hardware-acceleration
(3)
DualBird
DualBird is a Boston-based data infrastructure company building a cloud-native engine that brings hardware-grade acceleration to big data and AI workloads. By running rewritable FPGA silicon on AWS as a software service, DualBird plugs into existing Apache Spark and Apache Iceberg pipelines and claims 10-100x faster processing at 50-90% lower cost, without asking teams to change their code or workflows. The company raised $25M in combined Seed and Series A funding led by Lightspeed Venture Partners in November 2025.
Fabric Cryptography
Fabric Cryptography is a San Francisco hardware startup building the Verifiable Processing Unit (VPU) - a fully programmable custom-silicon chip with an instruction set designed specifically for advanced cryptography. Founded in 2021 by Michael Gao, Tina Ju, and Sagar Reddy, Fabric aims to do for cryptography what Nvidia did for AI: dramatically accelerate workloads like zero-knowledge proofs, fully homomorphic encryption, and multi-party computation compared with CPUs, GPUs, and fixed-function accelerators. The company has raised $39M total, including a $33M Series A in August 2024 co-led by Blockchain Capital and 1kx.
Grovf
Grovf is a deep-tech semiconductor startup building AI infrastructure backend networking - RDMA and chiplet IP, soft IP cores, and scale-out NICs that connect AI accelerator servers at 400/800Gbps with sub-2-microsecond latency. Founded in 2017 in Armenia by Artavazd Khachatryan and Khachik Sahakyan, the company began with FPGA-accelerated databases for the Industrial IoT and evolved into networking fabric for large-scale AI model training. Grovf was the first company from Armenia and the Caucasus to win an EU Horizon 2020 SME Instrument grant, and went through UC Berkeley's SkyDeck accelerator.