AI inference
Coverage of AI inference in the Nexus archive.
- SambaNova raised $1 billion at an $11 billion valuation as investors back Nvidia challengers
SambaNova secured $1 billion in funding at an $11 billion valuation as investors support its challenge to Nvidia. General Atlantic led the investment round, and JPMorgan Chase became a customer to use SambaNova's chips for on-premises AI inference.
- OpenAI is unveiling its first custom-built AI chip, designed with Broadcom
OpenAI is unveiling its first custom-built AI chip designed for AI inference in collaboration with Broadcom. The chip offers cost savings of approximately 50% compared to typical AI GPUs, according to Broadcom's CEO.
- An AI voice startup cuts pricing by more than 50% to help consumer startups survive
Inworld, an AI voice startup, is cutting its AI model prices by over 50% to help consumer AI startups combat rising inference costs. Consumer startups face profitability challenges as usage grows due to high costs, while larger AI companies leverage market power to control expenses.
- Cerebras CEO on Delivering AI Inference at Scale
Cerebras CEO discusses delivering AI inference at scale. The article focuses on advancements in AI technology and organizational strategies for large-scale implementation.
- Nvidia unveils new ‘superchip’ for AI-driven home computing
Nvidia unveiled a new 'superchip' designed for AI-driven home computing, enabling local AI model execution and shifting user interaction from traditional interfaces to AI agents. CEO Jensen Huang envisions AI supercomputers in homes, while Intel plans a cheaper AI chip focused on inference rather than training.
- After Nvidia’s $20B not-aqui-hire, AI chip startup Groq reportedly raising $650M
Chipmaker Groq is seeking to raise $650 million in internal funding as it shifts focus to AI inference, following Nvidia's $20B not-aqui-hire. The pivot emphasizes refining AI models' responses to prompted requests.
- Intel bets the farm on AI inference to drag CPU back to the top table
Intel is investing heavily in AI inference and agentic workloads to revive the CPU's relevance in computing, despite ongoing challenges in chip manufacturing. The company aims to leverage AI-driven applications like robots and edge devices to reposition CPUs as central to next-generation compute.