In the AI hardware competition, the network architecture connecting GPUs has become a new battleground. According to AIbase, AI network startup Upscale AI recently announced a $200 million Series A funding round. This round was led by Tiger Global and Premji Invest, aiming to challenge NVIDIA's dominance in rack-level AI system switches.
Upscale AI was established last year, backed by major supporters such as Intel, AMD, and Qualcomm. The company's core product is a custom ASIC chip called "SkyHammer." According to AIbase, this chip is designed for AI workloads and is intended to directly compete with the NVSwitch chips in NVIDIA's NVL72 rack. Although giants like Cisco and AMD are also trying to introduce alternatives (such as UALink), their technologies are still in early stages. However, Upscale plans to bring its products to market later this year.
To improve compatibility, Upscale adopts a memory-semantic load-store network architecture and supports two competing protocols, UALink and ESUN. According to AIbase, the company also plans to reduce management complexity for hyperscale customers by supporting the open-source network operating system SONiC. CEO Barun Kar said that with the new funding, the company will focus on delivering and deploying its products, aiming to achieve "de-NVIDIAization" in the critical area of AI network interconnection.
Key Points:
💰 Massive Funding Entry: Upscale AI secured $200 million in funding to develop an AI network switch chip that challenges NVIDIA's NVSwitch.
🚀 Self-developed SkyHammer Chip: Redesigning the network architecture for AI workloads, planning to launch customized silicon products supporting the UALink protocol within the year.
🌐 Breaking the Closed Ecosystem: By supporting the open-source system SONiC and various industry protocols, teaming up with allies like AMD and Qualcomm to counter NVIDIA's NVLink closed ecosystem.