SuperX Launches New All-in-One Multi-Model Server Series, Redefining Enterprise AI Productivity

Rhea-AI Summary

SuperX (NASDAQ: SUPX) has launched its groundbreaking All-in-One Multi-Model Server (MMS) series, featuring pre-configured integration with OpenAI's latest GPT-OSS-120B and GPT-OSS-20B models. The enterprise-grade AI infrastructure offers out-of-the-box functionality and multi-model fusion capabilities.

The MMS series includes various editions ranging from $50,000 to $4,000,000, catering to different enterprise scales. Key features include advanced data security through NVIDIA Confidential Computing, rapid deployment capabilities, and support for over 60 pre-configured scenario-based agents.

The solution enables enterprises to implement AI applications immediately without lengthy integration processes, supporting multiple model types including inference, general-purpose, speech synthesis/recognition, and text-to-image models.

Positive

• Pre-configured with OpenAI's latest high-performance GPT-OSS-120B model that outperforms leading closed-source models
• Comprehensive product range from $50,000 to $4,000,000 addressing various enterprise needs
• Advanced security features through NVIDIA Confidential Computing technology
• Rapid deployment capability without requiring additional infrastructure
• Support for over 60 pre-configured business scenarios

Negative

• High entry cost with minimum investment of $50,000 for the basic workstation
• Significant investment required for enterprise-scale deployment ($4,000,000 for Cluster Edition)

Insights

Enterprise AI Technology Analyst

SuperX's new AI server launch represents a strategic expansion into high-margin enterprise AI infrastructure with notable technological differentiation.

SuperX's launch of its All-in-One Multi-Model Server series marks a significant product expansion following their XN9160-B200 AI Server introduced just a week ago. This rapid portfolio expansion signals an aggressive push into the enterprise AI infrastructure market.

The integration of OpenAI's newly released open-source models (GPT-OSS-120B and GPT-OSS-20B) provides SuperX with a competitive technological edge. Particularly noteworthy is that these models reportedly match or exceed some leading closed-source models in key benchmarks, allowing SuperX to offer high-performance AI capabilities at what they position as superior cost efficiency.

The product line is strategically tiered across multiple price points, from $50,000 workstations to $4,000,000+ cluster editions, enabling SuperX to target businesses of varying sizes and AI maturity. This pricing structure reveals a clear premium positioning in the market.

SuperX's emphasis on "turnkey" deployment addresses a critical pain point in enterprise AI adoption. By pre-configuring hardware with models, security features, and application templates, they're reducing the technical barriers and implementation timelines that typically slow enterprise AI deployment.

The multi-model fusion architecture represents genuine technical differentiation. Rather than simply providing compute for single models, SuperX is enabling complex workflows where multiple AI models collaborate as agents to handle sophisticated business processes. This positions their offering beyond basic infrastructure and closer to complete AI application platforms.

The inclusion of NVIDIA Blackwell platform with Confidential Computing capabilities addresses the crucial enterprise concerns of data security and model IP protection, making the offering more palatable to security-conscious enterprise customers and potentially accelerating adoption rates.

The All-In-One MMS will come pre-configured with OpenAI's newly released, high-performance large language models (LLMs), GPT-OSS-120B and GPT-OSS-20B.

SINGAPORE, Aug. 7, 2025 /PRNewswire/ -- Super X AI Technology Limited (NASDAQ: SUPX) ("the Company" or "SuperX") today announced the official launch of its latest All-in-One Multi-Model Servers ("MMS"). As the first enterprise-grade AI infrastructure to support the dynamic collaboration of multiple models by SuperX, this MMS is centered on being out-of-the-box ready, multi-model fused, and deeply integrated into application scenarios. It provides enterprises with a secure and efficient full-stack AI solutions, with customized specifications for enterprises of various scales, marking a new era where large model applications evolve towards the collaboration of multi-model intelligent agents. This is an integrated solution offered to large enterprise AI clients, following the debut of SuperX's XN9160-B200 AI Server on July 30, 2025, expanding SuperX's portfolio of enterprise AI infrastructure products.

