Yesterday was one thunderous right hook to Ape kind. It wasn’t swung at us, but at the notion that AMC IS CLOSE to going bananas.
They let us have a run pre earnings. They let earning drop and then thumped us with all they had (yesterday) to give.
If you noticed that Tesla had the same drop (even though Elon poll closed a day before the previous days trade). What does that tell you? That they control what’s going on. Any rational thinking would be to jump off Tesla if in it short term the day after the poll ended, but did you see the price not really moving? At least not like it did yesterday. No rational sense must be acknowledged because when you see it, you have to realise it’s not retail doing fucking anything.
Isn’t it funny how that old adage of ‘the stock market is irrational’ used to make less sense. Like you knew you could rely on it being unreliable. The more you learnt, sure - the more you could understand the buy the rumour sell the news kinda manoeuvres. But that irrationality has never been more apparent and more understood than it is today, in AMC.
Yesterday was a blip on the radar and meant nothing to me. It’s a damn shame that we aren’t in space just yet because I sure do want to pay off some debt and feel more secure in my life, but I have time and the hedgies do not.
AMC and it’s elder brother are going to have their moment and it’ll only be short lived if your vision is that way inclined.
As always, hedge funds and their minions - you’re unoriginal losers who contribute nothing. Apes, stay strong and take care of one another. Let’s be kinder to those who warrant it in our community and try to stifle the negative or mean comments we may think.
Buckle up and enjoy the one in a generation spot we are in.
(Netlist mentioned in this article!)
Global Non-Volatile In-Line Memory Module (NVDIMM) Market Forecast 2021-2026 report offers a breakdown by enterprise factors based primarily on type, applications and geographic regions. The growth techniques followed with the help of these groups are studied in detail within the report. The market size segment delivers the revenues of the Non-Volatile In-Line Memory Module (NVDIMM) market, each masking historical market growth and forecasting the future. The report also includes several valuable insight into the Non-Volatile In-Line Memory Module (NVDIMM) market size, derived from various industry sources. The report studies the competitive environment of the non-volatile in-line memory module (NVDIMM) industry share is based on company profiles and their efforts to increase product value and production.
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The Non-Volatile In-Line Memory Module (NVDIMM) Market report covers the manufacturers data including: shipping, price, revenue, gross profit, interview record, business distribution etc, this data helps the consumer to know better the competitors. This report elaborates the Non-Volatile In-Line Memory Module (NVDIMM) market size, market characteristics, and market growth and breaks down according to Type, Application and Consumption Area of Non-Volatile Memory Module (NVDIMM). non-volatile in-line memory (NVDIMM). The report also conducted a PESTEL analysis of the sector to study the main influencing factors and barriers to entry in the sector.
List of Top Manufacturer Details on the Non-Volatile In-Line Memory Module (NVDIMM) Market:
Netlist, Inc. Hewlett Packard Company Micron Technology, Inc. SMART Modular Technologies, Inc. Micron Technology, Inc. AgigA Tech Fujitsu Limited Intel Corporation Integrated Device Technology, Inc. Toshiba Corporation Samsung Electronics Co. Ltd. Diablo Technologies, Inc Viking Technology, Inc.
Covid-19 Impact (Corona Virus): In early 2021, the COVID-19 disease began to spread around the world, millions of people around the world were infected with the COVID-19 disease, and the world's major countries implemented foot bans and cut-off orders. work. Except for the medical supply and life support products industries, most industries have been severely affected and the Non-Volatile In-Line Memory Module (NVDIMM) industries have also been severely affected.
To understand how the impact of
... keep reading on reddit ➡Did COVID-19 take the fun out of people? I’m getting so mad at the men I know because I want to go out and do fun things like go bowling, top golf, maybe a movie (but not really) or just do things that create a little fun challenge between us. — These men don’t want to do any of that! Even the younger ones. One likes to do dinner and drinks and that’s something. But I can’t get anyone to do anything fun. Even if I offer to pay! They mostly just want to come over and stay in (probably f*ck) or like I said, go grab drinks which also just leads to that if too much is had.
