Rapt.AI & Massed Compute Introduce Autonomous AI Infrastructure Redefining the NeoCloud Era
Partnership with Massed Compute Marks a New Standard for Auto GPU Optimization and Up to 14x Efficiency Gains
The partnership signals a major turning point for AI compute. Instead of manually sizing, tuning, and allocating static GPU resources, organizations can now run models on an infrastructure layer that optimizes itself in real time. With Rapt's workload-aware agentic engine running directly on Massed Compute's GPU infrastructure, enterprises gain the ability to dramatically increase the number of AI workloads at the same cost, eliminate model performance and failure issues due to insufficient GPU memory, cores, streaming multiprocessors (SMs), and other resource constraints that typically degrade inference and training stability. This enables teams to get models into production four times faster.
Early benchmarks show, with Rapt's Intelligent Packing™, up to fourteen times more workloads on current GPUs, significantly higher inference throughput at target latency, continuous cost savings through automated optimization, and the elimination of time consuming infrastructure setup tuning and tuning iterations.
Rapt manages and unifies Nvidia's leading GPU generations, and other vendors GPUs, in cloud, on-premise, hybrid, and multicloud. With Rapt's autoscaling and multi-cloud capability, it is an ideal platform to migrate GPU workload for other clouds and on-premise to Nvidia Preferred Cloud partners like Massed Compute.
The launch comes at a pivotal moment for the NeoCloud movement. As organizations seek more efficient alternatives to legacy hyperscalers, leading providers like Massed Compute forging new ground by partnering with Rapt and offering this new class of workload aware AI optimized AI compute infrastructure. Massed Compute establishes a new benchmark for flexible, autonomous, and cost-efficient compute designed for both startups and large-scale enterprise teams.
"This is the moment AI infrastructure becomes autonomous," said
"Massed Compute was designed for reliability and direct access to compute power," said
The current release of Rapt.AI's orchestration layer on Massed Compute is part of a limited Early Access Program running through
About Rapt.AI
Rapt.AI delivers AI-native infrastructure orchestration software that dynamically manages, provisions, and optimizes GPU resources across distributed environments. Designed for enterprises, research labs, and AI developers, Rapt.AI automates GPU allocation, sharing, and scheduling delivering up to 10x higher utilization and dramatically lower inference and training costs. Learn more at www.rapt.ai.
About Massed Compute
Massed Compute is a next-generation AI cloud infrastructure provider offering on-demand GPU and CPU compute power without intermediaries. Owning and operating its own Tier III facilities, Massed Compute ensures unmatched uptime, direct access to NVIDIA GPUs, and full operational control for customers worldwide. Through its Inventory API, enterprises can seamlessly integrate GPU provisioning into their own platforms. Learn more at www.massedcompute.com.
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Rapt.AI
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View original content:https://www.prnewswire.com/news-releases/raptai--massed-compute-introduce-autonomous-ai-infrastructure-redefining-the-neocloud-era-302620910.html
SOURCE Rapt.Ai
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