To help enterprise clients secure a decisive competitive edge in the new wave of generative AI, this All-In-One Multi-Model Server comes pre-configured with high-performance large language models (LLMs), including the newly released top-tier open-source models GPT-OSS-120B and GPT-OSS-20B from OpenAI. Benchmark results show that GPT-OSS-120B achieves—and in some key tests like Massive Multitask Language Understanding (MMLU) and American Invitational Mathematics Examination (AIME) even surpasses—the performance of several leading closed-source models according to OpenAI's press release on Aug 5, 2025. That means SuperX's customers will be able to gain world-class AI inference and knowledge-processing capabilities at superior cost efficiency.

For SuperX's clients, this isn't just a technological lead—it's an efficiency revolution. There will be no need to spend months on complex model integration, hardware adaptation, and performance tuning. SuperX provides an out-of-the-box-ready, secure, reliable, fully optimized enterprise-grade generative AI platform that lets customers deploy advanced generative AI applications and agents immediately and respond swiftly to market changes. This "turnkey" solution is SuperX's core differentiator, transforming the appliance from a mere hardware device into a complete enterprise-grade generative AI solution that powers business innovation and drives intelligent decision-making. Visit the SuperX website to try the latest AI models now: https://cloud.superx.sg/chat

Breaking Technical Boundaries: Multi-Model Fusion Architecture Enabling Industry Innovation

The All-in-One MMS supports the pre-configuration, invocation, acceleration, management, and iteration of a diverse range of models—including inference models, general-purpose models, multi-model models, speech synthesis/recognition models, embedding models, reranking models, and text-to-image models. This achieves a deep fusion with end application scenarios, with functional breakthroughs in four key aspects:

• Cognitive Leap: The collaboration of multiple intelligent agents, built from various models, supports more complex business application scenarios. For example, it can directly locate video clips from a text description, accurately identifying people, actions, and more.
  
  
• Knowledge Empowerment: A built-in portal assistant and knowledge base system supports over 60 pre-configured scenario-based agents (e.g., official document drafting, legal consultation, policy comparison), creating a "what you think is what you get" closed-loop business process.
  
  
• Cloud-Coordinated Model Caching: Through the linkage of local and cloud-based model repositories, users can experience the power of the world's latest models instantly, without waiting.
  
  
• All-in-One Integration: The All-in-One MMS provides a platform that unifies the entire stack from the chip to the model service, handling the integration and optimization of complex technical architectures so users do not need to focus on the technology stack beneath the model.

Enterprise-Ready: A Turnkey Solution to Enterprise AI Deployment Challenges

Designed for real-world enterprise needs, the MMS addresses key obstacles in AI adoption—data privacy, deployment complexity, and operational scalability:

• AI Data Security (for AI Servers): Built on the NVIDIA Confidential Computing technology in the NVIDIA Blackwell platform, the MMS features a Trusted Execution Environment (TEE). In addition to protecting AI intellectual property (IP) and enabling secure, confidential AI training, inference, and federated learning, enterprises can also protect their largest models while ensuring performance.
• Cost-Efficient Deployment: With full-stack hardware-software integration, the server can be deployed in minutes without requiring additional infrastructure or IT resources. It is optimized for small and medium-sized enterprises, while also scalable for large enterprises through clustering, offering a high-performance alternative to traditional MaaS API services.
• Workflow Efficiency: The MMS comes with pre-configured templates and operational guides, allowing business users to rapidly build intelligent agents via no-code or low-code interfaces for a wide range of enterprise application scenarios.

