fall 2025 como una empresa de B2B. Abajo: qué hace la empresa, quién la fundó y su aplicación a YC, reconstruida pregunta por pregunta en el formulario real de YC.
- Batch YC
- Fall 2025
- Industria
- B2BInfrastructure
- Tamaño del equipo
- 6
- Estado
- Active
- Lanzado
- 2025
Fundadores
Ben KoskaFounder
Luk KoskaFounder
Tom KoskaFounder
Lo que hace SF Tensor
AI researchers should be pushing the boundaries of what's possible with new architectures and training methods. Instead, they waste weeks configuring cloud infrastructure, debugging distributed systems, and optimizing their GPU code. We know because we lived it: While training our own models across thousands of GPUs earlier this year, we spent more time fighting our infrastructure than doing actual research. That's why we're building two things. First, Elastic Cloud: a managed platform that automatically finds the cheapest GPUs across all providers, handles spot instance preemption, and cuts compute costs by up to 80%. Second, automatic kernel optimization that makes training code run faster by modeling hardware topology, often beating hand-tuned implementations. The problem is that getting high performance across different hardware is genuinely hard. NVIDIA's CUDA moat exists because writing fast kernels requires deep expertise. Most teams either accept vendor lock-in or hire expensive kernel engineers. Our goal is to break the CUDA moat. The compute bottleneck is the biggest constraint on AI progress. NVIDIA can't manufacture enough GPUs, and their monopoly keeps prices astronomical. Meanwhile, AMD, Google, and Amazon are shipping capable alternative hardware that nobody uses because the software is too hard. We're breaking that moat. If we succeed, anyone will be able to train state-of-the-art models without thinking past their PyTorch code.
Aplicación YC de SF Tensor, reconstruida
Solicitud de Y Combinator
SF Tensor, batch Fall 2025. Las preguntas reales del formulario, respondidas con datos públicos.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
SF Tensor
Infrastructure for AI labs to focus on research
We're building two core products. First, Elastic Cloud, a managed platform that automatically finds the cheapest GPUs across cloud providers, handles spot instance interruptions, and cuts compute costs by up to 80%. Second, automatic kernel optimization that models hardware topology to speed up training code, often surpassing hand-tuned implementations. Our goal is to remove infrastructure friction so AI researchers can spend more time experimenting and less time on system ops.
We do not have a set company location; our team is distributed. We expect to remain remote after YC.
Because our work is mostly software infrastructure targeting global AI labs, we do not depend on location. Remote lets us access talent and collaborate with AI researchers worldwide.
21 respuestas más en la aplicación completa
están en la versión completa. Crea una cuenta gratuita para abrirla en YC Insights, junto a cada otro batch de YC.
Preguntas Frecuentes
¿Es esta la aplicación YC real de SF Tensor?
No. Y Combinator mantiene privadas las aplicaciones enviadas. Esta es una reconstrucción: las preguntas reales del formulario de YC, respondidas a partir de los datos públicos de SF Tensor (notas de lanzamiento, antecedentes de fundadores, descripción del producto). Muestra cómo una empresa como SF Tensor se presentaría a YC, no el texto que enviaron.
¿En qué batch de YC estuvo SF Tensor?
SF Tensor formó parte del batch Fall 2025 de Y Combinator.
¿Quién fundó SF Tensor?
SF Tensor fue fundado por Ben Koska, Luk Koska, Tom Koska.
¿A qué se dedica SF Tensor?
Infrastructure for AI labs to focus on research.
¿Cómo leo la aplicación completa reconstruida?
Crea una cuenta gratuita de Round Funded. La versión completa de 26 respuestas de la aplicación de SF Tensor, y de cada otro batch de YC, está en YC Insights.
