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Rivos

Rivos is a semiconductor and systems company that develops RISC-V based compute platforms for data-centric and accelerated workloads in enterprise and cloud environments.

  • Design and development of RISC-V based high-performance Central Processing Unit (CPU) platforms for server and data center use (compute infrastructure).
  • Hardware-software co-design for data-intensive and accelerated computing, including support for complex workloads such as Artificial Intelligence (AI) and analytics (AI infrastructure).
  • System architecture and platform engineering for heterogeneous compute, memory, and Inference Orchestrator (IO) subsystems targeting cloud and on-premises (on-prem) deployments (data center infrastructure).
  • Support for open RISC-V instruction set architectures and associated toolchains, targeting organizations that want customizable compute platforms (processor and ISA ecosystems).
  • Collaboration with ecosystem partners around RISC-V based data center platforms, including software enablement and workload optimization (platform enablement services).

More About Rivos

Rivos focuses on building processor and system platforms based on the open RISC-V instruction set architecture for use in enterprise data centers, cloud environments, and other infrastructure contexts that require compute for data-intensive workloads. Its work centers on high-performance CPU designs and tightly integrated system architectures intended for tasks such as analytics, Machine Learning (ML), and other accelerated computing use cases. By aligning with the RISC-V ecosystem, the company targets organizations that want more control over their hardware-software stack than is possible with closed instruction set architectures.

The company’s offerings System Integration Testing (SIT) in the category of compute infrastructure for data centers, with an emphasis on RISC-V based CPUs and associated platform components. This includes multi-core and many-core processor designs, memory subsystems, and high-bandwidth IO interconnects engineered for server-class deployments. Enterprise and cloud users can apply such platforms to workloads that benefit from parallel processing, efficient vector or matrix computation, and scalability across racks or clusters of servers.

Rivos follows a hardware-software co-design approach in which processor microarchitecture, system-on-chip integration, firmware, compilers, and low-level software stacks are engineered in coordination. This approach is relevant for enterprises that want predictable performance on specific classes of workloads, such as AI inference and training, large-scale data processing, or other compute-intensive tasks. The use of the RISC-V ISA (processor and ISA ecosystems) connects Rivos platforms to a broader open tooling environment, including compilers, debuggers, and runtime libraries that support customization and optimization.

From an architecture perspective, Rivos targets heterogeneous compute setups where CPU cores, accelerators, and memory subsystems work together to support demanding workloads. This allows infrastructure teams and CTO organizations to position Rivos platforms alongside or in place of existing CPU architectures in data centers, often within Kubernetes-based or other containerized environments and modern DevOps workflows. The company’s focus on open ISA hardware is relevant for enterprises with long-term roadmaps that emphasize portability, supply chain optionality, and deep stack-level optimization.

Within a technology directory or marketplace taxonomy, Rivos fits into categories such as data center compute platforms, AI infrastructure, and RISC-V ecosystem solutions. Its core activity is the development of RISC-V based server-class processors and system platforms, along with the enablement software and ecosystem collaboration required for enterprise deployment. This positions Rivos as a vendor that infrastructure leaders may evaluate when planning next-generation compute strategies built on open instruction set architectures.

At-A-Glance

  • Employees: 300
  • Estimated Annual Revenue: $10M-$50M

Connect

Corporate Headquarters

3315 Scott Boulevard
4th Floor
Santa Clara, CA 95054

Market Segmentation

  • Type: Private
  • Sector: Industrials
  • Group: Capital Goods
  • Industry: Industrial Conglomerates
  • Sub-Industry: Industrials & Manufacturing