Future Outlook of AI

"A single model cannot solve the problems of a complex world. Multi-model collaboration is a vital step in the evolution of AI towards Artificial General Intelligence (AGI) to serve people," emphasized Kenny Sng, CTO of SuperX. " with this All-in-One MMS, we're building a collaborative ecosystem with enterprise partners and AI agent developers to push the boundaries of what AI can achieve. "

All-in-One MMS Series Now Available for Order

AI Server Series:

• Cluster Edition (starting from USD 4,000,000), customized for all application scenarios
• B200 Standard Edition (USD 500,000), suitable for medium enterprises

AI Workstation Series:

• AI Workstation Ultra (USD 250,000), suitable for enterprise-level professionals and business functions
  AI Workstation Standard (USD 50,000), suitable for enterprise-level individual use

Request a Visit: https://forms.office.com/r/pJsaKnDtPp

Business Inquiries: sales@superx.sg

About Super X AI Technology Limited (NASDAQ: SUPX)

Super X AI Technology Limited is an AI infrastructure solutions provider, and through its wholly-owned subsidiaries in Singapore, SuperX Industries Pte. Ltd. and SuperX AI Pte. Ltd., offers a comprehensive portfolio of proprietary hardware, advanced software, and end-to-end services for AI data centers. The Company's services include advanced solution design and planning, cost-effective infrastructure product integration, and end-to-end operations and maintenance. Its core products include high-performance AI servers, High-Voltage Direct Current (HVDC) solutions, high-density liquid cooling solutions, as well as AI cloud and AI agents. Headquartered in Singapore, the Company serves institutional clients globally, including enterprises, research institutions, and cloud and edge computing deployments. For more information, please visit www.superx.sg

Contact Information
Product Inquiries: sales@superx.sg
Investor Relation: ir@superx.sg
Follow our social media:
X.com: https://x.com/SUPERX_AI_
LinkedIn: https://www.linkedin.com/company/superx-ai

Safe Harbor Statement

This press release contains forward-looking statements. In addition, from time to time, we or our representatives may make forward-looking statements orally or in writing. We base these forward-looking statements on our expectations and projections about future events, which we derive from the information currently available to us. You can identify forward-looking statements by those that are not historical in nature, particularly those that use terminology such as "may," "should," "expects," "anticipates," "contemplates," "estimates," "believes," "plans," "projected," "predicts," "potential," or "hopes" or the negative of these or similar terms. In evaluating these forward-looking statements, you should consider various factors, including: our ability to change the direction of the Company; our ability to keep pace with new technology and changing market needs; and the competitive environment of our business. These and other factors may cause our actual results to differ materially from any forward-looking statement.

Forward-looking statements are only predictions. The reader is cautioned not to rely on these forward-looking statements. The forward-looking events discussed in this press release and other statements made from time to time by us or our representatives, may not occur, and actual events and results may differ materially and are subject to risks, uncertainties, and assumptions about us. We are not obligated to publicly update or revise any forward-looking statement, whether as a result of uncertainties and assumptions, the forward-looking events discussed in this press release and other statements made from time to time by us or our representatives might not occur.

View original content to download multimedia:https://www.prnewswire.com/news-releases/superx-launches-new-all-in-one-multi-model-server-series-redefining-enterprise-ai-productivity-302524191.html

SOURCE SuperX AI Technology Ltd

FAQ

What are the key features of SuperX's new All-in-One Multi-Model Server (MMS)?

The MMS features pre-configured OpenAI models (GPT-OSS-120B and GPT-OSS-20B), multi-model fusion capabilities, NVIDIA Confidential Computing security, and support for over 60 pre-configured business scenarios.

How much does SuperX's (SUPX) new AI server series cost?

The series ranges from $50,000 for the AI Workstation Standard to $4,000,000 for the Cluster Edition, with intermediate options at $250,000 for AI Workstation Ultra and $500,000 for B200 Standard Edition.

What security features does SuperX's new MMS server include?

The MMS incorporates NVIDIA Confidential Computing technology with a Trusted Execution Environment (TEE), protecting AI IP and enabling secure, confidential AI training, inference, and federated learning.

How does SuperX's MMS differ from traditional AI servers?

SuperX's MMS offers out-of-the-box functionality, pre-configured models, multi-model fusion, and rapid deployment without additional infrastructure, unlike traditional servers requiring complex integration.

What types of models does SuperX's new MMS support?

The MMS supports multiple model types including inference models, general-purpose models, speech synthesis/recognition models, embedding models, reranking models, and text-to-image models.