SambaNova Systems raises $1B at $11B valuation, names JPMorgan as AI inference partner

• SambaNova Systems raised $1 billion in a Series F funding round.
• SambaNova Systems achieved an $11 billion post-money valuation.
• General Atlantic led the Series F funding round for SambaNova Systems.
• SambaNova Systems partnered with JPMorgan Chase for AI inference infrastructure.
• Perplexity AI will use Nvidia's new CPUs for AI agent coding tasks.
• Perplexity AI found Nvidia's new CPUs to be 1.5 times faster than traditional CPUs.
• Nvidia aims to diversify its sales with generic computing chips.

SambaNova Systems has announced a significant Series F funding round, raising $1 billion and achieving a post-money valuation of $11 billion. The funding round was led by General Atlantic. Alongside this financial milestone, SambaNova Systems has established a strategic partnership with JPMorgan Chase. This collaboration will focus on developing and implementing AI inference infrastructure. The partnership aims to leverage SambaNova's technology for advanced AI applications within JPMorgan Chase's operations.

In parallel, AI startup Perplexity AI has revealed its intention to integrate Nvidia's newly developed central processing units (CPUs) into its operations. Perplexity AI will utilize these Nvidia CPUs for its AI agent coding tasks. Initial testing indicates that these new CPUs offer a substantial performance improvement, running 1.5 times faster than traditional CPUs for these specific workloads. This move by Perplexity AI highlights the growing demand for specialized hardware solutions to accelerate AI development and deployment.

Nvidia's strategy behind developing these new CPUs appears to be a diversification of its sales channels. By offering these generic computing chips, Nvidia aims to capture a broader market segment beyond its traditional focus on graphics processing units (GPUs) for AI training. This expansion into general-purpose computing hardware could open up new revenue streams and solidify Nvidia's position across various facets of the AI ecosystem.