Lightbits Labs provides a software‑defined block storage platform built on NVMe‑over‑TCP that runs on commodity servers, delivering low‑latency, high‑performance access for AI inference, analytics, and transactional workloads. The solution reduces capital and operational costs, eliminates vendor lock‑in, and simplifies day‑2 operations, while the LightInferra KV cache further accelerates AI workloads.
Funding
$42M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OAMFounders
Product
Problem
Enterprises with private cloud or AI workloads often rely on traditional storage solutions such as Ceph that require complex management, incur high operational costs, and cannot fully exploit low‑latency networks, leading to limited performance and inflexible hardware choices.
Solution
Lightbits Labs offers a software‑defined block storage platform built on NVMe‑over‑TCP, delivering disaggregated storage that runs on commodity hardware. By moving the storage stack to software, the solution reduces both capital and operational expenditures while providing predictable low‑latency access for demanding workloads like LLM inference, analytics, and transactional databases. The platform integrates with existing infrastructure, eliminates vendor lock‑in, and simplifies day‑2 operations through a leaner NVMe/TCP stack and automated management tools. When combined with LightInferra’s KV cache engine, it further accelerates AI inference workloads, maximizing hardware efficiency and data‑center footprint.
Target Audience
Primary customers are large enterprises, cloud service providers, and AI‑focused organizations that require high‑performance, low‑latency block storage for private cloud, analytics, and large language model inference workloads.
Features
- NVMe‑over‑TCP protocol for high‑performance, low‑latency block access over standard Ethernet networks
- Software‑defined architecture that runs on industry‑standard commodity servers, enabling flexible hardware selection
- Integrated KV cache engine (LightInferra) optimized for AI inference and analytics workloads
- Predictable day‑2 operations with reduced SRE effort and automated management
- Up to 16× performance improvement compared to traditional Ceph deployments
- Up to 50% lower total cost of ownership through optimized OpEx/CapEx and reduced datacenter footprint
- Zero vendor lock‑in with open, disaggregated storage design