NextSilicon's Maverick-2 Intelligent Compute Accelerator (ICA) utilizes software-defined hardware to dynamically optimize performance for high-performance computing (HPC) and artificial intelligence (AI) workloads. This technology eliminates the need for extensive code rewrites, significantly reducing development time and enabling faster insights across various applications.
Funding
$270M 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.
TPFounders
Product
Problem
High-performance computing (HPC) and artificial intelligence (AI) workloads demand specialized hardware acceleration, but traditional solutions often require extensive code rewrites and porting efforts, leading to prolonged development cycles. Existing CPU and GPU architectures may not efficiently adapt to the evolving and diverse needs of these workloads.
Solution
NextSilicon's Maverick-2 Intelligent Compute Accelerator (ICA) offers a software-defined hardware solution that dynamically optimizes performance for HPC and AI applications. This architecture eliminates the need for extensive code modifications by natively supporting popular languages like C/C++, FORTRAN, OpenMP, and Kokkos. The ICA dynamically adapts and reconfigures its hardware to meet the specific demands of HPC and AI workloads, providing efficient, workload-specific performance with the flexibility to adapt to future requirements.
Target Audience
The primary target audience includes scientists, researchers, and engineers in industries such as energy, finance, life sciences, and manufacturing who require high-performance computing resources for AI and simulation workloads.
Features
- Software-defined hardware that dynamically adapts to HPC and AI workloads
- Native support for C/C++, FORTRAN, OpenMP, and Kokkos, eliminating the need for domain-specific languages
- User-friendly developer toolchain to accelerate innovation and reduce time-to-science
- Real-time optimization for efficient performance at scale
- Adaptable architecture for energy, fintech, life sciences, AI/ML, graph analytics, and manufacturing applications