Arrcus Secures $30M for AI-Driven Distributed Networking, Partners with Nvidia

Arrcus, a hyperscale networking software and infrastructure company, has raised $30 million from investors including Nvidia, Prosperity7 Ventures, Hitachi Ventures, General Catalyst, Liberty Global, Lightspeed, and Clear Ventures, bringing its total funding to $154 million.

Addressing the need for efficient distributed networking: Arrcus aims to improve the efficiency of compute infrastructure by providing distributed networking solutions for data centers, edge computing, and multi-cloud environments:

• The company’s Arrcus Connected Edge (ACE) platform features a flexible, high-performance, and scalable distributed microservices architecture that enables a wide range of use cases.
• ACE is deployable on various form factors, including data processing units (DPUs), merchant silicon, and compute, making it adaptable to different networking needs.

Collaboration with Nvidia for AI-driven networking: Arrcus is collaborating with Nvidia to deliver high-performance, secure, and cost-efficient data center networking for accelerated computing applications:

• Arrcus’ ACE platform, leveraging Nvidia’s BlueField DPU, allows customers to efficiently offload, accelerate, and isolate compute-intensive networking applications, such as security and traffic engineering.
• This collaboration can help extend AI data center architectures to distributed configurations supported by modular designs like the Nvidia MGX platform, enabling customers to achieve higher utilization and power efficiency for compute-intensive workloads.

Investor confidence and growth opportunities: The growing investor interest in Arrcus reflects the company’s success with leading Fortune 500 and Global 2000 customers:

• The new funding will enable Arrcus to expand platform support, accelerate growth, and continue delivering cost-effective and transformational networking solutions to customers worldwide.
• Arrcus targets data center, 5G, edge, and hybrid/multi-cloud environments across enterprise, cloud, and network operators, positioning itself to capitalize on the evolving needs of modern networks in the era of AI.

Broader implications: Arrcus’ innovative approach to distributed networking and its collaboration with industry leaders like Nvidia highlight the increasing importance of flexible and efficient networking solutions in the age of AI and data-intensive applications. As more organizations adopt AI and edge computing, the demand for scalable, high-performance networking infrastructure that can seamlessly integrate with leading hardware platforms is expected to grow, creating significant opportunities for companies like Arrcus to drive the evolution of modern networking.