We present the perfect campaign for those who want to start with AI from one unit.
Many people may want to advance the utilization of AI and the verification of RAG and LLM within their companies, but are unable to do so due to the hurdles of introducing GPU servers and infrastructure constraints. This campaign proposes an environment where AI development can be started immediately using NVIDIA DGX Spark, without the need for special equipment. It is compact, quiet, and energy-efficient, making it suitable for placement on a desk. It can be expanded to a maximum of four units, allowing for gradual scaling from PoC to team use and eventually to an AI infrastructure.
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basic information
The NVIDIA DGX Spark, with its palm-sized chassis, features a quiet design and low power consumption, making it easy to install in typical offices and laboratories. Equipped with the NVIDIA GPU GB10 and 128GB of large-capacity memory, it covers a wide range of applications from prototype development for generative AI to building in-house AI applications. 【Reference Specifications】 GPU: GB10 Grace Blackwell Superchip AI Computing Performance: Up to 1 PFLOPS (FP4 Sparse) / 1,000 AI TOPS CPU: 20-Core Arm (10×Cortex-X925 + 10×Cortex-A725) Memory: 128GB LRDDR5x Unified Memory (256-bit, 273 GB/s) Storage: 1TB/2TB/4TB NVMe M.2 (Self-Encrypting) NIC: 2-Port ConnectX-7 200GbE QSFP Ethernet: 1-Port 10GbE RJ45 I/O Ports: 1-Port HDMI 2.1a, 4-Port USB Type-C Power Consumption: External AC Adapter Maximum 240W
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■Ease of Setup With a compact desktop size, it does not require a dedicated server room like traditional GPU servers. Additionally, due to its quiet and energy-efficient design, there is no need for 200V power installation, allowing it to be used seamlessly in an office environment, enabling AI development in the same space as daily operations. ■Small Start from One Unit It can be introduced from just one unit, and since the AI development environment is already prepared, you can start PoC and verification immediately after installation. You can begin utilizing AI with a small-scale configuration, allowing for a gradual introduction while keeping initial investments low. ■Utilizing AI While Protecting Data It can be used in an on-premises environment, allowing AI processing to be executed without exposing confidential or internal data externally. Even companies with restrictions on cloud usage can safely conduct RAG and LLM verifications within their internal environment.
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Our company started its business in February 2005 with support services for medical information systems and has since been engaged in providing IT solutions as a system integrator. We cultivate open-minded individuals who can approach their work creatively, and it is these "people" who become the driving force behind our high-value-added services, allowing our clients to experience "passion," "flexibility," and "a sense of speed."
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