So I got mad and just stopped taking to everyone. I feel bad about the 7 people I’ve left on delivered over the last few weeks but I’ve already communicated that I want to get out and do something NOT at my apartment and they’re still not talking about anything. Everyday “wyd.” Then get jealous if they see me out even though no other men are in the pictures. “Oh I see you had fun last night?” Yeah, I did dammit!
Is it just me? These guys aren’t scared of covid because I see them with their friends. Anyone else feel like no one wants to do fun things?
I'm in the process of converting all my pieces of Bash forgery that have been helping me setup and manage machines (both virtual as well as bare-metal ones) to Ansible.
While the parts for setting up things seem very intuitive and fitting to me (except the bootstrapping part, but that's a topic for another post), I've got some trouble understanding how mid-/long-term maintenance is supposed to be done with Ansible.
The first, very simple, example that comes to my mind is user management. Let's assume you create some local user accounts using a host-specific list variable and this code as a task:
- name: Create user accounts
user:
name: "{{ item.token }}"
comment: "{{ item.name }},,,"
loop: "{{ myserver_users }}"
How would one handle a user to be removed from that list?
- Delete the account on the server by hand?
This seems wrong to me when the whole point of writing Ansible is to avoid manual configuration and snowflake servers. - Write an Ansible Task that explicitly removes the account?
This can get very ugly very quickly, keeping footprint of all accounts that have ever existed.
To generalize from this example: how do you make sure changes to tasks manipulating dynamic objects get reflected on the target system?
With volatile systems (e.g. containers, light-weight VMs) I assume the Ansible way to go would be to destroy the current instance of a manged object, create a new one and bootstrap it with the updated Ansible code (playbook).
But how does that work with systems that are not disposable enough that they can be dumped and re-created quickly? Is Ansible even designed to support such a use case?
12-20-2021 - adding NLST 2016 DDR4 HybriDIMM product brief
http://s2.q4cdn.com/000096926/files/doc_downloads/hybridimm/HybriDIMM-Product-Brief-V9.pdf
(original posting early Sept 2021)
SK-Hynix, Micron, and Samsung SCM DIMMs are not interchangeable meaning if you have a server using a Samsung SCM DIMM, you have to use Samsung even if Micron or SK-Hynix makes the same type of DRAM chip.
2nd sourcing is virtually impossible at the SCM DIMM level.
excerpt from a 2016 article about NLST and Samsung developing HybriDIMM as part of the NVDIMM-P standard
There are three broad classes of non-volatile DIMMs – that is, memory DIMMS with flash onboard – according to JEDEC task group leader Jonathan Hinkle:
• NVDIMM-N is a DRAM/Flash hybrid memory module that only uses the Flash to save the DRAM contents upon a triggering event such as power failure. It only uses the Flash to make the data in DRAM persistent, and only needs enough Flash to do this.
• NVDIMM-F is a category we created to represent all-flash DIMMs – think ULLtraDIMM – like those made by Diablo/SanDisk.
• NVDIMM-P is not fully defined yet and may mostly have speed like DRAM, but may be somewhat slower by including capacity from NVM or NAND Flash.
Netlist says HybriDIMM is the industry's first ever Storage Class Memory technology that unifies DRAM and NAND into a resource that provides storage at near-memory speeds and memory at storage capacities, filling a price/performance gap between DRAM and flash. It is intended to help address the explosive growth of unstructured data and the increasing need to process that data in memory.
According to Netlist, HybriDIMM:
• Unites DRAM and NAND flash on LRDIMMs.
• Lowers memory costs by up to 80 per cent vs traditional DRAM.
• With buffering technology, improves access times to near-memory speed and 1000x vs PCIe SSD.
• Is 100 per cent compatible with current x86 servers.
• Uses PreSight predictive algorithms to pre-fetch and stage required data.
• Enables the scaling of "memory" to storage-level capacities in terabytes.
