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