23 ms·

Can recommend this link; it's a one-click victory in buzzword bingo: > As businesses adapt to capitalize on digital, trust will be the currency that drives thi

by Athas 9y ago

Can recommend this link; it's a one-click victory in buzzword bingo: > As businesses adapt to capitalize on digital, trust will be the currency that drives this new economy. > With z14 you can apply machine learning to your most valuable data to create deeper insights. > In the digital economy data is the differentiator. IBM z14 can rapidly derive actionable insights and enable progressively smarter decisions for better customer experiences and new revenue streams. > IBM z14 can help you accelerate development and delivery of secure, scalable services with new economic models. With such key features as: "100% encryption is 100% mainframe" "Trust – the foundation of digital relationships" "Facilitate new secure services with Java" I actually like IBM mainframe tech, but this page is hilarious.

zitterbewegung 9y ago
You forgot that they mention blockchain technology.
- scrumper 9y ago
  And how! "Blockchain with IBM Z creates unprecedented levels of trust and transparency, allows alignment with cognitive capabilities and enables deployment in the cloud."
  - pantulis 9y ago
    Classy!
  - qubex 9y ago
    BINGO!
- rishabhd 9y ago
  Spoke my mind.
le-mark 9y ago
The one important part in all the buzzwords: > New software pricing tied to business value So, it's like a tax on your business, if you succeed, so do they! All joking aside, has anyone used mainframes for a greenfield project in the last 20 years? I'm genuinely curious. I've been under the impression the only reason they're still around is because of the massive 20 Million LOC cobol apps hanging around. I've often thought I'd much rather have a cheap, featureful "walled garden" PAAS for side and small projects, as opposed to wrangling vms and containers all the time. Mainframe could fit this use case.
- bluedino 9y ago
  They make some capacity and performance claims when it comes to modern software: >> it can run the world's largest MongoDB instance with 2.5x faster NodeJS performance compared to paltry x86-based platforms. It supports 2,000,000 Docker containers and 1,000 concurrent NoSQL databases.
  - dx034 9y ago
    Don't you use mainframes to have one very powerful machine? Like the central system of a large bank that needs to ensure transactions for millions of accounts book correctly. If you run VMs anyway, aren't x86 server cheaper? (honest question, don't know much about that)
    - chinathrow 9y ago
      Mainframes used to be a lot about concurrent I/O for transaction processing - e.g. booking/check-in/handling of airline passengers or yes, batch transactions in the millions (e.g. end of day calculation within banks or financial information providers). TCO might be lower with x86 these days, it all depends on your workload.
      - Ashleyleo 9y ago
        Are you boring your life for pocket money.if u don’t worry for your pocket money I share my home profit system to everyone.i enjoy my life because I using this easy online jobs and earning $25986 daily wovrk for only 3 hours a day online for doing thivs easiest online home jobz.for more details visit this link… ᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵwww.joinmate2.comᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵCOPY THE LINK.:) AND GOOD LUCK.:)
jordache 9y ago
machine learning.. ok what ML platform would one run on it? Doesn't it make more sense to use a cloud ML provider? scale infinitely? Or does it only apply to companies that doesn't want its data to get out to the cloud?
- Athas 9y ago
  Yes, this is what genuinely puzzles me the most. I get that mainframes have their place for highly stable IO-heavy processing, but I've never heard anyone claim that they are particularly effective for compute-bound workloads. Especially when machine learning does not require much robustness - you just reboot the cluster nodes when they crash (and they will, because GPU drivers are crap).
  - Melanie545 9y ago
    -I freelance over the internet and earn about 90-95$ an hour. I was without a job for 6 months but last month my paycheck with big fat bonus was $18000 just working on my computer from my home for 4-5 hours. Here's what i have been doing... look at this site==== >>https://is.gd/qKRnJt https://is.gd/qKRnJt
  - lostboys67 9y ago
    Yes I thought it was commodity systems with dual xenon's and a MFT of memory and 24-36 TB DASD per node and for networking your choice of (infiniband / 10g/ 40g) for hadoop style HPC you can of course add GPU's there are some workstation boards specifically designed for this
- microtherion 9y ago
  > ok what ML platform would one run on it? Not sure, but it will definitely be called "Watson"
- nepife 9y ago
  It more about the fact that tons of customer data and transaction history are already on the platform. Why move the data when you can do the science locally.
cesarb 9y ago
I have a better link. Scroll down to the end, and click on "Redbooks"; there you'll find the technical information we HN readers tend to be more interested in. In particular this one: "IBM z14 Technical Introduction" https://www.redbooks.ibm.com/redbooks/pdfs/sg248450.pdf https://www.redbooks.ibm.com/redbooks/pdfs/sg248450.pdf (I'm still reading it, but page 5 already has a short list with "the main technical enhancements in the z14 over its predecessor platforms").
- rbanffy 9y ago
  > Up to 32 TB of addressable real memory per system. Imagine how many tabs you can keep open with this ;-) Also, each processor has 128 MB of L3 cache, compared to 38 of the priciest Xeon, and an L4 cache to complete that.
  - Andreae43 9y ago
    our classmate's sister-in-law makes 62 per hour on the internet... she has been without work for six months, the previous month her check was 17633 only working at home for 4 hours each day. see this link ----------------->>http://www.fl-y.com/3pbr http://www.fl-y.com/3pbr
  - majidazimi 9y ago
    No matter how much memory you have, chrome will find a way to consume it.
  - fs111 9y ago
    20-30 I guess...
- bentoner 9y ago
  Here's a diff of the z13 and z14 Technical Introductions: https://draftable.com/compare/quHdhGnzauCm https://draftable.com/compare/quHdhGnzauCm
rbanffy 9y ago
> one-click victory in buzzword bingo: https://vimeo.com/12112636 https://vimeo.com/12112636
deleted 9y ago
[deleted]

by Athas 9y ago

zitterbewegung 9y ago

You forgot that they mention blockchain technology.

