SF Tensor YCアプリケーション

Fall 2025Active

SF TensorはFall 2025バッチでB2B企業としてY Combinatorを卒業しました。以下：会社の事業内容、創業者、そして実際のYCフォームで質問ごとに再構築されたYCへの応募内容。

YCバッチ: Fall 2025
業界: B2BInfrastructure
チーム規模: 6
ステータス: Active
ローンチ済み: 2025

創業者

Ben KoskaFounder
Luk KoskaFounder
Tom KoskaFounder

SF Tensorの事業内容

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 TensorのYCアプリケーション、再構築済み

Y Combinator 申請

SF Tensor 様、Fall 2025 バッチ。公開データから回答された、実際のフォームの質問。

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.

フルアプリケーションで21件の追加回答

はフルバージョンにあります。無料アカウントを作成して、他のすべてのYCバッチの横にあるYCインサイトで開いてください。

申請内容全体を見る

よくある質問

SF Tensorの実際のYCアプリケーションですか？

いいえ。Y Combinatorは提出されたアプリケーションを非公開にしています。これは再構築されたものです。実際のYCフォームの質問に、SF Tensorの公開データ（ローンチノート、創業者経歴、製品説明）から回答しています。SF Tensorのような会社がYCにどのようにアピールするかを示しており、彼らが提出したテキストではありません。