Lamb Labs YC 申请
London
Lamb Labs 在 Summer 2026 批次的 Y Combinator 中作为一家 B2B 公司进行过。以下是：公司做什么、谁创立了它，以及其 YC 申请，按照真实 YC 表格逐题重建。
- YC 批次
- Summer 2026
- 行业
- B2B
- 地点
- London
- 状态
- Active
- 已发布
- 2026
创始人
Niki KotechaFounder/CEO
Thomas LanningFounder/CTO
Lamb Labs 做什么
Lamb Labs is building MPUs (Model Processing Units), custom chips that hardcode LLM weights directly into the chip. Unlike GPUs, which move weights between memory and compute, MPUs keep the model on-chip, targeting up to 20,000+ tok/s and a 63× higher intelligence per watt.
Lamb Labs 的 YC 申请，重建版
Y Combinator 申请
Lamb Labs，Summer 2026 期。来自公开数据的真实申请问题解答。
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Lamb Labs
Lightning fast chips with hardcoded AI models
We are building Model Processing Units - chips that directly store LLM weights on silicon, so model inference runs entirely on-chip. Unlike GPUs, which constantly shuttle weights back and forth from memory to compute, our MPUs keep everything local. This lets us hit over 20,000 tokens per second and deliver much higher efficiency per watt. Our customers are companies running large AI models at scale, looking for both speed and lower costs.
We live in London, England, United Kingdom, and the company will stay based here after YC.
Our team is in London, and the hardware and AI ecosystem here is strong for what we're building. It's where we can most easily work with partners and continue development.
21 更多回答 在完整申请中
Founders, Progress, Idea, Equity, Curious, Batch Preference 包含在完整版中。创建免费账户即可在 YC Insights 中打开，紧邻每个其他 YC 批次。
常见问题解答
这是 Lamb Labs 的真实 YC 申请吗？
不是。Y Combinator 对提交的申请保密。这是重建版：使用 Lamb Labs 的公开数据（发布笔记、创始人背景、产品描述）回答真实的 YC 表格问题。它展示了像 Lamb Labs 这样的公司会如何向 YC 自我介绍，而不是他们提交的文本。
Lamb Labs 是哪个 YC 批次的？
Lamb Labs 是 Y Combinator Summer 2026 批次的成员。
谁创立了 Lamb Labs？
Lamb Labs 由 Niki Kotecha, Thomas Lanning 创立。
Lamb Labs 做什么？
Lightning fast chips with hardcoded AI models
如何阅读完整的重建申请？
创建免费的 Round Funded 账户。YC Insights 中包含 Lamb Labs 的完整 26 个问题的版本，以及其他所有 YC 批次的公司信息。
更多 YC 初创公司，例如 Lamb Labs
