Western Digital

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Esperanto Technologies develops computing solutions for ML, AI, and deep learning (DL) applications based on the open standard RISC-V architecture. The company’s inference chip is designed to run any AI and non-AI workloads. The company converts trained models into an optimized package of code and data that runs on the architecture.The company's ET-SoC-1 Chip has over 1,000 RISC-V cores on a single TSMC 7 nm chip to deliver tensor and vector acceleration optimized for ML/DL workloads. The company’s distributed memory architecture places on-chip memory where it’s required to improve processing utilization and remove memory bandwidth bottlenecks. The company also offers the ET-Minion core, which adds extensions optimized for ML, and ET-Maxion, which runs on the Linux operating system and implements advanced features, including prefetching algorithms. Esperanto’s network on chip (NoC) distributes operands and results between cores, caches, memory, and I/O.The processor also connects to an on-die hardware subsystem to prevent unauthorized or corrupted firmware updates while tracking user activity inside the chip. In addition, the company provides a GenAI appliance based on RISC-V that enables developers to create and deploy purpose-built vertical applications. The GenAI appliance is an integrated software/hardware solution that can be installed in private data centers or at the enterprise edge. It is preloaded and self-contained, offering high levels of data privacy and lower total cost of ownership while eliminating the need for developers to constantly download, port, and tune the latest LLMs and diffusion models to GPU-based hardware.As of January 2023, Esperanto operated in the US, Spain, and the EU. Key customers and partnershipsIts notable customers include Samsung, IFS, and Cadence.Funding and financialsIn November 2018, the company raised USD 58 million in Series B funding from strategic and venture capital investors. The funds were used to accelerate product development of its first generation 7nm solutions.

Building future-ready applications in the cloud

Cloud-native Tech

Qumulo is a cloud-native data storage solution that helps users store and manage data across the cloud and edge.Qumulo’s Scale Anywhere data platform’s features include Qumulo for Cloud, which allows users to scale and drive critical workloads on the cloud of their choice: Qumulo for Data Center, which enables users to scale on the platform of their choice and provides performance options All-NVMe (Non-Volatile Memory Express) Nodes and Hybrid NVMe Nodes Qumulo for Edge which simplifies the ingestion and processing of data in one location (while running on the private, hybrid or multi-cloud) and moving them across clouds and on-premises with easeQumulo claims to be a breakthrough leader in simplified unstructured data management workloads at any scale by providing a single software solution to manage, store, and curate data in the cloud and core data centers and at the edge.Qumulo offers its products through direct sales and channel partners.Key customers and partnershipsQumulo has a 1,000+ global customer base across industries and sectors such as education, finance, healthcare, professional sports, public sector, media and entertainment, and technology. Some of its customers are Hexagon, SDSC, Lexington Medical Center, Cinesite, Eikon Therapeutics, Rodeo FX, and Arizona Public Media.Qumulo’s partners include public cloud providers Google Cloud, Microsoft Azure, and Amazon Web Services (AWS); hardware partners such as Fujitsu, Hewlett Packard Enterprise, Arrow, and Supermicro; and technology partners Rubrik, Veritas, iTernity, Commvault, Komprise, Netwrix, Arxscan, Arista, Western Digital, and Yadle.

Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision.

Today’s explosive data growth and rapidly expanding application workloads threaten to overwhelm datacenters, preventing organizations from harnessing AI/ML, 5G, big data analytics, IoT, and other modern applications they need to achieve their business goals. Accelerating these data-hungry, storage-intensive applications requires more application speed, storage capacity, data efficiency, and scalability than most organizations can afford, no matter how many CPUs and SSDs they add, or how much they expand their datacenter footprint. Just as GPUs overcome processing inefficiencies to accelerate artificial intelligence and advanced analytics performance, the breakthrough Pliops Extreme Data Processor (XDP) overcomes storage inefficiencies to massively accelerate performance and dramatically reduce overall infrastructure costs for databases, analytics, and machine learning. Delivered on an easy-to-deploy, low-profile PCIe card, the Pliops XDP radically simplifies the way data is processed and flash storage is managed. The result is an exponential increase in performance, reliability, capacity, and efficiency— multiplying the effectiveness of organizations’ infrastructure investments.