DDR5 Memory Spec Meets Extreme Speeds - EE Times Asia
https://www.eetasia.com/ddr5-memory-spec-meets-extreme-speeds/
DDR5 is the next generation DDR product and NLST has patents for DDR5 Power Management plus the 912 patent from DDR4 generation of products
What
... keep reading on reddit ➡Patent number: 11182284 Abstract: A memory module comprises a volatile memory subsystem, a non-volatile memory subsystem, and a module control device. The module control device is configured to read data from the non-volatile memory subsystem in response to a set of signals received from the memory channel indicating a non-volatile memory access request to transfer the data from the non-volatile memory subsystem to the volatile memory subsystem, and to provide at least a portion of the data to the volatile memory subsystem in response to receiving a dummy write memory command including a memory address related to the non-volatile memory access request via the memory channel. The volatile memory subsystem is further configured to receive the dummy write memory command and to receive the at least a portion of the first data in response to the dummy write memory command. Type: Grant Filed: February 5, 2019 Date of Patent: November 23, 2021 Assignee: Netlist, Inc. Inventor: Hyun Lee Method and apparatus for uniform memory access in a storage cluster Patent number: 11176040 Abstract: The present application presents a Uniform Memory Access (UMA) network including a cluster of UMA nodes each having at least one UMA memory unit and a server local to the at least one UMA memory unit. A respective UMA memory unit in a respective UMA node comprises persistent memory; non-persistent memory, a node control device operatively coupled to the persistent memory and the non-persistent memory, a local interface for interfacing with the local server in the respective UMA node, and a network interface for interfacing with the UMA network. The node control device is configured to translate between a local unified memory access (UMA) address space accessible by applications running on the local server and a global UMA address space that is mapped to a physical UMA address space. The physical UMA address space includes physical address spaces associated with different UMA nodes in the cluster of UMA nodes. Type: Grant Filed: March 30, 2020 Date of Patent: November 16, 2021 Assignee: Netlist, Inc. Inventors: Hyun Lee, Junkil Ryu
The global non-volatile dual in-line memory module market size was valued at USD 912.9 million in 2019 and is expected to grow at a compound annual growth rate (CAGR) of 39.7% from 2020 to 2027. Rapidly rising demand for non-volatile memory for data center applications to protect data losses from a sudden power outage is estimated to propel the market growth. Non-volatile dual in-line memory module (NVDIMM) operates as non-volatile Random-access Memory (RAM). The major advantage of this memory is to provide a secured data back-up solution due to unexpected power loss in a storage server.
U.S. NVDIMM market size To learn more about this report, request a free sample copy
Non-volatile dual in-line memory module is primarily made of a combination of DRAMs, a NAND flash, NVDIMM controller, and super capacitor. During service outage, the data has been stored from DRAM to the NAND flash with the help of a super capacitor. Additionally, once the data transmission process gets completed, the super capacitor goes into zero states. Further, when the power is back, the DRAM data has been restored from the NAND flash. Moreover, fast access to storage benefit associated with this non-volatile memory help enterprises to improve the performance of their next-generation storage and server platforms. As a result, it is further expected to fuel the adoption of non-volatile dual in-line memory module for enterprise storage applications in the next seven years.
With the evolution of next-generation 5G technology, the demand for high-performance computing is growing substantially across the globe. In addition, the growing deployment of 5G network infrastructure has surged the demand for edge computing at the customer’s premises. As a result, it is expected that there would be an increase the implementation of small data centers near customers’ locations. To deliver improved performance to these data centers, several companies prefer to install NVDIMM over traditional RAM. Therefore, the rapidly building enterprise data centers across the globe is anticipated to augment the overall market growth over the forecast period.
The ongoing pandemic of COVID-19 is continually hampering the production and trades of several electronics and semiconductor products globally. This is attributed to the temporary shutdown of international borders as well as manufacturing facilities across key countries such as India, China, South Korea, and Japan, among others. As an effect, a notable dec
... keep reading on reddit ➡The proposed hybrid DIMM spec combines DDR access speeds with variety of non-volatile memories, supporting even more memory options.
