Amaryllo is heading to Singapore’s first major technology and electronics event of the year — IT SHOW 2026! The show runs from March 12 to 15 at Suntec Singapore, and Amaryllo will be at Booth #8418.

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.