An all-in-one solution designed for enterprise AI computing scenarios, offering out-of-the-box deployment and reduced AI application development costs
Rise MAX AI Computing Appliance is an integrated solution designed for enterprise AI computing scenarios. By integrating advanced GPU virtualization technology, intelligent scheduling systems, and resource management platforms, it enables precise allocation, dynamic scheduling, and unified management of computing resources, helping enterprises fully unleash AI computing potential and significantly improve resource utilization. Rise MAX is powered by Rise VAST and Rise CAMP technologies to provide comprehensive AI infrastructure capabilities.
Quick deployment and configuration
Significant resource cost reduction
Resource elastic expansion
Application compatibility
Pre-integrated with AI computing management platform, virtualization software, and distributed storage components. Deploy in 1 hour. Supports x86/ARM architectures for rapid business deployment.
Unified management platform for centralized control of compute, storage, and network resources. Multi-tenant resource isolation, simplified operations, and 50% faster fault recovery.
Scale smoothly from 3-node clusters to cross-datacenter large-scale deployments. Smart scheduling algorithms enable resource balancing and self-healing, improving utilization by 70%.
Fully open architecture with no hardware lock-in. Supports mainstream domestic/international AI accelerator cards, compatible with third-party security, backup, and disaster recovery capabilities for hybrid cloud architectures.
No dedicated storage or network devices required, built on standard servers. Powered by Rise VAST and Rise CAMP technologies, the unified management platform reduces operational costs while improved resource utilization saves on hardware investment.
Distributed architecture and intelligent scheduling algorithms support 1000+ concurrent users. 99% application compatibility meets enterprise-grade standards.
Integrated hardware-software design for instant deployment. Deployment time reduced from weeks to hours, 50% faster business launch.
Multi-tenant resource isolation with built-in comprehensive monitoring and alerting. Enterprise-grade maintenance tools ensure 24/7 stable operation.
Rise MAX-DS is an industry-leading AI-native pooled computing appliance with built-in intelligent computing resource pooling and dynamic scheduling technology (Rise CAMP). It reimagines AI computing architecture from the ground up, leveraging Rise VAST's heterogeneous computing management capabilities to enable unified scheduling and management of multi-vendor GPUs, ushering in a new era of intelligent, elastic, and efficient DeepSeek large model deployment and operation.
Pre-installed full series of DeepSeek models (1.5B to 671B), ready to use out of the box
Intelligent compute pooling for efficient multi-task collaboration
Automated resource scheduling, GPU utilization rate increased by 30%+
Support for cloud-edge collaboration, on-demand elastic scaling
Provides out-of-the-box environment for large model training. Through built-in intelligent scheduling and virtualization technology, enables multi-card collaborative training and dynamic resource allocation. An AI company deployed LLM training clusters using Rise MAX, completing environment setup in 30 minutes with 50% training efficiency improvement.
One-stop AI inference service deployment solution supporting rapid model deployment and auto-scaling. An internet company built inference service platform using Rise MAX, supporting hundreds of concurrent users with 50% lower response time and resource utilization increased to 75%.
Provides unified development and testing environment for R&D teams with pre-integrated AI frameworks and tools, supporting one-click environment replication and migration. A tech company's R&D team reduced environment deployment time from 3 days to 30 minutes, significantly improving development efficiency.
Enables cross-department GPU resource sharing and on-demand allocation through powerful resource management and scheduling capabilities. A research institute unified computing resource management with Rise MAX, supporting multi-team sharing while improving average resource utilization from 30% to 80%, reducing hardware investment by 40%.
