Amazon EC2 Instance Update – Faster Processors and More Memory
aws.amazon.com
aws.amazon.com
However it's a great way of proving that we are not ready for computers to read to us yet.
I now use the audio version as a second form of proofreading, and find that it helps me to find places where my written transitions could be better.
I agree that there's room to make the contents of the table sound better, but I am not sure what direction this should go in. Suggestions are welcome!
Example:
"Table 1: Row 1: [Instance name: z1d.large] ... [vCPUs: 2] ... [Memory: 16 GB] ... [Local Storage: 1 x 75 GB NVMe SSD] ... [EBS-Optimized Bandwidth: Up to 2.333 Gbps] ... [Network Bandwidth: Up to 10 Gbps] ... [pause] ... Row 2: [...]"
This is how a human would read it, so Polly should do it that way too. What a human actually ends up doing though, is reference the preceding row for each subsequent row. Something like "z1d.xlarge has double the vCPUs, double the Memory, and double the Local Storage, with EBS-Optimized Bandwidth and Network Bandwidth the same." -- I don't think you are at that point yet with Polly ;)
The plugin is open source and we welcome PRs at https://github.com/awslabs/amazon-polly-wordpress-plugin . Feel free to code something up and give it a try :-)
https://aws.amazon.com/blogs/aws/amazon-polly-update-time-dr...
I am messaging the team to see how we might use this for the plugin.
The Xeons are not the lastest or fastest models in the city but are good enough, the difference with newer models and higher clock speeds will probably be in 1-10% processing power for most workloads, unless you are _very_ CPU bound.
https://www.arsys.net/servers/dedicated
Of course this is _not_ a 1:1 comparasion with EC2. This are unmanaged bare metal servers (with good http APIs and webpanels to admin though) but sometimes that is good enough and you can save a good chunk of money. You can up/down a server instantly (well - minutes) and you wont be charged if you are not using it.
It may also be an attempt at making the content accessible to blind or otherwise visual-reading-impaired users.
It is a cool way to demo their tech though
How would Human read a table though? I think table is mainly for the eyes, reading tables seems wasteful.
Intel® Turbo Boost Max Technology 3.0 uses a driver coupled with information stored in the CPU. It identifies and directs workloads to the fastest core on the die first. The driver also allows for custom configuration via a whitelist that enables end users to set priority to preferred applications. The driver MUST be present on the system and configured correctly, as current operating systems can't effectively route workloads to ordered cores.
https://www.intel.com/content/www/us/en/support/articles/000...
Sounds rather impressive. Are similar Xeons available anywhere else?
And on GCP the best CPU is 2.6 GHz Intel Xeon E5 (Sandy Bridge)
So when these Z1d instances are GA they will be the fastest available VM's across the major clouds.
AWS T2, M5, M5d, C5, C5d, X1e, X1, R4, H1, I3, D2 vs GCE standard, memory optimized, or compute optimized. Want a custom amount of cores and memory on GCE? No problem, just punch it in.
Then there is EC2 billing... Google Cloud sustained use and committed use discounts are superior yet again.
* 16 vCPU at 3.0 GHz/3.5 GHz Turbo
* 32 GB RAM
* $0.68/hr on demand, $0.43/hr reserved, ~$0.24/hr spot
You could argue that's too expensive, but the cost is coming from the compute, not the 32 GB of memory.
I don't know about spot pricing, but on demand pricing for c5's is about 15% less than the c4's.
If you look at c5d's with ephemeral storage they are still a bit cheaper than c4's.
https://aws.amazon.com/blogs/aws/now-available-r5-r5d-and-z1...