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A RoCE network for distributed AI training at scale

Engineering at Meta

We opted for RDMA Over Converged Ethernet version 2 (RoCEv2) as the inter-node communication transport for the majority of our AI capacity. This backend fabric utilizes the RoCEv2 protocol, which encapsulates the RDMA service in UDP packets for transport over the network. DCQCN has been the gold standard for storage-focused networks.

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How Netflix brings safer and faster streaming experience to the living room on crowded networks…

Netflix Tech

To achieve that, we are efficiently using ABR (adaptive bitrate streaming) for a better playback experience, DRM (Digital Right Management) to protect our service and TLS (Transport Layer Security) to protect customer privacy and to create a safer streaming experience. is the latest version of the Transport Layer Security protocol.

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Quantifying Efficiency in Ridesharing Marketplaces

Lyft Engineering

Optimal transport At the core of the Lyft platform is the matching algorithm that dispatches drivers to satisfy rider demand. First, define a non-negative valued transport function γ(i, j) and a cost function c(i, j). That is, we’d like our transport function to move drivers but not riders.

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Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. Some of the popular smart city projects include smart transportation, smart energy, and smart waste management. If you want to know more about IoT, check out online IoT training.

Coding 98
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Top 20 Artificial Intelligence Project Ideas in 2023

Knowledge Hut

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96
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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

million), the Louisiana Department of Motor Vehicles (6 million), and Oregon’s Department of Transportation (3.5 Governments should establish clear guidelines and regulations surrounding the use of AI, ensuring that algorithms are fair, unbiased, and respectful of privacy rights. million), among others.

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Unleashing Data Potential: Chaining Data Products for Powerful Use Cases

The Modern Data Company

Fraud Detection : Chaining data products involving transactional data, machine learning models, and anomaly detection algorithms can empower organizations to combat fraud effectively. By integrating data from various supply chain touchpoints, organizations can gain visibility into inventory levels, transportation routes, and demand forecasts.