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Wasabi Hot Cloud Storage is a fast and low-cost cloud object storage that supports S3-compatible APIs. It caters to a wide range of applications, including backup/recovery, archiving, disaster recovery measures, and AI/ML data storage. With a simple pricing structure that eliminates download charges (egress) and API fees, you can manage large volumes of data flexibly while keeping operational costs low. Additionally, it features object locking (immutable) and versioning capabilities, enhancing ransomware protection and data security. It provides high reliability and security in data centers compliant with SOC2 and ISO27001 standards.
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ExaGrid is a backup storage solution that employs a unique landing zone and tiered architecture. By retaining the latest backups in a deduplicated state, it enables fast backup, restore, and Instant VM Recovery. Additionally, its deduplication feature optimizes storage capacity and reduces long-term storage costs. Data protection for non-network connected areas, support for immutability, and retention time lock features enhance ransomware protection. It supports scale-out configurations, allowing for flexible expansion while maintaining performance even as data increases.
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QuantaStor by OSNEXUS is a software-defined storage (SDS) product that offers both scale-up and scale-out capabilities on a single platform, providing integrated file, block, and object storage. ■ Scale-out file, block, and object storage solution Storage space for file (NFS/SMB(CIFS)), block (iSCSI/FC), and object (S3) is provided with Ceph's capabilities. Storage clusters configured with this functionality can simultaneously provide three types of storage spaces (file, block, and object). ■ Scale-up SAN/NAS storage solution External shared storage shared between two nodes provides storage space for file (NFS/SMB(CIFS)) and block (iSCSI/FC) using ZFS capabilities. The storage space available can be expanded by extending the external shared storage.
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In the development process of AI applications, the learning phase requires a significant amount of GPU resources. To develop AI applications with higher accuracy in the future, it is necessary to handle an even larger volume of data, and the resources required for the learning time are enormous. Optimizing the utilization of a large number of GPU servers can be considered the most critical issue in AI application development. Federator.ai GPU Booster maximizes the efficiency of GPU utilization during the AI learning phase through its unique AI technology, solving many challenges.
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Cohesity Data Cloud is a next-generation integrated data platform designed to address the challenges of modern data security and management. It consolidates your secondary data (such as backups, archives, and test/development data) distributed across on-premises, cloud, and edge environments into a single platform, providing simple management and robust security. In particular, it focuses on countering cyber threats, including ransomware, and on extracting value from data using AI, positioning itself as a "leader in AI-driven data security" to strongly promote your digital transformation.
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Qumulo is a cloud-native software vendor that provides large-scale file systems. It enables the construction of enterprise file data on a large scale and from any location. Solve the challenges of managing complex unstructured data with Qumulo solutions!
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OKESTRO operates in conjunction with CONTRABASS (VM infrastructure) and VIOLA (container infrastructure). CONTRABASS handles the creation and management of VMs, providing users with a VM infrastructure similar to VMWare. At the same time, it also serves as the foundation for VIOLA. VIOLA is built on top of the CONTRABASS VM, providing users with a container infrastructure. This enables the simultaneous provision of virtualization with different granularities for VMs and containers.
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Cloudpaging is an innovative application virtualization and containerization technology developed by Numecent in 2012. Typically, to use an application on a Windows PC, you must download all the files in advance and install them on the PC. However, with Cloudpaging, you can run the application by downloading only about 5% of it without installing the application. Cloudpaging can virtualize as much as 99.9% of Windows applications. Therefore, it is being utilized in many scenarios, such as in general companies that handle numerous applications, educational environments where BYOD (Bring Your Own Device) is advancing, and work sites that require complex installations, such as CAD and development.
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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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Many companies considering the introduction of AI face the challenge of not knowing which GPU is optimal for their specific applications. NVIDIA GPUs come in various types, and the performance required for AI training and inference can vary significantly. In this instance, we clearly propose the optimal NVIDIA GPUs and recommended server configurations for three different applications: large-scale training, inference, and small-scale inference. Additionally, we offer these at a limited-time special price. From the first steps in utilizing AI to building a robust training infrastructure, we support you in selecting the most suitable GPU server for your needs.
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The "Hammerspace Data Platform" is a software-defined storage (SDS) that integrates distributed unstructured data and enables high-speed access. With a unified global namespace and data orchestration, it automates centralized management and optimal placement of data across on-premises, edge, and cloud environments. It supports industry-standard protocols such as NFS, SMB, and S3, requiring no special client software. It can collaborate with and utilize various existing storage solutions, including NAS, block, object, and cloud storage. 【Features】 ■ Global parallel file system ■ Global namespace ■ Data orchestration (automated data operations) *For more details, please refer to the related links or feel free to contact us.
