DriveNets Secures $410 Million in Series D Funding to Meet Surging Demand for Ethernet Fabrics in Large-Scale AI Deployments

Ra'anana, Israel - June 1, 2026: DriveNets, a leader in large-scale networking solutions, today announced the completion of a $410 million Series D funding round, bringing its total funding to $1 billion. Having maintained positive cash flow since 2025 and holding over $1 billion in booked business, the company will use the additional capital to expand inventory to meet the growing demand for AI fabrics and to scale its heterogeneous AI infrastructure solutions. The funding round was led by Bessemer Venture Partners and Atreides Management. New investors AMD and Red Dot Capital participated, alongside continued investments from existing backers Pitango and D1 Capital Partners.

Over the past decade, DriveNets' Network Cloud has been adopted as the backbone network by some of the world's largest telecommunications operators. Built on the same engineering foundation, DriveNets' Ethernet-based AI fabric powers the largest AI infrastructures deployed by foundation model research institutes, hyperscalers, neo-cloud companies, and large enterprises. The company is currently collaborating with major AI vendors such as AMD and Broadcom to further integrate networking and compute in multi-vendor AI environments. This initiative aims to maximize cluster performance and GPU utilization, significantly improving token economics. Additionally, DriveNets has partnered with system integrators like Dell and Supermicro for Go-to-Market activities.

DriveNets Network OS (DNOS): Addressing Every Use Case and Scale from SPs to Hyperscalers

Ido Susan, CEO and Co-founder of DriveNets, stated: "This funding marks a significant milestone in scaling our company to meet the surging demand for large-scale AI infrastructure. Today, the most expensive idle asset in the world is a GPU waiting for the network. Leveraging a decade of expertise in high-performance networking, we are helping our customers achieve higher utilization rates, lower per-workload costs, and efficiently scale AI operations regardless of the AI accelerators they choose."

Vamsi Boppana, Senior Vice President of AI at AMD, commented: "AI infrastructure is transitioning into a new era of open, integrated systems where compute, networking, and software scale together. Our support for DriveNets' Series D reflects a shared commitment to efficiently scale AI workloads in open and standards-based AI data centers, utilizing AMD Instinct accelerators and DriveNets' high-performance fabrics."

Solving the Most Expensive Idle Asset Problem: Network-Idled GPUs

DriveNets' AI fabric solutions are based on standard Ethernet, supporting scale-up, scale-out, and scale-across architectures, as well as front-end and storage connectivity for massive AI clusters. These solutions address two fundamental constraints in current AI infrastructure: first, large GPU clusters are unable to operate at peak efficiency due to network bottlenecks and reliability challenges; second, GPU assets are underutilized because cluster deployment takes too long, especially in multi-vendor environments—a challenge known as "Idle CapEx."

DriveNets' high-performance AI fabric eliminates network bottlenecks by implementing end-to-end network optimizations across the entire AI stack, including collective communication libraries, transport protocols, NICs, network fabrics, and system-level orchestration. Some of these optimizations have been developed in collaboration with leading AI accelerator vendors. A recently published validated reference architecture for clusters based on AMD and DriveNets demonstrates maximized GPU utilization, reduced cost per token, rapid deployment, and efficient end-to-end optimization.