Rivos Inc.

Overview

Rivos Inc. is a semiconductor and software company based in Santa Clara, California, specializing in high-performance, energy-efficient server solutions built on the open RISC-V architecture. Founded in May 2021, the company develops scalable System-on-Chip (SoC) solutions, including PCIe cards and OCP modular servers, designed to support AI workloads, large language models (LLMs), and data analytics.

Offering a full-stack platform that integrates custom RISC-V CPUs with proprietary GPGPU accelerators, Rivos focuses on flexibility, power efficiency, and seamless deployment of AI models. Their clientele includes enterprise data centers, cloud service providers, and AI developers. Backed by significant funding and a team of experts, the company champions an open ethos to foster innovation and meet the evolving needs of the AI landscape.

Basic Information

Contact Details

• Phone: +1 408-412-1530
• Website: rivosinc.com
• LinkedIn: linkedin.com/company/rivos-inc

Key Focus Areas & Initiatives

• Computer hardware manufacturing
• AI training
• Unified memory
• Multi-chiplet architecture
• Artificial intelligence
• Liquid cooling
• Security
• Full-stack AI solutions
• Cloud AI
• High bandwidth interconnect
• TCO reduction
• AI workloads optimization
• Custom silicon design
• Open hardware ecosystem
• RISC-V
• High-performance servers
• DDR5 memory
• Interoperability
• Data analytics
• Information technology and services
• Air cooling
• Machine learning
• Flexible hardware
• Scalable rack systems
• Heterogeneous compute architecture
• Frameworks
• Performance and power balance
• Unified software stack
• AI training and inference
• Air-cooled AI solutions
• Large-scale AI applications
• Cloud computing
• HBM3E memory
• Performance scalability
• Industry-standard APIs
• High bandwidth memory
• Linux
• Programmability
• Cloud solutions
• Unified memory system
• Hardware-software integration
• Energy-efficient computing
• AI model support
• Heterogeneous compute
• Industry-standard frameworks
• Custom silicon
• Security features
• Power efficiency
• High-density PCIe boards
• Custom CPU and GPU integration
• Open hardware
• Retrieval-augmented generation
• Energy-efficient AI
• Performance optimization
• Accelerated computing
• Multi-chiplet SoCs
• RISC-V ISA
• Real-time inference
• Performance and energy efficiency
• Agentic AI
• AI lifecycle management
• Customer experience
• Scalable AI infrastructure
• Open source software
• Enterprise AI
• High-performance computing
• AI server solutions
• AI data analytics
• AI workload optimization
• Model fine-tuning
• Next-generation data center hardware
• PCIe cards
• AI model lifecycle support
• Air-cooled AI servers
• Full-stack solutions
• Flexible AI infrastructure
• AI hardware
• Next-generation data centers
• Open-source software
• Open-source software frameworks
• Scalable AI data analytics
• Ethernet networking
• Energy-efficient data centers
• Liquid-cooled AI solutions
• GPGPU accelerators
• Scalable AI platform
• Computer and peripheral equipment manufacturing
• Data center equipment
• Data center AI
• Enterprise software
• Liquid cooling solutions
• Secure server solutions
• On-premises deployment
• Industry standards
• Cloud deployment
• Server solutions
• Performance portability
• Software stack
• Software development
• Programmable AI platform
• Cloud infrastructure
• Data quality
• Open hardware standards
• Self-hosted AI appliances
• Software compatibility
• AI inference
• RISC-V CPU
• High performance
• Power efficient
• Secure servers
• Open source
• Generative AI
• Multi-chip systems
• Firmware stack
• Application deployment
• Optimized chips
• Data parallel accelerator
• Total cost of ownership
• Modular hardware
• Firmware customization
• TCO benefits
• Memory optimization
• CPU integration
• Performance monitoring
• Confidential computing
• Root of trust
• Security standards
• Databases integration
• Enterprise solutions
• Silicon design
• Continuous integration
• Performance analysis
• Workload-defined hardware
• Data-intensive applications
• Open ecosystem
• Backend processors
• Parallel computing
• Server architecture
• Hardware acceleration
• Engineering talent
• Multi-core processors
• High bandwidth
• System on chip
• Software frameworks
• Application performance
• Technology leadership
• Market expansion
• AI models
• Open source software initiatives
• Distribution
• Energy & utilities
• Information technology & services
• Enterprises
• Computer software
• Environmental services
• Renewables & environment
• Internet infrastructure
• Internet

Technologies Used

• Amazon AWS
• Gmail
• Google Apps
• Google Tag Manager
• Lever
• Mobile Friendly
• Remote

Affiliated Organizations & Regional Branches

• Meta