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Watch Meta’s engineers discuss optimizing large-scale networks

Engineering at Meta

Also, the pivot to metaverse has led to a significant increase in AI, HPC, and machine learning workloads that demand huge networking bandwidth and compute capacity and pose challenges around safe co-existence of existing web, legacy and modern workloads.

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How Amazon S3 Stores 350 Trillion Objects with 11 Nines of Durability

ByteByteGo

5 ⭐ on G2 Schedule a demo to learn more Disclaimer: The details in this post have been derived from Amazon Engineering Blog and other sources. All credit for the technical details goes to the Amazon engineering team. All credit for the technical details goes to the Amazon engineering team.

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Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine

Engineering at Meta

Unlocking advertiser value through industry-leading ML innovation Meta Andromeda is a personalized ads retrieval engine that leverages the NVIDIA Grace Hopper Superchip, to enable cutting edge ML innovation in the Ads retrieval stage to drive efficiency and advertiser performance.

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How Instagram Scaled Its Infrastructure To Support a Billion Users

ByteByteGo

Register for Free Disclaimer: The details in this post have been derived from Instagram Engineering Blog and other sources. All credit for the technical details goes to the Instagram engineering team. Every media file must be optimized for different devices, ensuring smooth playback while minimizing bandwidth usage.

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A RoCE network for distributed AI training at scale

Engineering at Meta

We ensure that there is enough ingress bandwidth on the rack switch to not hinder the training workload. The BE is a specialized fabric that connects all RDMA NICs in a non-blocking architecture, providing high bandwidth, low latency, and lossless transport between any two GPUs in the cluster, regardless of their physical location.

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Article: Low-Code Tools Optimize Engineering Time for Internal Applications

InfoQ Articles

Internal tools are critical pieces of software, often custom-built, and requiring significant developer bandwidth. Low-code platforms can optimize developer productivity, facilitate collaboration, and allow less technical employees to be more active in the development process. By Nikhil Nandagopal.

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Logarithm: A logging engine for AI training workflows and services

Engineering at Meta

Systems and application logs play a key role in operations, observability, and debugging workflows at Meta. At a high level, Logarithm comprises the following components: Application processes emit logs using logging APIs. verbosity) in application code. learning rate), model internal state tensors (e.g., Multimodal data (e.g.,