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  6. On-premises GPU server 'Edgestar'

On-premises GPU server 'Edgestar'

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last updated:Sep 04, 2025

Forcesteed Robotics
Forcesteed Robotics
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Liberate yourself from cost and complexity! Build interactive generative AI in a secure environment.

"Edgestar" is an on-premise GPU server that can perform AI inference and learning all in one unit within a secure environment. By balancing the safety of on-premise servers, it enables the utilization of valuable data that may be dormant within the company, allowing for the construction of interactive generative AI in a secure environment and the creation of new value. Additionally, it allows for fine-tuning of LLMs at a scale of 70B without worrying about the HBM or GDDR memory capacity of the GPU cards. aiDAPTIV+ integrates flash memory and DRAM to achieve a larger memory space. 【Features】 ■ Equipped with AI SSD developed by PHISON, capable of executing training up to the 70B class ■ Provides a simultaneous connection environment for 20 clients at less than half the price of a new multi-GPU server ■ Supports a wide range of business applications and can be optimized to meet specific business needs *For more details, please download the PDF or feel free to contact us.

    serverserver
オンプレミスGPUサーバー『Edgestar』1.jpg

On-premises GPU server 'Edgestar'

オンプレミスGPUサーバー『Edgestar』1.jpg
オンプレミスGPUサーバー『Edgestar』1.jpg
  • Related Link - https://www.forcesteed.com/edgestar/

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【Product Specifications (Excerpt)】 ■Server ・CPU: AMD EPYC Embedded 8004 Series ・Memory: 128GB DDR4 ■GPU ・Model: 4×NVIDIA RTX4000 Ada ・CUDA Cores: 16,384 per GPU ■AI SSD ・Model: 2×AI100E M.2 2280 Industrial SSD ・Capacity: 2048GB *For more details, please download the PDF or feel free to contact us.

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On-premises GPU server 'Edgestar'

On-premises GPU server 'Edgestar'

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Forcesteed

Forcesteed Robotics

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Our company is developing artificial consciousness that can autonomously make decisions and take actions in dynamic environments, which has been difficult with conventional AI. We are realizing advanced autonomous AI by crossing three domains: the cerebral system (value judgment and recognition), the cerebellar system (motor learning and control), and the spatial cognition system (environmental understanding). By equipping various robots with artificial consciousness, we aim to enable them to think and process complex tasks on their own in dynamic environments. Through this, we are committed to expanding the application range of robots and addressing the modern social issue of labor shortages.

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