Ventana develops high-performance RISC-V CPUs with extensible instruction sets, available as multi-core chiplets or core IP, tailored for demanding applications in cloud, data center, 5G, AI, and automotive sectors. Their technology enables rapid productization and cost-effective custom system designs, addressing the need for efficient and scalable processing solutions in modern computing environments.
Funding
$108M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern computing environments require efficient and scalable processing solutions to handle demanding applications in areas like cloud computing, data centers, 5G networks, artificial intelligence, and automotive systems. Existing CPU architectures may not offer the flexibility and customization needed to optimize performance for specific workloads in these diverse sectors.
Solution
Ventana Micro Systems provides high-performance RISC-V CPUs designed for data center and other demanding applications. These CPUs are available as multi-core chiplets or core IP, featuring extensible instruction sets that allow for domain-specific acceleration. Ventana's Veyron platform enables customers to build customized computing platforms optimized for AI, data center operations, automotive applications, 5G, and edge computing. The chiplet-based design reduces time-to-market and development costs, while the open RISC-V architecture fosters innovation and collaboration. The Veyron V2 platform offers performance competitive with the latest x86 and Arm processors, along with support for RVA23 and advanced virtualization.
Target Audience
The primary target audience includes companies in the cloud computing, data center, 5G, AI/ML, and automotive sectors seeking high-performance, customizable RISC-V processing solutions.
Features
- High-performance RISC-V CPU cores competitive with leading x86 and Arm architectures
- Available as multi-core chiplets or core IP for flexible integration
- Extensible instruction set architecture for domain-specific workload acceleration
- Veyron V2 platform with support for RVA23 and advanced virtualization capabilities
- Integrated vector unit and matrix math acceleration for AI workloads
- UCIe-based chiplet architecture for reduced time-to-market and cost
- Support for integration of custom accelerators and third-party IP
- Software Development Kit (SDK) with pre-validated software tools and building blocks