SF Tensor YC 지원서

Fall 2025Active

SF Tensor은(는) Fall 2025 배치에서 B2B 회사로 Y Combinator를 거쳤습니다. 아래에는 회사의 사업 내용, 창립자, 그리고 실제 YC 양식에 맞춰 재구성한 YC 지원서가 있습니다.

YC 배치: Fall 2025
산업: B2BInfrastructure
팀 규모: 6
상태: Active
출시됨: 2025

창업자

Ben KoskaFounder
Luk KoskaFounder
Tom KoskaFounder

SF Tensor의 사업 내용

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.

SF Tensor의 YC 지원서, 재구성됨

Y Combinator 지원

SF Tensor, Fall 2025 기수. 공개 데이터를 기반으로 작성된 실제 지원 질문.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

SF Tensor

Describe what your company does in 50 characters or less.

Infrastructure for AI labs to focus on research

What is your company going to make? Please describe your product and what it does or will do.

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.

Where do you live now, and where would the company be based after YC?

We do not have a set company location; our team is distributed. We expect to remain remote after YC.

Explain your decision regarding location.

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.

전체 지원서에서 21개의 추가 답변

Founders, Progress, Idea, Equity, Curious, Batch Preference는 전체 버전에 있습니다. 무료 계정을 만들어 YC Insights에서 모든 YC 배치 옆에 열어보세요.

전체 지원 보기

자주 묻는 질문

SF Tensor의 실제 YC 지원서인가요?

아닙니다. Y Combinator는 제출된 지원서를 비공개로 유지합니다. 이것은 재구성된 것입니다. 실제 YC 양식 질문에 SF Tensor의 공개 데이터(출시 노트, 창업자 배경, 제품 설명)를 기반으로 답변했습니다. SF Tensor과 같은 회사가 YC에 어떻게 자신을 소개하는지 보여주며, 그들이 제출한 텍스트는 아닙니다.