Leverage GPU-accelerated computing to enhance energy system modeling, real-time analytics, and renewable energy integration.
GPU-Enhanced Solutions for Energy Challenges
From grid simulations to predictive analytics, our GPU-supported platforms deliver improved speed, scalability, and precision for utilities and energy operators.
Quanta Grid D74/D74F-7U
offers high-speed networking and ruggedized design for edge AI deployments.
The QuantaGrid D74/D74F-7U isn't just a server—it's a gateway to transformative computing, empowering data scientists and engineers to push the boundaries of innovation.
QuantaGrid D54Q-3U
It provides high-speed networking and scalability for deep learning and LLM training.
QuantaGrid D75H-10U
Powered by the NVIDIA HGX B300 platform with dual Intel® Xeon® 6 processors. It supports 8x NVIDIA Blackwell Ultra GPUs for 72 PFLOPS FP8 training and 144 PFLOPS FP4 inference, enabling large-scale GPU clusters for LLM training, agentic
Dual Intel® Xeon® 6 processors (e.g., 6767P model: 2.4 GHz, 64-core each, up to 350W TDP)
Up to 2TB DDR5-6400MHz (32x 64GB RDIMM slots)
2x 1.92TB NVMe M.2 SSD boot drives + 8x 3.84TB PCIe Gen5 NVMe SSDs (total ~30TB high-speed I/O)
4x FHHL PCIe Gen5 x16 slots (CXL 2.0 ready, for future expansions)
Transforming the Energy Landscape
Empowering utilities with data-driven insights and optimization for resilient, efficient, and sustainable energy systems.
Grid Modernization & Planning
Distributed Energy Resources (DER) Management
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