Super Micro Computer, Inc. (Supermicro) announced an expansion of its enterprise solutions portfolio with new systems incorporating NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and NVIDIA Vera CPUs. These new offerings are designed to address the growing demand for accelerated computing in enterprise data centers, AI factories, and edge environments, particularly in space, power, and thermal-constrained settings. The company is also providing NVIDIA-Certified Systems, ensuring compatibility with NVIDIA RTX PRO Blackwell GPUs, NVIDIA networking, and NVIDIA AI Enterprise software. This expansion aims to accelerate various enterprise workloads, including LLM fine-tuning, AI inference, generative AI, VDI, and data analytics, by offering flexible, modular solutions that can be integrated into existing infrastructure with minimal modifications.
Supermicro's expansion with NVIDIA's latest GPUs and CPUs targets critical enterprise AI and data center needs, offering solutions for space and power-constrained environments. This move enables broader adoption of accelerated computing, potentially lowering barriers to entry for advanced AI workloads and improving efficiency in existing data centers.
Supermicro introduces new enterprise solutions featuring NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and NVIDIA Vera CPUs.
The new systems are optimized for space, power, and thermal-constrained enterprise data center and edge environments.
Supermicro offers NVIDIA-Certified Systems for seamless integration and compatibility with NVIDIA's accelerated computing ecosystem.
The press release originates from the US (San Jose, California) and targets a global market, with specific mention of enterprise data centers and edge computing, which are relevant across North America, Europe, and Asia.
Supermicro offers NVIDIA-Certified Systems for seamless integration and compatibility with NVIDIA's accelerated computing ecosystem.
The expanded portfolio supports a wide range of AI and graphics-intensive enterprise workloads.
Sign in to save notes on signals.
Sign In