Esperanto Technologies develops massively parallel, high-performance, energy-efficient computing solutions for Generative Artificial Intelligence / Machine Learning / HPC based on the open standard RISC-V instruction set architecture. Initially designed to meet the performance, power and total cost of ownership (TCO) requirements of large-scale datacenter customers, Esperanto’s inference chip is a general purpose, parallel processing solution that can accelerate many parallelizable workloads. It is designed to run any machine learning (ML) workload well, and to excel at Generative AI, one of the most important emerging AI workloads in datacenter and near edge applications.

Barefoot Networks is a team of visionaries, experienced technologists and engineers who have created a blueprint for designing and operating the world’s fastest and most programmable networks. Their goal is to make programming your network as simple as programming your CPU.

Qumulo is the file data platform for multi-cloud environments, providing unrivaled freedom, control and real-time visibility for file data at massive scale. The Qumulo experience makes file data management simple with continuous new features, a single solution for all workloads, and access to customer success experts on your schedule.

Tegile Systems provides hybrid and all-flash storage arrays for a wide range of enterprise applications. The company flash storage arrays, with patented IntelliFlash architecture, deliver high I/O and low latency for business applications such as databases, server virtualization, and virtual desktops. Its customers achieve business acceleration and unmatched storage capacity reduction. Tegile Systems' mission is to accelerate the transformation of enterprise IT by changing the performance and economics of enterprise storage.

Kona Medical is committed to alleviating the suffering and health risks associated with drug-resistant hypertension with a more effective, less invasive approach to renal artery denervation. The company was founded in 2009 by Michael Gertner, MD, with seed financing from Essex Woodlands. Kona was formed on the basis of combining Dr. Gertner’s inventions in the field with the assets of Therus Corporation, a predecessor company in the field of therapeutic focused ultrasound.

Hitex can look back on more than 30 years of company history. After the success of the first in-circuit emulators, Hitex began marketing worldwide: the company founded a branch in Great Britain and is represented by sales partners in all other important regions of the globe.  In 1997, Hitex acquired the development tools branch of Kontron, thereby strengthening its position in the market.  Since the beginning of 2003, Hitex belongs to Infineon Technologies AG. This connection guarantees Hitex a solid and secure future and allows Hitex to maintain and extend its existing partnerships with other semiconductor manufacturers as an independent company.

Western Digital (WD) develops, manufactures, and sells data storage solutions. Its solutions enable consumers, businesses, governments, and other organizations to create, manage, experience, and preserve digital content.

<div> Western Digital Corporation (Nasdaq: WDC) is a leading American data storage company that designs, manufactures, and sells hard disk drives (HDDs), solid-state drives (SSDs), and flash storage solutions. Founded in 1970 and headquartered in San Jose, California, Western Digital has become one of the world's largest storage manufacturers through both organic growth and strategic acquisitions. Western Digital's product portfolio includes: <ul> <li> Hard disk drives (HDDs) for desktop computers, laptops, and enterprise storage systems </li> </ul> <ul> <li> Solid-state drives (SSDs) for consumer and enterprise applications </li> </ul> <ul> <li> Flash storage solutions including memory cards and USB drives </li> </ul> <ul> <li> Cloud storage and data center systems </li> </ul> <ul> <li> External storage devices for consumers and businesses </li> </ul> The company operates through two main segments - hard disk drives (HDD) and flash-based products (Flash). Western Digital's brands include WD, WD_BLACK, SanDisk, and SanDisk Professional. The company reported revenue of USD 3.76 billion for the first quarter of its fiscal year 2024 ended September 29, 2023. Western Digital has been adapting its strategy to capitalize on emerging trends like artificial intelligence and cloud computing. In August 2023, the company introduced an AI Data Cycle Storage Framework to help customers optimize their AI infrastructure. Western Digital is also developing advanced technologies like energy-assisted magnetic recording (EAMR) to increase HDD capacities. The company plans to separate its HDD and flash businesses into two independent public companies by the second half of calendar year 2024, aiming to unlock shareholder value and allow each business to pursue focused growth strategies. </div>

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