The paradigm for scaling rugged mission-critical processing resources at the edge is evolving rapidly. Disaggregating processing is now enabling low-latency, network-attached everything at the edge with high-speed Ethernet connectivity, from GPU servers to NVMe-over-fabric storage devices.
Learn how a new data center-class, all-flash network-attached storage system can help solve your big data, ...
Learn how a new data center-class, all-flash network-attached storage system can help solve your big data, mission critical AI and machine learning applications challenges in rugged environments.
For the first time in the market, there is an optimized network-attached rugged distributed GPU processing system purpose-built for challenging AI edge workloads. Join NVIDIA & Mercury to learn more.
Optimized networked-attached GPU distributed processing architecture delivers NVIDIA A100 GPU parallel computing resources over dual 100 Gbit Ethernet network connections without requiring an x86 host
Mercury Systems and VAST Federal work closely to deliver a rugged data center-class all-flash network-attached storage (NAS) system for edge-based data capture and real-time AI application use.
Mercury rugged edge servers help New York City (NYC) Transit ensure underground transportation safety with real-time information.
Our servers are designed from the ground up for C5ISR and other mission-critical applications where performance, reliability and availability are crucial. View our entire rugged server offering.
Take advantage of GPU data processing and AI/ML capabilities at the tactical edge by managing the challenges of extreme environment operation, SWaP-constrained platforms, and mitigating security risks
Discover how technologies developed by Mercury Systems and NVIDIA scale the best AI-enabling data center processing capabilities to the edge for real-time decision-making.
Eliminate bottlenecks, process, store and move huge volumes of sensor data at 5G speeds and accelerate time to insight for all of your compute-hungry applications with RES XR7 rugged rack servers.
In this webinar, you will learn how Mercury Systems, NVIDIA and SigmaX are securing machine learning for multi-domain operations with agile edge servers and cloud-native open software stacks.
PCIe Gen 4 technologies increase application efficiency by eliminating bottlenecks and increasing throughput for multi-domain, compute-intensive applications at the edge.
For more than 20 years, Mercury has been working closely with NVIDIA to help solve the world’s most complex processing challenges. As a preferred partner, Mercury is bringing NVIDIA’s latest #GPU and
By utilizing the NVIDIA EGX edge AI platform for edge computing, coupled with open software stacks, machine learning (ML) data can be deployed and accelerated to retain operational advantage....
Hear how Mercury and NVIDIA are working together to deliver the latest data center technologies to accelerate AI applications and large-scale analytics at the edge.
Learn about building systems with GPUs and FPGAs including challenges, use cases, when to choose one over the other, and why they are crucial for Big Data Analytics and Machine Learning
Learn what big data is and why the military relies on big data data pipelines to drive artificial intelligence and ensure mission success in the multi-domain battlefield.
Engineered to tackle challenging workload, our rugged servers harness parallel processing to maximize throughput, boost productivity and push boundaries of compute-heavy mission-critical applications.
Data center GPU coprocessing for aerospace and defense: High-performance computing has evolved into high-performance embedded edge computing.
Uncompromised data center processing capability deployable anywhere Evolving compute-intensive AI, SIGINT, autonomous vehicle, Electronic Warfare (EW), radar and sensor fusion applications require...