# SF Tensor **Source:** https://www.startuphub.ai/startups/sf-tensor **Profile type:** Startup > Infrastructure for AI labs to focus on research. ## About 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 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. ## Key facts - **Slug:** sf-tensor - **Website:** https://sf-tensor.com - **Location:** San Francisco, United States - **Founded:** 2025-01-01 - **Employees:** 4 - **Operating status:** Active - **Sectors / tags:** AI, GPU ## Frequently asked ### What does SF Tensor do? 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 why we're building two things. First, Elastic Cloud: a managed platform that automa… ### What is SF Tensor's revenue? StartupHub estimates SF Tensor's annual revenue at $876K (range $612K to $1.8M, 65% confidence), based on comparable companies in the sector. ### Where is SF Tensor headquartered? SF Tensor is headquartered in San Francisco, United States. ### When was SF Tensor founded? SF Tensor was founded in 2025. ### What industry does SF Tensor operate in? SF Tensor operates in AI, GPU. ### How many employees does SF Tensor have? SF Tensor has approximately 4 people on record. ## JSON-LD Structured data aligned with this page's `