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MatX

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Location

Headquarters: Mountain View, California, United States, North America

Region: California

Country: US

Continent: North America

About

MatX designs hardware tailored for the world’s best AI models, focusing on high-throughput chips and optimized interconnects to maximize performance for large models. They target cost-efficient training and production inference for extremely large transformer-based models, offering scale-out capabilities across hundreds of thousands of chips and low-level hardware control for expert users. Their technology aims to enable faster access to state-of-the-art models and higher performance-per-dollar in data center AI workloads, with emphasis on 7B-class to 20B+-parameter dense and mixture-of-experts models and scalability to 10T-class models. Based on information presented, their operations appear global with emphasis on AI model training and inference hardware.

MatX designs high-performance hardware tailored for large AI models, focusing on high-throughput chips and optimized interconnects. The company targets AI labs and data centers, offering scale-out capabilities for training and inference of transformer-based models. Their technology aims to provide cost-efficient computing power for extremely large models.

Legal Name:

MatX Inc.

Founded:

2022

Company Type:

for_profit

Operating Status:

active

Industries

Primary Industry: Business Services

Computer Equipment & PeripheralsElectronicsCustom Software & IT ServicesBusiness ServicesManagement ConsultingResearch & Development

Categories

b2bservice-provider

Funding & Financials

Funding Stage:

Series A

Total Funding:

125000000

IPO Status:

private

Investors

Triatomic CapitalHarpoonSpark CapitalJohn CollisonNFDG VenturesSituational AwarenessPatrick CollisonMarvellAlchipJane Street Capital

Founders

Mike Gunter

Reiner Pope

Leadership

Reiner Pope — Founder and CEO

Mike Gunter — Founder and CTO

Avinash Mani — Chief Development Officer

Yasmin Razavi — board_member

Technology Stack

SPFIPhone / Mobile CompatibleViewport MetaCommon CrawlSSL by DefaultApple Mobile Web Clips IconHSTSU.S. Server LocationEuroLetsEncrypt

Products

SPIRe: A draft model designed to increase throughput in speculative decoding for large language models by combining sparse KV cache, pruned initialization, and feedback memory.

seqax: A minimalist, research-focused LLM codebase implemented in JAX, designed for small-to-medium scale pretraining research with explicit math, memory usage, and parallelism.

Sparse Multi Value Attention (SMVA): An attention mechanism that reduces KV cache memory bandwidth by using one key head and multiple sparsely accessed value heads to maintain model quality while lowering resource demands.

Funding rounds

Series B · $500M · (2026-02-24) · Lead: Jane Street Capital,Situational Awareness

Series A · $100M · (2024-11-22) · Lead: Spark Capital

Seed · $25M · (2024-03-26) · Lead: Nat Friedman

Connect

LinkedInTwitter / XCrunchbase

Connect

LinkedInTwitter / X

Open positions

  • MatX logo
    Rust EngineerFull-timeHybridMountain View, CA120,000–475,000 / Year

View all MatX jobs on Pulse Job

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