September 10, 2025
NVIDIA has recently acquired Solver, an AI programming startup founded in 2022, as part of its strategy to strengthen its integrated ecosystem of hardware, software, and cloud services for AI development. The move is also expected to further advance the adoption of CUDA, NVIDIA AI Enterprise, and other software applications.
By lowering the barriers to AI application development, NVIDIA aims to enable more businesses to build and deploy AI-driven services with ease, thereby driving greater demand for its GPUs—a sales model that has already become central to the company’s growth. Continuous acquisitions of software technologies now stand as a cornerstone of NVIDIA’s long-term strategy.
Founded in San Jose by Daniel Lord and Mark Gabel, Solver originally operated as Laredo Labs, an AI-powered automated code-generation platform. Its focus lies in AI-assisted programming, enabling users to generate, test, and repair code through natural language prompts, while also managing complete codebases effectively.
Solver previously raised $8 million in funding and assembled a team of experts who had worked on Apple’s Siri and Samsung’s Viv Labs. The platform emphasizes its ability to comprehend code through AI and perform complex programming tasks conversationally, with support for major programming languages such as Python and JavaScript, alongside integration with mainstream developer tools.
Beyond Solver, NVIDIA has accelerated its AI software expansion through several notable acquisitions in the past two years:
- OctoAI – A Seattle-based startup specializing in generative AI tools, acquired in September 2024 for approximately $250 million, aimed at enhancing NVIDIA’s enterprise AI solutions.
- Run:ai – An Israeli provider of AI workload orchestration software, purchased for $700 million, with the deal finalized in December 2024.
- Brev – A developer platform for AI model building and deployment, acquired in July 2024 to improve accessibility to NVIDIA’s cloud GPUs.
- Gretel – A synthetic data startup acquired in March 2025, intended to address the growing demand for high-quality training datasets in AI development.
