Rise MAX AI Computing Appliance

Rise MAX AI Computing Appliance

An enterprise-grade, all-in-one solution for AI computing, offering out-of-the-box deployment and reduced AI application development costs.

Product Overview

Rise MAX AI Computing Appliance is an integrated, enterprise-grade solution for AI computing. By combining advanced GPU virtualization, intelligent scheduling, and unified resource management, it enables precise allocation, dynamic orchestration, and centralized control of compute resources. Powered by Rise VAST and Rise CAMP, Rise MAX delivers comprehensive AI infrastructure capabilities to help enterprises fully realize AI potential and drive resource efficiency.

1hour

Out-of-the-box deployment and configuration

70%

Significant reduction in resource costs

Seconds

Instant elastic resource scaling

99%

Broad application compatibility

Core Features

Out-of-the-Box Deployment

Pre-integrated with AI management, virtualization, and distributed storage. Deploy in 1 hour. Supports x86/ARM architectures for rapid business launch.

Centralized Management

Unified platform for compute, storage, and network management. Multi-tenant isolation, streamlined operations, and 50% faster fault recovery.

Elastic Scaling

Seamlessly scale from 3-node clusters to cross-datacenter deployments. Intelligent scheduling ensures resource balancing and self-healing, boosting utilization by 70%.

Open Ecosystem

Fully open architecture with no hardware lock-in. Supports mainstream domestic and international AI accelerators, and integrates with third-party security, backup, and disaster recovery for hybrid cloud.

Key Benefits

Cost Efficiency

No dedicated storage or network hardware required—built on standard servers. Powered by Rise VAST and Rise CAMP, the unified management platform reduces operational costs and maximizes hardware ROI.

Performance Assurance

Distributed architecture and intelligent scheduling support 1000+ concurrent users. 99% application compatibility meets enterprise-grade requirements.

Rapid Deployment

Integrated hardware-software design for instant deployment. Reduce deployment time from weeks to hours, accelerating business launch by 50%.

Security & Reliability

Multi-tenant isolation with built-in monitoring and alerting. Enterprise-grade maintenance tools ensure 24/7 stable operation.

DeepSeek AI Computing Appliance

Rise MAX-DS is an industry-leading, AI-native pooled computing appliance with built-in intelligent resource pooling and dynamic scheduling (Rise CAMP). It reimagines AI computing architecture, leveraging Rise VAST for 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 with the full DeepSeek model series (1.5B to 671B), ready to use out of the box

Intelligent compute pooling for efficient multi-task collaboration

Automated resource scheduling, boosting GPU utilization by 30%+

Support for cloud-edge collaboration and on-demand elastic scaling

DeepSeek AI Computing Appliance

Use Cases

Large-Scale Model Training

Provides an out-of-the-box environment for large model training. Built-in intelligent scheduling and virtualization enable multi-GPU collaborative training and dynamic resource allocation. An AI company deployed LLM training clusters with Rise MAX, completing setup in 30 minutes and improving training efficiency by 50%.

High-Performance Inference Services

One-stop AI inference deployment with rapid model rollout and auto-scaling. An internet company built an inference platform with Rise MAX, supporting hundreds of concurrent users, reducing response time by 50%, and increasing resource utilization to 75%.

AI Development & Testing Environment

Unified development and testing environment with pre-integrated AI frameworks and tools. Supports one-click environment replication and migration. A tech company's R&D team reduced deployment time from 3 days to 30 minutes, significantly boosting development efficiency.

Computing Resource Sharing Platform

Enables cross-department GPU sharing and on-demand allocation with powerful management and scheduling. A research institute unified resource management with Rise MAX, supporting multi-team sharing, increasing average utilization from 30% to 80%, and reducing hardware investment by 40%.