The latest first-generation protocol announced by the JEDEC Solid State Technology Association has been driven by increased demand for DRAM capacity and bandwidth, as well as a flexible method for attaching emerging, persistent memory in computing systems.
The JESD304-4.01 DDR4 NVDIMM-P Bus Protocol provides a formal specification for hybrid DIMM technologies such as NVDIMM-P, which enable design engineers to combine the access speeds of DDR with the reliability and capacity of non-volatile memories to improve data management, said Jonathan Hinkle, who chairs JEDEC’s Hybrid DIMM Task Group standardizing NVDIMMs.
A key goal of the standard was to find ways to attach and leverage a variety of persistent memories such as magnetoresistive random-access memory (MRAM), Resistive random-access memory (ReRAM), and phase change memory (PCRAM), including Intel’s Optane, during runtime just like DRAM.
[Download]Calibre in the Cloud: Unlocking massive scaling and cost efficiencies hybrid DIMM A sample implementation of recently published JESD304-4.01 DDR4 NVDIMM-P Bus Protocol, which provides a formal specification for hybrid DIMM technologies such as NVDIMM-P and enables design engineers to combine the access speeds of DDR with the reliability and capacity of non-volatile memories (Courtesy JEDEC) Hinkle said the DDR4 NVDIMM-P Bus Protocol pairs well with current efforts to build out the Compute Express Link (CXL) ecosystem, which in part is aimed at reducing how far data has to move within a system and getting it onto the most appropriate media for the workload. “The new memory types have different kind of characteristics,” he said. “We want low latency, very fast access to these new memories, but the new memories don’t necessarily play by the same rules as DRAM.”
For one thing, DRAM is deterministic — it behaves only exactly how the processor expects, said Hinkle. The various new persistent memory types take a few more nanoseconds here or there in comparison, or certain operations may need to happen to get the return of data. “We needed to build in flexibility into a new protocol.” The goal is to make sure any emerging memory can take advantage of the fast pipe available to it; the abstraction of memory media provided by the protocol enables almost any memory media on the DDR channel, including DRAM, MRAM or 3D Xpoint media such
... keep reading on reddit ➡Hello,
I am looking for a replacement to INDIRECT() since it's volatile and affects performance.
I have a QUERY() that fills out a table like this with some performance data based on product segments:
The yellow cell uses the formula below:
=query(indirect('column count helper'!E4),'column count helper'!E5,1)
The idea is to have it add another column to the right every time another column is added to the worksheet called First Summary (Fig 2)
First Summary (Fig 2) is an extract from a connected sheet maintained by a different team.
I have a helper sheet that plugs into the INDIRECT() in Fig 1. It does a COUNTA() of the row to get the number of columns are in the Extract. Then it gets matched with a letter, that then goes into the QUERY() range, and the QUERY() arguments itself (Fig 3)
The effect would be, once August_2021 is available in the connected sheet, it would update the data in First Summary, and the formulas in the count column helper would re-calculate, then it would update the output sheet.
Now my question: is there a way to set this automation up without using INDIRECT() for the query range? INDIRECT() is a volatile, and a lot of downstream calculations in the sheet rely on the table in Fig 1. and the recalculation times are almost reaching a minute whenever anything in the sheet is changed.
(through hole, exclude marketplace)
I am using smartconfig feature for a project. If your not familiar with it, it basically puts the ESP32 wifi into a scan mode and listens for an android device to send wifi credentials via an espressif App in order to connect to an AP. It's pretty cool but it does not save the wifi settings upon a system reset. So I am trying to read/write the data to NVS so I can restore the last known credentials.
According to the espressif docs, you can store integer types, strings, and blobs. I am new to the term 'blobs' and how they are typically used, but from what I understand, it's just raw binary data that's stored within a certain location. I should be able to just store a struct type as a blob into non-volatile memory, then restore it through nvs_get_blob() but It seems like the data I am getting back is garbled/corrupted each time. Some googling around revealed that C compiler's will add padding to the struct so I am not sure if that is the issue.
