Supermicro X14 Systems Deliver Outstanding Storage Performance and Power Efficiency for Optimal Storage Solutions in AI, HPC, and Critical Enterprise Applications.
Enterprises face significant hurdles in the quest for new AI functionality in their business processes and products. According to IDC research, 50% of respondents worldwide say that less than half of their AI-related projects have delivered measurable business outcomes, and only 11.4% report that they are obtaining measurable business results from more than 75% of their AI projects.
Introducing 4 storage essentials for enterprise AI success; explore how to right-size data lakes (for aggregating enterprise data) and lakehouses (for running analytics) to power success in the AI era.
Adopting Direct-to-Chip Liquid Cooling to Help Address Exponentially Increasing Power Consumption
Neoclouds Move AI Builders Faster – From Inspiration to Empire
Supermicro Hyperscale AI Platform in Ultra-Compact Design: NVIDIA HGX™ B300 System Optimized for OCP ORV3 Design with up to 144 GPUs in a Rack
The Proven Platform for Large-Scale AI Workloads, Upgraded with Ultra Performance: Now featuring NVIDIA Blackwell Ultra, Supermicro’s NVIDIA HGX B300 solutions enable rapid deployment of the industry’s highest-performing AI infrastructure to tackle the largest-scale AI training, real-time AI reasoning, agentic AI applications, multimodal AI inference, and physical AI applications.
In this transformative moment of AI, where the evolving scaling laws continue to push the limits of data center capabilities, our latest NVIDIA Blackwell-powered solutions, developed through close collaboration with NVIDIA, offer unprecedented computational performance, density, and efficiency with the next generation air-cooled and liquid-cooled architecture. With our readily deployable AI Data Center Building Block solutions, Supermicro is your premier partner to start your NVIDIA Blackwell journey, providing sustainable, cutting-edge solutions that accelerate AI innovations.
RAG-ready enterprise AI solution from Supermicro & NVIDIA
Supermicro’s AS ‑4145GH‑TNMR server and AMD’s Instinct™ MI300A APU deliver a unified CPU/GPU architecture with shared high‑bandwidth memory, dramatically lowering data‑transfer latency and enabling new performance horizons for trading firms seeking real‑time, AI‑augmented trading strategies.
Traditional retail analytics rely on sales/inventory data and manual checks, leaving huge blind spots in real-time shelf availability, promotional compliance, customer behavior, and store layout effectiveness. Edge AI fixes this by automatically processing in-store video on-site to deliver instant, actionable insights – turning every store into a responsive, data-driven operation that maximizes sales, cuts waste, and improves the shopper experience.
Reducing shrink (theft, mis-scans, errors, damage) is one of the fastest ways retailers can recover lost revenue, yet traditional loss-prevention methods are slow, reactive, and prone to false alarms. Edge AI changes this by analyzing video and POS data in real time at the store level, catching issues the moment they happen, distinguishing honest mistakes from intentional acts, and alerting staff discreetly – all while protecting customer privacy and experience.
Edge AI turns in-store cameras and sensors into real-time operational tools that – rather than replace employees – help them deliver faster service, fresher food, shorter queues, and better customer experiences in grocery, deli, convenience, and food-service retail environments.
As retailers operate thousands of geographically dispersed locations, centralized edge management is essential for real-time AI, low latency, operational continuity, and security. By placing powerful compute at the edge, retailers gain centralized control, automated updates, and resilience even during network outages.
Best-Selling Server Platforms, Pre-Configured with Key Components for Reduced Lead Times
