Rise VAST Completes Compatibility Certification with Mthreads GPU

Rise Computing Technology (Beijing) Co., Ltd. and Moore Threads Technology (Beijing) Co., Ltd. have successfully completed compatibility certification. Rise VAST AI Computing Platform now fully supports Moore Threads MTT S Series GPUs, marking a significant milestone in the integration of domestic AI hardware and software infrastructure. This collaboration enhances AI computing resource management and scheduling efficiency, delivering more stable and efficient computing services while fostering the growth of the domestic AI ecosystem.

Moore Threads Compatibility Certification

Strategic Partnership for Advanced AI Computing Infrastructure

About RiseUnion

As a leader in AI computing management, Rise Computing specializes in integrated AI resource pooling and intelligent scheduling solutions. The company serves high-performance computing-intensive sectors including finance, telecommunications, and energy. Through compatibility with Moore Threads MTT S Series GPUs, Rise VAST optimizes resource scheduling efficiency in heterogeneous computing environments, maximizing GPU utilization, reducing Total Cost of Ownership (TCO), and accelerating AI innovation while advancing the domestic AI computing ecosystem.

About Moore Threads

Founded in October 2020, Moore Threads focuses on general-purpose GPU technology, providing global accelerated computing infrastructure and end-to-end solutions. The company empowers digital transformation across industries with robust AI computing support. Moore Threads aims to become a globally competitive GPU leader, developing advanced acceleration platforms for AI and digital twin applications in the intelligent digital world, with a vision to accelerate progress for a better future.

Technical Synergy Driving AI Innovation

The successful compatibility certification enables deep integration between Rise VAST platform and Moore Threads GPUs, providing enterprises with more efficient and flexible AI computing resource management capabilities to accelerate industry AI deployment.

Resource Pooling and Unified Management

Unified pooling and scheduling of multi-vendor, multi-type GPU devices in data centers, enabling flexible coordination between domestic and international computing resources
Vendor-agnostic hardware deployment strategies for optimized computing resource configuration

Dynamic Scheduling and Intelligent Allocation

Dynamic computing resource scheduling with on-demand GPU allocation for efficient large-scale AI workload execution
Multi-dimensional workload management and resource quota mechanisms supporting priority-based scheduling for improved resource utilization

Intelligent Operations and Enhanced System Stability

Real-time GPU device monitoring, log management, and intelligent alerting capabilities ensuring long-term system stability
Intuitive visualization interface simplifying operations and improving management efficiency

Collaborative Innovation in AI Computing

This partnership represents not only a crucial milestone in domestic AI hardware-software integration but also a powerful demonstration of AI ecosystem convergence and advancement. Rise Computing and Moore Threads will continue to deepen their technical collaboration, driving independent innovation and ecosystem development in the domestic AI computing industry. Together, they aim to provide robust support for digital transformation across industries while building a stronger domestic AI computing infrastructure.

Rise VAST AI Computing Power Management Platform

RiseUnion's Rise VAST AI Computing Power Management Platform(HAMi Enterprise Edition) enables automated resource management and workload scheduling for distributed training infrastructure. Through this platform, users can automatically execute the required number of deep learning experiments in multi-GPU environments.

Advantages of using Rise VAST AI Platform:

High Utilization：Efficiently utilize multi-machine GPUs through vGPU pooling technology, significantly reducing costs and improving efficiency.
Advanced Visualization：Create efficient resource sharing pipelines by integrating GPU and vGPU computing resources to improve resource utilization.
Eliminate Bottlenecks：Set guaranteed quotas for GPU and vGPU resources to avoid resource bottlenecks and optimize cost management.
Enhanced Control：Support dynamic resource allocation to ensure each task gets the required resources at any time.

RiseUnion's platform simplifies AI infrastructure processes, helping enterprises improve productivity and model quality.

To learn more about RiseUnion's GPU pooling, virtualization and computing power management solutions, please contact us: : contact@riseunion.io