トゥモロー・ネット Product Lineup

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The NVIDIA RTX 6000 Ada is a workstation graphics card designed for professionals. With CUDA cores based on the NVIDIA Ada Lovelace architecture, single-precision floating-point (FP32) calculations are accelerated to twice the speed of the previous generation. The 4th generation Tensor cores adopt the FP8 data format, delivering more than twice the AI performance of the previous generation. Equipped with 48GB of GDDR6 memory, it provides the large memory necessary for tasks that utilize vast datasets such as rendering, data science, and simulations. It also supports virtualization. 【Features】 ■ CUDA cores based on the NVIDIA Ada Lovelace architecture ■ 3rd generation RT cores ■ 4th generation Tensor cores ■ 48GB of GPU memory ■ AV1 encoder ■ Virtualization support *For more details, please refer to the related links or feel free to contact us.

The NVIDIA H100 is a GPU equipped with the 4th generation Tensor cores and a Transformer Engine that operates at FP8 precision, improving the training speed of mixed expert (MoE) models by up to 9 times compared to the previous generation. It achieves efficient scalability from small enterprises to large integrated GPU clusters. The deployment of H100 GPUs at data center scale delivers exceptional performance, bringing exascale high-performance computing (HPC) and trillion-parameter AI to researchers. 【Features】 ■ Advanced AI training technology ■ Real-time deep learning inference ■ Exascale high-performance computing ■ Accelerated data analysis ■ Efficient use in enterprises ■ Built-in confidential computing *For more details, please refer to the related links or feel free to contact us.