Grid Dynamics announced the launch of its NVIDIA Solution Center

• 23 Feb 2026
• TM Team
• 0 Comments

Grid Dynamics Holdings, Inc.(Grid Dynamics), a premier AI transformation partner for the Fortune 1000, announced the launch of its NVIDIA Solution Centre. This suite of ready-to-deploy AI applications helps retail and manufacturing enterprises move away from costly, recurring SaaS licenses and subscription fees toward high-performance, NVIDIA-powered solutions.

The NVIDIA Solution Centre is derived from Grid Dynamics’ proven successful deployments at customers across the retail and manufacturing industries. The suite leverages NVIDIA’s software components including Metropolis, Omniverse, and Nemotron. All solutions offer flexible deployment at the edge, in on-premises datacenters, or in the cloud, enabling customers to achieve an optimal balance between inference cost, latency, privacy, and other operational requirements.

The suite covers the following use cases, tailored to the needs of retail and manufacturing clients

• Video analytics for factory, warehouse, and in-store operations, supporting compliance monitoring, packaging quality control, loss prevention, and other use cases out-of-the-box.
• Intralogistics optimization, supporting warehouse operations, robotic lines, and other related scenarios.
• Digital content generation and validation, supporting product data enrichment and image generation

Grid Dynamics is accelerating its go-to-market efforts and channel sales surrounding these solutions. The company recently presented the solutions in collaboration with NVIDIA at leading industry events including NRF 2026: Retail’s Big Show.

“Many retail and manufacturing clients either overpay for AI or delay adoption due to complexity and operating costs,” said Ilya Katsov, CTO, Americas at Grid Dynamics. “This suite delivers cost-efficient, deployment-ready solutions for use cases where NVIDIA-based architectures outperform SaaS alternatives. It’s not just a technical upgrade — it’s a financial catalyst for scaling AI across thousands of locations.”