The Morning Paper

MAY 14, 2019

Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. A DNN model is trained to recognise patterns in space and time that lead to QoS violations. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Hardware And E-Waste. But there are plenty of actions we can take that reduce our environmental impact and reduce costs (or increase revenue) at the same time. Watch the video of Jamie’s talk from Green Tech South West.

Strategy 123

Strategy Development Energy Website 123

Alex Russell

APRIL 29, 2021

Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance.

Media 145

Media Games Education Engineering 145

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem. Or is there still room for growth?

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

Alex Russell

JUNE 20, 2020

built-in relational SQL database engines. In each quantum of time, hardware and OS vendors press ahead, adding features. As OS and hardware deployed base integrate these components, the set of what most computers can do is expanded. This is often determined by hardware integration and device replacement rates.

Hardware 55

Hardware Games Java Media 55

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 160

Scalability Hardware AWS Tuning 160

The Netflix TechBlog

FEBRUARY 13, 2020

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. High-Efficiency Video Coding ( HEVC ) is the successor of H.264, 264, a.k.a.

Code 212

Code Metrics Efficiency Open Source 212

O'Reilly

OCTOBER 11, 2022

However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Was it trained using biased, unfair data?

Games 115

Games Healthcare Processing Retail 115

High Scalability

NOVEMBER 25, 2019

Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52