Rapt.AI, a leader in AI-native GPU Optimization and Orchestration today announced the launch of its AI powered GPU Management and Optimization layer on Massed Compute, one of the fastest-growing GPU-as-a-Service providers. The integration was debuted today at SuperCompute 2025, marking the first time a NeoCloud platform has delivered workload aware and self-optimizing GPU management as a seamless capability. This partnership with Massed Compute marks a new standard for auto GPU optimization and up to 14x efficiency gains .

The Human Machine Collaboration Institute (HMCI) and Rapt.AI today announced the deployment of NVIDIA GB10 systems powered by the NVIDIA GB10 Grace Blackwell Superchip to anchor the AI and Robotics Ecosystem, a first-of-its-kind municipal AI innovation environment designed to make advanced computing accessible, affordable, and inclusive. The initiative is led through strategic collaboration between NVIDIA, HMCI, Rapt.AI, and the City of Rancho Cordova. This public–private partnership will deliver affordable, scalable AI development to students, startups, and researchers across the Greater Sacramento region.

Model Defined GPUs (MDG) is a new infrastructure paradigm where AI models, not hardware limits, define how GPU resources are shaped and orchestrated. Rapt’s model-first approach to GPU infrastructure, where AI models dynamically define how GPU resources are allocated and optimized. Rapt is the only agent bringing this to market.

Rapt AI, a leading provider of AI-powered AI-workload automation for the most popular GPUs and AI accelerators today, announced a strategic collaboration with AMD to redefine AI infrastructure management. This alliance aims to improve AI inference and training workload management and performance on AMD Instinct™ GPUs, offering customers a scalable and cost-effective solution for deploying AI applications.

You diligently monitor NVIDIA SMI, that ubiquitous command-line tool, feeling like you have a handle on utilization. But what does that output really tell you? The uncomfortable truth is: likely far less than you think. 

DeepSeek's recent breakthroughs in efficient Large Language Model (LLM) training are a watershed moment for the AI industry. Without smart orchestration, organizations can’t fully capitalize on the cost savings and performance gains that DeepSeek’s innovations promise.