The need for evolving data center-caliber technologies architected to deliver higher performance and enable powerful centralized edge processing is growing exponentially. Greater amounts of data ingest from sensors must be analyzed in real-time to gain actionable insights for decision-making and competitive advantages.
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 and Mercury to learn more about how they are:
- Speeding low-latency, network-attached everything at the edge with disaggregated processing
- Enabling GPU parallel computing resources via high-speed Ethernet networks without an x86 host
- Pairing NVIDIA DPUs and GPUs for high-performance applications
- Designing Rugged Distributed Processing (RDP) servers that reduce SWaP, cost and complexity of deploying GPU servers
WHO WE ARE
- About Us: https://www.mrcy.com/company
- Our Capabilities: https://www.mrcy.com/capabilities
- Our Products: https://www.mrcy.com/products
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