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We would like to introduce our "NVIDIA AI Enterprise." It is an enterprise platform optimized for AI, integrating the development and deployment of AI with proven open-source frameworks and tools optimized for AI. It enables the execution of AI workloads regardless of location, whether on-premises or in cloud environments. By building a large-scale integrated Deep Learning environment/inference environment from test to production, we achieve efficiency in AI workflows. 【Key Features】 ■ Certified Software ■ Performance Improvement ■ Uncompromising Scalability ■ Deployable Anywhere *For more details, please refer to the related links or feel free to contact us.
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The NVIDIA L4 is a Tensor Core GPU that provides energy-efficient universal acceleration powered by the NVIDIA Ada Lovelace architecture. Designed in a slim form factor, it delivers a cost-effective and energy-efficient solution across all servers, including edge, data centers, and cloud. It offers high throughput and low latency, achieving up to 120 times the AI video performance and up to 99% energy efficiency improvement compared to traditional CPU-based infrastructure. It operates at a low power consumption of 72W in a slim form factor. 【Features】 ■ Experience the performance of real-time AI video pipelines ■ Reduce power consumption and installation space with L4 ■ Accelerate generative AI performance ■ Optimize graphics performance ■ Efficiently and sustainably accelerate workloads ■ Streamline development and deployment with enterprise AI software *For more details, please refer to the related links or feel free to contact us.
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The NVIDIA L40 is a GPU that provides advanced visual computing performance for data centers. Equipped with 48 GB of ultra-fast GDDR6 memory, it supports memory-intensive workloads such as data science, simulation, 3D modeling, and rendering. The vGPU software allows for efficient memory allocation to multiple users. Designed using power-efficient hardware and components, it is optimized for 24/7 enterprise data center operations. It features secure boot technology using root of trust. 【Features】 ■ 4th Generation Tensor Cores ■ 3rd Generation RT Cores ■ Large-capacity GPU Memory ■ Data Center Ready *For more details, please refer to the related links or feel free to contact us.
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The "NVIDIA L40S" is a groundbreaking GPU that provides exceptional multi-workload performance for data centers. It delivers the power suitable for data center workloads, including inference and training for generative AI and large language models (LLMs), as well as 3D graphics, rendering, and video processing. Optimized for enterprise data center operations that run 24/7, it is designed, built, tested, and supported by NVIDIA. It also features secure boot technology with Root of Trust. 【Features】 ■ 4th Generation Tensor Cores ■ 3rd Generation RT Cores ■ CUDA Cores ■ Transformer Engine ■ Efficiency and Security ■ DLSS 3 *For more details, please refer to the related links or feel free to contact us.
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The "NVIDIA H200" is a Tensor Core GPU that enhances generative AI and HPC workloads. It provides large-capacity and high-speed memory, driving HPC workloads through scientific computing and accelerating generative AI and large language models (LLMs). When processing LLMs like Llama 2, it improves inference speed by up to 2 times compared to the conventional H100 GPU. Achieving unprecedented performance within the same power profile as the H100 Tensor Core GPU, it offers economic advantages through improved energy efficiency and reduced total cost of ownership (TCO). 【Features】 ■ High performance with large-capacity and high-speed memory ■ Accelerates high-performance computing ■ Dramatically reduces energy efficiency and TCO *For more details, please refer to the related links or feel free to contact us.
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The "NVIDIA HGX B200" is a modular GPU platform capable of housing the Blackwell generation B200 GPU. It supports a wide range of applications, from training large language models and real-time inference to HPC fields such as molecular simulation and autonomous driving development. With up to 1.4TB of GPU memory, it efficiently handles models with parameters ranging from hundreds of billions to trillions. Equipped with the fifth generation of NVLink and NVSwitch, it connects GPUs at a total of 14.4TB/s. It supports both liquid cooling and air cooling, allowing for flexible configurations based on the installation environment. 【Features】 ■ Equipped with 8 advanced Blackwell GPUs ■ Up to 1.4TB of GPU memory ■ NVLink/NVSwitch with 14.4TB/s inter-GPU communication ■ 15 times inference performance and 1/12 total cost of ownership efficiency ■ Flexible system configuration ■ Wide range of application areas and proven performance *For more details, please refer to the related links or feel free to contact us.
