aws-graviton-getting-started
flops
| aws-graviton-getting-started | flops | |
|---|---|---|
| 62 | 2 | |
| 817 | 26 | |
| 1.5% | - | |
| 8.5 | 10.0 | |
| 5 days ago | over 5 years ago | |
| Python | C | |
| GNU General Public License v3.0 or later | - |
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aws-graviton-getting-started
- AWS Graviton Technical Guide
- Cómo comenzar a trabajar con AWS Graviton: La pregunta del Millón
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What infra did you deploy for Iceberg/Hudi/Delta?
EMR serverless + Athena + Glue works for us. We are evaluating Graviton instance to further optimize stuff. AWS link if you are interested
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Slash CAPEX, OPEX, and Carbon Emissions with T408
Now we turn our attention to carbon emissions which are presented in Table 8. In the table, the AMD – CPU only and AMD – T408 server watts/hour are actual measurements on the test system during operation. To estimate the AWS server watts/hour, we reduced the CPU-only AMD number by 60%, which is the savings that Amazon claims that Graviton3 CPUs provide over other CPUs. In all three cases, we multiplied this by the number of servers, then hours, days, and years, to compute the three-year power consumption total.
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Framework ARM
https://aws.amazon.com/ec2/graviton/ https://cloud.google.com/compute/docs/instances/arm-on-compute
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Google Has Developed Its Own Data Center Server Chips
From the relevant product page [0]:
"AWS Graviton3 processors feature always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication."
Further reading on pointer authentication [1].
[0] https://aws.amazon.com/ec2/graviton/
[1] https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets...
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can i repurpose a server and make it a computer
Amazon makes their own Arm CPUs, like the Graviton3: https://aws.amazon.com/ec2/graviton/
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Cost Cutting AWS strategies
Read More about Graviton Processors
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Blackberry Partnership Panning Out!
According to BlackBerry, both QNX and IVY can run on EC2 instances powered by AWS’ Graviton2 processor. Graviton2 is an internally-developed processor that AWS debuted at re:Invent last year. It promises to provide up to 40% better price performance than comparable chips. "
- AWS Graviton
flops
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Moore's Law, AI, and the pace of progress
There are no CPU Gflops/W benchmarks on M1 but my freinds who have M1 laptops used this code to test it: https://github.com/brianolson/flops
The M1 is only good at highly specialized tasks that they have custom designed hard/firm/soft-ware for; which are all locked both legally and technically into a tomb where it will remain until the end of humanity.
If you spend one second even thinking about, them you are wasting time for eternity!
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M1 Pro First Impressions: Core Management and CPU Performance
So a friend that has a M1 did this test: https://github.com/brianolson/flops/blob/master/flops.c
And the 5nm M1 has ~2.5Gflops/W which is not a huge increase compared to the 28nm Pi 4 at 2Gflops/W.
No-moores law in effect. Game Over!
What are some alternatives?
drupal-pi - Drupal on Docker on a Raspberry Pi. Pi Dramble's little brother.
rust-crc32fast - Fast, SIMD-accelerated CRC32 (IEEE) checksum computation in Rust
KasmVNC - Modern VNC Server and client, web based and secure
mmperf - MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.
buildx - Docker CLI plugin for extended build capabilities with BuildKit
performance_results - performance results/benchmarks for a variety of machines
examples - TensorFlow examples
xcode-hardware-performance - Results from running Xcode on a non-trivial open source project using various Macs
sysbench - Scriptable database and system performance benchmark
PurefunctionPipelineDataflow - My Blog: The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Amethyst - Automatic tiling window manager for macOS à la xmonad.