Ampere Computing
Ampere Computing Holdings LLC is a semiconductor design company based in Santa Clara, California, specializing in high-performance, energy-efficient processors for cloud computing and edge applications. The company offers a range of ARM-based processors, including the Ampere Altra, which features up to 128 cores and is optimized for cloud-native and artificial intelligence workloads. Additionally, Ampere provides the Ampere eMAG, a custom-designed multicore processor aimed at large-scale public and private cloud environments. With a focus on enabling efficient memory throughput and low total cost of ownership, Ampere Computing supports data centers in delivering memory-intensive applications such as artificial intelligence, big data, and machine learning. The company has additional offices in Portland, Oregon, and Taipei, Taiwan, along with design locations in Bengaluru, India; Raleigh, North Carolina; and Ho Chi Minh City, Vietnam.
Rigetti Computing
Post in 2022
Rigetti Computing is a full-stack quantum computing company that designs and manufactures quantum-integrated circuits, deploying them in low-temperature environments. The company develops proprietary control systems to execute quantum logic operations and has created software to integrate its quantum systems with existing cloud infrastructure. Rigetti's innovations include the industry's first multi-chip quantum processor, which enables scalability in quantum computing systems. The company focuses on practical applications of quantum computing, particularly in computational chemistry and machine learning, and offers the Forest platform, a comprehensive programming and execution environment for quantum and classical computing. Most of its revenue is generated from the United States.
OnSpecta
Acquisition in 2021
OnSpecta is a software development company that specializes in optimizing deep learning inference applications. Its primary product, a deep learning software (DLS) optimization engine, enhances the performance of AI inference workloads across various processors and frameworks, including both cloud and edge environments. By optimizing trained networks for specific deployment conditions, OnSpecta's software significantly accelerates inference performance while simultaneously reducing power consumption, memory usage, and operational costs. This enables clients to expedite their neural network processing capabilities, making OnSpecta a valuable partner for organizations looking to improve their AI deployment efficiency.
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