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The "NVIDIA HGX B300" is a cutting-edge GPU platform that fundamentally changes the performance of generative AI and large-scale data analysis. With large-capacity memory and high-speed interconnects, it can process larger models simultaneously, enabling training and inference to be handled faster than ever before. The collaboration between multiple GPUs is seamless, significantly improving the efficiency of development and analysis. Equipped with eight B300 GPUs, it allows for the construction of large-scale GPU clusters in a compact space. Its design supports both air and liquid cooling, enabling the adoption of cooling strategies suited to the data center environment. 【Features】 ■ Overwhelming computational performance to process large-scale models at once ■ Large-capacity memory and ultra-fast GPU-to-GPU communication to eliminate data bottlenecks ■ High-performance networking and security features for safe and efficient data processing ■ High-density GPU modules and flexible cooling design to maximize installation efficiency ■ Optimized for HPC, AI inference, and real-time processing *For more details, please refer to the related links or feel free to contact us.
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The "NVIDIA RTX PRO 6000 Blackwell" is a GPU that redefines the possibilities for professionals by merging advanced AI computing capabilities with cutting-edge visual performance. Equipped with 5th generation Tensor cores, it delivers up to 4 PFLOPS of AI inference performance at FP4 precision. It supports a wide range of use cases, from agent AI and physical AI to scientific computing, rendering, 3D graphics, and video processing. With 96GB of high-capacity memory featuring error correction (ECC), it can comfortably handle the simultaneous execution of multiple applications and virtual instances. It also supports Multi-Instance GPU (MIG). 【Features】 ■ Equipped with NVIDIA Blackwell architecture ■ 4th generation RT cores ■ CUDA cores ■ 96GB of GPU memory (ECC supported) ■ 9th generation NVENC (hardware encoder) ■ Multi-Instance GPU (MIG) support *For more details, please refer to the related links or feel free to contact us.
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We would like to introduce the "NVIDIA Data Center GPU" that we handle. The GPUs for data centers are equipped with AI-specific cores and large-capacity VRAM to support large-scale and advanced analytics and machine learning. They significantly speed up the processing when training or inferring AI. Companies and research institutions dealing with big data can analyze data instantly and obtain results quickly. CPU, memory, storage, and network can be finely customized. 【What this product can do】 ■ Acceleration of AI and machine learning ■ High-Performance Computing (HPC) ■ Large-scale data analysis *For more details, please refer to the related links or feel free to contact us.
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The "Qeek Container Orchestrator" is an appliance that enables the implementation, construction, and operation of a container infrastructure without the need for specialized knowledge or sufficient engineering resources. It comes standard with a user-friendly web UI, allowing basic operations and management to be completed through the web UI. With role-based access control and operation confirmation features, it enables safe operation while preventing erroneous actions. Containers are activated only when needed and use resources, releasing them once processing is complete, allowing for efficient sharing of limited resources. 【Features】 ■ High efficiency in dynamically allocating only the necessary resources when needed ■ User-friendly GUI even for container infrastructure ■ Easy to implement with high security and scalability *For more details, please refer to the related links or feel free to contact us.
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The "Qeek Virtual Orchestrator" is an on-premises appliance server that allows for the rapid deployment of a virtualization infrastructure (VM infrastructure) with short lead times and low costs. It enables the operation of numerous and multi-purpose virtual servers with a small number of physical servers, and due to its redundant configuration, it can continue operations without stopping the VMs even if some servers experience failures. It achieves a virtualization infrastructure with excellent stability and availability. The software is provided in a fully built and tested state at the time of factory shipment. You can start using it immediately by simply connecting it to the network. 【Features】 ■ Capable of operating numerous and multi-purpose virtual servers with a small number of physical servers ■ Topology display to prepare for potential hardware failures ■ Easy deployment with high security and scalability *For more details, please refer to the related links or feel free to contact us.
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"Qeek AI Orchestrator" is a generative AI system that can be easily implemented regardless of the size of the company. It features enterprise-level scalability, allowing for a wide range of applications from small operations within a single department to large-scale use across multiple organizations. It robustly protects confidential information within the company through on-premises operations and detailed permission settings. Since it is pre-packaged according to use cases and scale, there are only three necessary steps, enabling immediate operational start. With simple initial settings, it can be utilized right after purchase. 【Features】 ■ Enterprise-level extensibility and scalability ■ Secure protection of company information with on-premises implementation ■ 3-step implementation, no complex design required *For more details, please refer to the related links or feel free to contact us.
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Supermicro offers a wide range of products capable of meeting all of our customers' demands. 【Features】 ■ Most optimized design ■ A wide selection of server products ■ The best choice for high-end server products ■ Excellent price-performance ratio ■ High availability ■ High performance and high quality ■ High-density implementation ■ Flexible product lineup customizable to customer needs *For more details, please feel free to contact us.
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