aws-graviton-getting-started
PurefunctionPipelineDataflow
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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
PurefunctionPipelineDataflow
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Goodbye, Clean Code
Implement relational data model and programming based on hash-map (NoSQL)
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How can I learn functional programming?
The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with Principle-based Warehouse/Workshop Model
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Does Intel have an answer (or developing one) for AMDs Infinity Fabric?
I criticized "AMD Infinity Fabric Architecture" at the end of my article "Prediction: Intel will use "RISC-V plus x86 compatibility layer" or "RISC-V plus x86 heterogeneous computing architecture" to develop a new generation of "warehouse/workshop model" CPU".
- The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
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What should I do to defend my rights if the architecture of the Apple M1 chip is plagiarized from my theory and architecture?
What's more, you're being somewhat liberal with your "invention" dates here anyway. I'm sure you realize that anyone can review the commit history to see when content was added to the repo. As of Nov 2020, the day Apple announced a fully operational and tested, ready-to-ship silicon package the repo was a just series of bullet points listing out well-known concepts of functional programming sprinkled with some religious analogies and inspirational quotes. The farther you go back in the repo commit history, the less content is there.
- Apple M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designer who have worked at Apple for decades)
- M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designers who have worked at Apple for decades)
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