- QIA Participates in SambaNova’s $1 Billion Series F Round, Valuing AI Chipmaker at $11 Billion
- The funding will accelerate the U.S. company’s AI infrastructure expansion as competition intensifies in the AI chip market
The Qatar Investment Authority (QIA) participated in the $1 billion first close of SambaNova’s Series F funding round, backing the U.S.-based AI chip and infrastructure company at a valuation of approximately $11 billion.
The round also attracted a group of leading global investors, including General Atlantic, T. Rowe Price, BlackRock, Intel Capital, Vista Equity Partners, and Seligman Ventures, highlighting continued institutional confidence in AI infrastructure companies amid growing demand for next-generation computing platforms.
Funding Momentum Within Five Months
The latest financing comes less than five months after SambaNova closed its Series E round, raising $350 million led by Vista Equity Partners and Cambium Capital, with participation from Intel Capital.
That funding was aimed at accelerating production of the company’s SN50 AI processor and expanding its SambaCloud platform.
The company’s rapid progression from a $350 million raise to a $1 billion funding round underscores investors’ growing appetite for AI infrastructure providers, particularly those developing alternatives to Nvidia’s GPUs for data center workloads.
Building a Full AI Infrastructure Stack
Beyond designing AI processors, SambaNova offers an integrated infrastructure platform that combines hardware, servers, software, and cloud services, positioning itself as a full-stack AI infrastructure provider.
The company is particularly focused on the AI inference market—the stage where trained AI models are deployed to generate outputs—which has become one of the fastest-growing segments of the AI industry as enterprises increasingly adopt generative AI applications.
SN50 Powers the Next Growth Phase
The funding coincides with the rollout of SambaNova’s SN50 processor, designed specifically to power Agentic AI applications with higher performance and improved energy efficiency.
According to the company, the new processor delivers superior inference performance while reducing operating costs compared to traditional GPU-based infrastructure, making it an attractive solution for enterprises deploying AI models at scale.
SoftBank and Intel Expand Strategic Partnerships
SambaNova also announced that SoftBank will become the first customer to deploy the SN50 processor across its AI data centers in Japan, supporting the company’s expansion into Asian markets.
In addition, the company has signed a multi-year strategic agreement with Intel to jointly develop AI inference solutions for data centers by combining the strengths of both companies’ computing and infrastructure technologies.
Funding to Scale Manufacturing and Global Expansion
SambaNova plans to use the new capital to expand production capacity, strengthen its supply chain, grow its cloud data center footprint, and accelerate research and development for future generations of its AI platform.
The investment comes as competition intensifies among AI chip startups seeking to reduce reliance on Nvidia by developing specialized processors optimized for large-scale AI workloads.
Growing Presence in Saudi Arabia
Alongside its global expansion, SambaNova has strengthened its presence in Saudi Arabia, announcing investments of approximately $140 million in the Kingdom and launching a sovereign AI cloud platform in partnership with stc.
The move aligns with Saudi Arabia’s efforts to build advanced AI infrastructure and reflects SambaNova’s strategy of targeting markets that are investing heavily in cloud computing and AI data centers.
Competition Shifts to AI Infrastructure
The latest funding round comes as companies including SambaNova, Groq, Cerebras, and d-Matrix compete to develop specialized AI processors that offer alternatives to Nvidia, focusing on improving performance while lowering the cost of deploying AI applications.
Industry analysts expect the next phase of competition to shift beyond large language models toward the infrastructure that powers them, driving continued investment into AI chipmakers and advanced computing platforms.
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