High Scalability

SEPTEMBER 14, 2018

72 : signals sensed from a distant galaxy using AI; 12M : reddit posts per month; 10 trillion : per day Google generated test inputs with 100s of servers for several months using OSS-Fuzz; 200% : growth in Cloud Native technologies used in production; $13 trillion : potential economic impact of AI by 2030; 1.8 They'll love you even more.

Internet 30

Internet Internet Scalability Education 30

Brendan Gregg

OCTOBER 28, 2024

Imagine halving the resource costs of AI and what that could mean for the planet and the industry -- based on extreme estimates such savings could reduce the total US power usage by over 10% by 2030 1. This flame graph profiler is a prototype based on Intel EU stall profiling for hardware profiling and eBPF for software instrumentation.

Programming 130

Programming Hardware Tuning C++ 130

ACM Sigarch

AUGUST 3, 2023

Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. Chien’s argument: Embodied carbon numbers are disproportionately large Rebuttal: Large embodied carbon numbers are reported by companies who have set public goals to reach net zero emissions by 2030.

Energy 98

Energy Architecture Hardware Metrics 98

VoltDB

JUNE 26, 2024

To this end, more and more manufacturers are investing in intelligent manufacturing technology that enables them to create highly adaptive, efficient, and responsive production systems that enhance output and improve product quality while minimizing waste. billion by 2030, an uptick from $310.92

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. For instance, GSMA predicts that 5G will only comprise half of connections by 2030. was a system properly localised? Regulatory roadblocks are still being cleared.

Performance 98

Performance Network Mobile Speed 98

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. A rough guide if you don’t have any better data is that with no traffic to a system it will be 10% utilization and use 30% of peak power, 25% utilization uses 50% of peak power, and at 50% utilization it uses 75% of peak power.

Energy 52

Energy Cloud Traffic Transportation 52