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Risen Energy Unveils New C&I ESS Solution

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Risen Energy Unveils New C&I ESS Solution
Business

Business

Risen Energy Unveils New C&I ESS Solution

2026-04-30 15:00 Last Updated At:15:15

For Australia: RisenStack Pro Modular ESS Passes Full Certification

NINGBO, China, April 30, 2026 /PRNewswire/ -- RisenStack Pro Modular ESS has passed Australia's new C&I energy storage certification – covering Electrical Safety, EMC, and functional safety – meaning it's fully up to Australian standards. It goes further in ensuring stable operation, resisting electromagnetic interference, and enabling fault self-diagnosis and safety response, delivering a truly trustworthy modular storage solution for the Australian market.

Seamless Adaptation Across All Energy Scenarios

With modular design and single-device capacity from 48 kWh to 120 kWh, RisenStack Pro adapts to both residential and commercial needs. One-click site setup enables deployment in under five minutes, ensuring 24/7 backup power for critical equipment.

Beyond single-scenario C&I applications, it integrates dynamic control strategies and fast hardware/software iteration for real-time energy optimisation. Four built-in modes – Custom, Green Power, AI, and Remote Dispatch – deliver flexibility across diverse use cases.

Redefining Product Performance Through Technological Innovation

RisenStack Pro is engineered for safety, maintainability, and intelligent control. It features 6-layer battery protection and multiple PACK-level safety mechanisms, including active safety, early abnormal cell warning, explosion venting, and fire suppression. The energy modules are rated IP65 and C4 for strong environmental adaptability and extended life.

For installation and maintenance, the fully modular design enables quick deployment, flexible installation, and easy servicing. Module-level PWM smart fan speed control balances thermal management and power consumption. The patented airflow design and thermal insulation ensure stable performance without derating, even in cold conditions.

On the smart management front, RisenStack Pro integrates with Risen Cloud for centralised monitoring and smart energy management. Users can remotely monitor system status and switch operation modes in real time. With an open protocol ecosystem, it's compatible with mainstream generation and consumption equipment for seamless integration and coordinated control.

A Brand New Design Language

RisenStack Pro adopts a modern, minimalist design that fits naturally into both commercial and residential environments. Its compact structure and flexible installation allow easy deployment outdoors, in basements, on rooftops, or inside high-rise buildings – delivering reliable energy while enhancing the surrounding space.

RisenStack Pro Modular ESS is now Australia-ready – fully certified, fully flexible, and built to deliver reliable, smart, and safe energy across any scenario. From compliance to performance to design, it's the complete storage solution for the road ahead.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Risen Energy Unveils New C&I ESS Solution

Risen Energy Unveils New C&I ESS Solution

Risen Energy Unveils New C&I ESS Solution

Risen Energy Unveils New C&I ESS Solution

Risen Energy Unveils New C&I ESS Solution

Risen Energy Unveils New C&I ESS Solution

Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent's launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 2, 2026 /PRNewswire/ -- Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary 'MoAI Inference Framework.'

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent's launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in 'Production-Ready LLM Inference on Tenstorrent Galaxy.'

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, "Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone," and added, "We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs."

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency

MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency

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