最新消息与更新

Transforming modular data center operations with AI-driven predictive intelligence, real-time monitoring, biometric security, and energy optimization.

Amaryllo to Unveil Turnkey Modular Data Center Ecosystem Backed by a Global Infrastructure Partner Network at COMPUTEX 2026

Amaryllo is pleased to announce a strategic partnership with Aurora Energy & AI Group Inc. to support the deployment of NVIDIA GB300 and H100-based AI infrastructure.

As artificial intelligence continues to scale at an unprecedented pace, one challenge is becoming impossible to ignore: power.

We’re excited to return to Japan and participate for the first time at IT Week Tokyo Spring Show, Japan’s largest IT and Digital Transformation (DX) event. Bringing together industry leaders, innovators, and technology professionals from across the region, the event provides an ideal platform to explore the future of digital transformation and enterprise technology. This year marks an important milestone as we showcase the latest developments in HP Cloud. We look forward to m

With generative AI and large language models (LLMs) advancing rapidly, building a GPU cluster is no longer just about “having GPUs.” When a cluster reaches dozens or even hundreds of nodes, the real differentiator is not raw hardware but how well the cluster is designed, administered, and optimized for real-world AI workloads.

Amaryllo is thrilled to announce a strategic partnership between its Global Supercomputing Network (GSN) and G-TECH Corp. 株式会社 in Japan. This collaboration aims to promote and expand access to hyperscale supercomputing services powered by NVIDIA's cutting-edge Blackwell Ultra architecture, including the high-performance B300 GPUs and GB300 NVL72 systems.

Explore the SUPERMICRO AS-5126GS-TNRT2, a 5U dual-processor rack server supporting up to 10 NVIDIA RTX PRO 6000 GPUs. Perfect for AI, deep learning, HPC, and 3D rendering workloads.

As artificial intelligence continues to grow, it is important to measure how efficiently hardware and software can handle real-world AI workloads. The MLPerf Inference 5.1 benchmark provides a standardized way to do this. In recent tests, the Cisco C845A rack server, equipped with eight NVIDIA H200 NVL PCIe GPUs, was used to evaluate the performance of Meta’s Llama2-70B, a large language model with 70 billion parameters.