scrumper 9y ago
And how! "Blockchain with IBM Z creates unprecedented levels of trust and transparency, allows alignment with cognitive capabilities and enables deployment in the cloud."
- pantulis 9y ago
  Classy!
- qubex 9y ago
  BINGO!
rishabhd 9y ago
Spoke my mind.

le-mark 9y ago

The one important part in all the buzzwords: > New software pricing tied to business value So, it's like a tax on your business, if you succeed, so do they! All joking aside, has anyone used mainframes for a greenfield project in the last 20 years? I'm genuinely curious. I've been under the impression the only reason they're still around is because of the massive 20 Million LOC cobol apps hanging around. I've often thought I'd much rather have a cheap, featureful "walled garden" PAAS for side and small projects, as opposed to wrangling vms and containers all the time. Mainframe could fit this use case.

bluedino 9y ago
They make some capacity and performance claims when it comes to modern software: >> it can run the world's largest MongoDB instance with 2.5x faster NodeJS performance compared to paltry x86-based platforms. It supports 2,000,000 Docker containers and 1,000 concurrent NoSQL databases.
- dx034 9y ago
  Don't you use mainframes to have one very powerful machine? Like the central system of a large bank that needs to ensure transactions for millions of accounts book correctly. If you run VMs anyway, aren't x86 server cheaper? (honest question, don't know much about that)
  - chinathrow 9y ago
    Mainframes used to be a lot about concurrent I/O for transaction processing - e.g. booking/check-in/handling of airline passengers or yes, batch transactions in the millions (e.g. end of day calculation within banks or financial information providers). TCO might be lower with x86 these days, it all depends on your workload.
    - Ashleyleo 9y ago
      Are you boring your life for pocket money.if u don’t worry for your pocket money I share my home profit system to everyone.i enjoy my life because I using this easy online jobs and earning $25986 daily wovrk for only 3 hours a day online for doing thivs easiest online home jobz.for more details visit this link… ᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵwww.joinmate2.comᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵᴵCOPY THE LINK.:) AND GOOD LUCK.:)

jordache 9y ago

machine learning.. ok what ML platform would one run on it? Doesn't it make more sense to use a cloud ML provider? scale infinitely? Or does it only apply to companies that doesn't want its data to get out to the cloud?

Athas 9y ago
Yes, this is what genuinely puzzles me the most. I get that mainframes have their place for highly stable IO-heavy processing, but I've never heard anyone claim that they are particularly effective for compute-bound workloads. Especially when machine learning does not require much robustness - you just reboot the cluster nodes when they crash (and they will, because GPU drivers are crap).
- Melanie545 9y ago
  -I freelance over the internet and earn about 90-95$ an hour. I was without a job for 6 months but last month my paycheck with big fat bonus was $18000 just working on my computer from my home for 4-5 hours. Here's what i have been doing... look at this site==== >>https://is.gd/qKRnJt https://is.gd/qKRnJt
- lostboys67 9y ago
  Yes I thought it was commodity systems with dual xenon's and a MFT of memory and 24-36 TB DASD per node and for networking your choice of (infiniband / 10g/ 40g) for hadoop style HPC you can of course add GPU's there are some workstation boards specifically designed for this
microtherion 9y ago
> ok what ML platform would one run on it? Not sure, but it will definitely be called "Watson"
nepife 9y ago
It more about the fact that tons of customer data and transaction history are already on the platform. Why move the data when you can do the science locally.

cesarb 9y ago

I have a better link. Scroll down to the end, and click on "Redbooks"; there you'll find the technical information we HN readers tend to be more interested in. In particular this one: "IBM z14 Technical Introduction" https://www.redbooks.ibm.com/redbooks/pdfs/sg248450.pdf https://www.redbooks.ibm.com/redbooks/pdfs/sg248450.pdf (I'm still reading it, but page 5 already has a short list with "the main technical enhancements in the z14 over its predecessor platforms").

rbanffy 9y ago
> Up to 32 TB of addressable real memory per system. Imagine how many tabs you can keep open with this ;-) Also, each processor has 128 MB of L3 cache, compared to 38 of the priciest Xeon, and an L4 cache to complete that.
- Andreae43 9y ago
  our classmate's sister-in-law makes 62 per hour on the internet... she has been without work for six months, the previous month her check was 17633 only working at home for 4 hours each day. see this link ----------------->>http://www.fl-y.com/3pbr http://www.fl-y.com/3pbr
- majidazimi 9y ago
  No matter how much memory you have, chrome will find a way to consume it.
- fs111 9y ago
  20-30 I guess...
bentoner 9y ago
Here's a diff of the z13 and z14 Technical Introductions: https://draftable.com/compare/quHdhGnzauCm https://draftable.com/compare/quHdhGnzauCm

rbanffy 9y ago

> one-click victory in buzzword bingo: https://vimeo.com/12112636 https://vimeo.com/12112636

deleted 9y ago

[deleted]