Standard Kernel
Building AI infrastructure with AI
Palo Alto, United States · Founded 2025 · $20.0M raised
- Headquarters
- Palo Alto, California
- Employees
- 1–10
- Founded
- 2025
- Business Model
- B2B
- Website
- standardkernel.com
- Total Funding
- $20.0M
- Last Round
- $20.0M SeedMar 2026
- Rounds
- 1
About
Standard Kernel Co. builds AI infrastructure with AI, focusing on the automated generation and optimization of GPU kernels — the low-level code that executes computations on hardware accelerators like GPUs and TPUs. The company's platform generates high-performance kernels at the CUDA+PTX level, enabling full exploitation of hardware features such as tensor cores and tensor memory accelerators without relying on higher-level abstractions like Triton. Standard Kernel's benchmarks show results matching or exceeding hand-optimized libraries including cuBLAS and FlashAttention3. The team, with backgrounds from Stanford, MIT, UIUC, and industry experience at NVIDIA, raised a $20M seed round led by Jump Capital in March 2026.
Summary
Standard Kernel is an Artificial Intelligence company based in Palo Alto, United States, founded in 2025. It has raised $20.0M in total across 1 round, most recently a $20.0M Seed round in Mar 2026.
Tech & App Stack
2 technologies & apps tracked
Create a free account — 10 credits a month to unlock the full tech & app stack, funding history, and valuations.
Sign up to view the funding chart
Create a free account — you'll get 10 credits a month to unlock funding history, valuations, and tech stacks.
Funding History
Mar 2026
Similar Companies
Cursor is the best way to code with AI, and built to make you extraordinarily productive.
AI pioneer startup that could make it big in 2026
Provides AI inference hardware and cloud platform for enterprises, using RDUs and SambaCloud to r...

UiPath is an AI-enhanced end-to-end automation platform.
ML inference infrastructure for deploying and serving AI models at scale, performantly and cost-e...

AI hardware company building wafer-scale processors for deep learning training and inference