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Rise MAX: AI Compute Appliance

Pre-integrated full stack, out-of-the-box, deploy in 15 minutes

Product Overview

Don't want to build the platform yourself? Rise MAX ships with VAST + CAMP + K8s operations + distributed storage pre-installed in one appliance, 15 minutes from bare metal to production-ready. Scales smoothly from a 3-node lab cluster to cross-datacenter deployments, with domestic chip certifications for teams that need fast deployment without compromising capability.
15min

Deployment to production

30→70%

GPU utilization boost

1000+

Concurrent user support

10+

Domestic chip certifications

Core Features

Full-stack Pre-integrated

Pre-installed Rise VAST + Rise CAMP + K8s Dashboard + distributed storage. Hardware-software integrated delivery, 15 minutes from bare metal to production-ready platform.

Unified Heterogeneous Control

Supports NVIDIA, Ascend, Hygon, Cambricon and more under unified management. Built-in vGPU slicing and intelligent scheduling, no vendor lock-in.

One-stop K8s Operations

Built-in K8s workload deployment and operations views covering workloads, networking, and storage. Significantly lowers operations learning curve with multi-channel deployment for diverse customer environments.

Elastic Smooth Scaling

Scale smoothly from 3-node clusters to cross-datacenter deployments. Intelligent scheduling for resource balancing and self-healing, with cloud-edge collaboration and on-demand elastic scaling.

Key Benefits

Lower TCO

No dedicated storage or network hardware required, built on standard servers. Powered by Rise VAST and Rise CAMP, GPU utilization rises from 30% to 70%+, significantly reducing hardware investment for the same workload.

Ultra-fast Deployment

Integrated hardware-software design reduces deployment from weeks to 15 minutes. Pre-installed full-stack platform for rapid business launch.

Performance & Reliability

Distributed architecture with intelligent scheduling supports 1000+ concurrent users. Multi-tenant isolation with built-in monitoring and alerting for 24/7 stable operation.

Open Ecosystem, No Lock-in

Fully open architecture compatible with third-party security, backup, and DR solutions for hybrid cloud. Supports both CAMP and EDGE cloud-native deployments with standalone deployment option.

DeepSeek Optimized

DeepSeek AI Compute Appliance

Rise MAX-DS is an industry-leading AI-native compute appliance with integrated resource pooling and dynamic scheduling via Rise CAMP. It reimagines AI architecture for intelligent, elastic, and efficient DeepSeek model deployment.

  • Pre-installed with full DeepSeek model series (1.5B to 671B), ready to use
  • Intelligent compute pooling for high-concurrency multi-task collaboration
  • Automated resource scheduling, boosting GPU utilization by 30%+
  • Cloud-edge collaboration with on-demand elastic scaling
DeepSeek AI Compute Appliance

Use Cases

LLM Training & Inference

Out-of-the-box LLM training and inference environment with built-in intelligent scheduling and vGPU virtualization for multi-GPU training and dynamic allocation. An AI company deployed LLM training clusters with Rise MAX, completing setup in 15 minutes with 50% training efficiency improvement.

Enterprise Private AI Deployment

Private AI platform with data sovereignty. Pre-installed DeepSeek, Qwen and other major LLM images, one-click inference service publishing with API access and multi-tenant isolation for finance and government compliance requirements.

Shared AI R&D Platform

Unified dev/test environment for multiple R&D teams with built-in Jupyter/VSC and distributed training management. A research institute unified compute resources with Rise MAX, achieving multi-team sharing with utilization from 30% to 80% and 40% less hardware investment.

Domestic Compute Foundation

Certified for domestic chip compatibility, unified management of Ascend, Hygon and other domestic accelerators. A state-owned enterprise built a domestic compute platform with Rise MAX, managing hundreds of heterogeneous servers with 60%+ utilization improvement.

Frequently Asked Questions

01 What's the difference between Rise MAX and just buying GPU servers + deploying VAST/CAMP yourself?
The underlying software stack is identical — the difference is delivery model. DIY requires customers to handle hardware sourcing, procurement, racking, OS install, K8s setup, VAST/CAMP deployment, and tuning — typically 4-8 weeks end-to-end, requiring strong in-house ops expertise. Rise MAX is a turnkey hardware + software appliance: pre-racked hardware, pre-configured OS, pre-deployed K8s + VAST + CAMP + ModelX stack, and pre-loaded DeepSeek and other mainstream models — operational in under an hour. Ideal for customers who want to skip the integration risk and start AI rollout immediately.
02 What configurations does MAX come in? Which GPUs are supported?
Four tiers — Entry, Standard, Enterprise, Flagship — covering 4 to 64 GPUs: NVIDIA L20 / L40S / H20 / H100 / H200, plus the full range of domestic accelerators including Huawei Ascend 910B, Cambricon, Hygon DCU, and Kunlunxin. CPU, memory, storage, and network are tuned for AI training and inference workloads (high memory bandwidth, NVMe SSDs, optional 200G InfiniBand). Custom configurations available.
03 Which models come pre-loaded? How fast can I start serving?
MAX ships with the full DeepSeek family (1.5B / 7B / 14B / 32B / 70B / 671B) plus Qwen, Llama, and other mainstream open models, callable out of the box via the OpenAI-compatible API. After racking, power-on, and network configuration — under one hour total — the appliance is ready to serve. No model downloads, conversions, or deployment work required. Customers can start internal PoCs the same day delivery happens.
04 What does the customer need to provide for MAX deployment? Any data center requirements?
Just three things: standard rack space, power (220V / 32A dual-feed recommended), and network uplink. After delivery, RiseUnion engineers handle on-site racking, power-on, network setup, and first-boot validation — about one hour total. No special data center requirements; standard colo or in-house server rooms work fine. Includes 72-hour 24/7 first-line support from RiseUnion engineering.
05 How does inference performance on MAX compare to public cloud providers?
MAX integrates the mainstream vLLM, SGLang, and MindIE inference engines, tuned with Rise VAST optimizations — matching or exceeding mainstream cloud providers at the same model spec. More importantly, private deployment eliminates public-internet transit and bandwidth bottlenecks, delivering more consistent time-to-first-token and end-to-end latency — a meaningful advantage for latency-sensitive workloads like customer service and Coding Agents.
06 How does MAX TCO compare to buying tokens from cloud APIs? What's the payback period?
For a typical enterprise AI workload (10M tokens/day), public cloud API spend usually runs $8-25K USD per month. An entry-tier MAX appliance costs roughly $50-80K upfront, amortizing to about $1.5-2K/month over 3 years — typical payback in 6-12 months. More importantly: data stays inside the perimeter, performance is predictable, and long-term costs are controllable. Contact us for a customized ROI analysis.
07 How are MAX upgrades handled? Hardware and software?
Software upgrades are performed remotely or on-site by RiseUnion engineers. VAST, CAMP, and ModelX support rolling upgrades with zero workload impact, included in annual maintenance. Hardware upgrades support both horizontal scaling (adding nodes to an existing cluster) and vertical upgrades (e.g., GPU replacement), executed on-site by RiseUnion engineers. Includes 3-year manufacturer warranty with optional 5-year extension.
08 Can MAX integrate with existing enterprise systems like ERP, CRM, or monitoring?
The built-in ModelX AI Gateway natively supports OpenAI-compatible API, MCP protocol, and Function Call, enabling zero-glue integration with enterprise ERP, CRM, and OA systems. Monitoring exposes standard Prometheus + Grafana metrics for integration with existing observability platforms. Authentication supports OIDC / LDAP / SAML for IAM integration. All these integrations are validated in production at multiple finance and government customers.
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