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General Compute secured a $400M loan from Upper90 using inference-specific SambaNova chips as collateral, signaling a shift in AI infrastructure financing toward cheaper, more efficient inference hardware amid growing demand for open-source models.
SambaNova raises $1 billion at an $11 billion valuation to challenge Nvidia in AI inference chips, with JPMorgan deploying its on-premise systems and an IPO likely in 2027.
SambaNova Systems raised $1 billion at an $11 billion valuation in a Series F round led by General Atlantic, just five months after its $350 million Series E and SN50 chip launch, reflecting strong demand for enterprise AI inference infrastructure.
ACE (Agentic Context Engineering) introduces a framework that treats contexts as evolving playbooks, preventing context collapse and improving performance on agent and domain-specific benchmarks. The work highlights the potential of harness engineering as a data engine for model training.
Recent advancements in AI hardware, including custom chips from OpenAI, Etched, Amazon, and SambaNova, mark a significant shift towards specialized ASICs for AI workloads, promising major efficiency gains and challenging Nvidia's dominance.
Santiago (@svpino) highlights MiniMax-M2.7, a 230B open-weight model that rivals top proprietary models like Opus 4.6 and GPT-5.4, achieving 440+ tokens/s inference on SambaNova at low cost.