MatX announces MatX One LLM chip and $500M Series B
The chip uses splittable systolic array for high throughput and low latency. Funding, led by Jane Street and Situational Awareness, supports development and manufacturing scale-up.
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High-throughput chips for large language models
matx.comLast updated
In short: MatX secured $500 million in Series B funding to scale the development and manufacturing of its specialized AI chips for large language models.
The chip uses splittable systolic array for high throughput and low latency. Funding, led by Jane Street and Situational Awareness, supports development and manufacturing scale-up.
Training with block quantized attention breaks causal modeling. They propose using unquantized P and V for block-diagonal tiles, validated by training 1B models showing no leakage gap.
It enables simple Rust deriving using macro_rules, replacing complex procedural macros. Offers low friction, high quality, composability, and faster compiles. Available on GitHub and crates.io.
Forces draft tokens to attend to the same context subset, restoring sparsity and achieving up to 3.5× higher operational intensity while preserving model quality.
MATSON INC has an Investment Rating of HOLD; a target price of $204.000000; an Industry Subrating of High; a Management Subrating of Medium; a Safety...
MATSON INC has an Investment Rating of HOLD; a target price of $194.000000; an Industry Subrating of High; a Management Subrating of Medium; a Safety...
MATSON INC has an Investment Rating of HOLD; a target price of $188.000000; an Industry Subrating of High; a Management Subrating of Medium; a Safety...
/PRNewswire/ -- Matson, Inc. ("Matson" or the "Company") (NYSE: MATX), a leading U.S. carrier in the Pacific, today reported net income of $56.6 million, or...
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