NextSilicon

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.

Traction 10/10

Tel Aviv, Israel · HQ

Founded 20172885K+ followers

Artificial Intelligence
Developer Tools
Enterprise Software
Hardware

Updated 23 months ago

Funding

Raised to date

$270MRaised 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.

Funding rounds are not available yet.

Founders

2 founders

Elad Raz

CEO

Eyal Nagar

Co-Founder/EVP Research and Development

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