But here below is my small toy little example. It is a combination of the esp-idf "smartconfig" example from github but I also included some code that attempts to read/restore the wifi settings data. What really confuses me is the type casting. nvs_get_blob() expects a size_t, but the C compiler is preventing me from directly casting it to the former struct type (wifi_config_t).
Can anyone provide a more clear example as to how to read/write a struct object to nvs memory?
/* Esptouch example
This example code is in the Public Domain (or CC0 licensed, at your option.)
Unless required by applicable law or agreed to in writing, this
software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied.
*/
#include <string.h>
#include <stdlib.h>
#include "freertos/FreeRTOS.h"
#include "freertos/task.h"
#include "freertos/event_groups.h"
#include "esp_wifi.h"
#include "esp_wpa2.h"
#include "esp_event.h"
#include "esp_log.h"
#include "esp_system.h"
#include "nvs_flash.h"
#include "esp_netif.h"
#include "esp_smartconfig.h"
#include <stdio.h>
#include "freertos/FreeRTOS.h"
#include "freertos/task.h"
#include "esp_system.h"
#include "nvs_flash.h"
#include "nvs.h"
#include "driver/gpio.h"
/* FreeRTOS event group to signal when we are connected & ready to make a request */
static EventGroupHandle_t s_wifi_event_Anyone concerned by the Alexis AMA needs to chill. The game is still very much on, the squeeze is still waiting to be squoze.
All you have to do is form a single wrinkle on your ape brain and realize that, all things being equal, share price is a function of supply and demand. GME has a relatively small float so not much supply, and there’s huge worldwide retail demand. The price should have been rocketing the last few months based on those dynamics alone but it hasn’t. Day traders simply cannot account for the price plunges when so many apes are not only holding but consistently buying more.
We’ve had nothing but buying pressure for months now. Obviously what’s holding the price in check is massive amounts of shares sold short day after day. I don’t believe they ever covered a single share in the January collapse, I believe they doubled down to get that collapse and that they’ve been digging their hole deeper and deeper ever since. Nothing else makes sense when you go back to the simplest of market mechanics, which is that more buying than selling makes the stonk go up.
So chill apes! Grab a drink, party with your friends and family, and get ready for another week secure in the knowledge that this stock is under a massive amount of short pressure. Otherwise it would have already exploded probably well past 1k on organic buying pressure alone. I love you all.
I just purchased a factory and put some iron ores I got from the mine, the factory wont's start until I get non volatile chemicals, where do I get those?
Greetings, fellow GameMakers! Six months ago, some of you may remember I launched GML+, a script collection with a goal to "fill the gaps" in GML. The collection was born out of a personal need to organize many reusable functions I've built up over the years, but I also knew I could do more. With GMS 2.3, many wishlist features were finally a reality (including official replacements for some elements of GML+--which I consider a good thing!) but many new opportunities were also created to extend GML even more.
Enter the first big update to GML+: now fully reworked to GMS 2.3 standards, and with a ton of new functions to boot!
GML... plus what?
If you're not familiar with GML+, you may be interested to know what's already there! From its debut, GML+ included features like:
- Easy frame time constants, replacing the mis-named
delta_time - Robust timer functions supporting pause/resume/speed, replacing limited alarms
- Easy trigonometry functions, replacing
lengthdirwith functions for calculating rotating points and vectors, not just distance - Interpolation with easing, supporting over 30 built-in ease modes
- Proper hex color notation support
- Data structure-like extended array functions
- Object-independent mouse functions, like hotspot detection with multiple shapes, plus constants for mouse speed, direction, etc.
- And more! Sprite speed functions, game session timing functions, even/odd number functions, recursive file system functions... you get the idea!
Cool! What's new?
With the shift to GameMaker Studio 2.3 came the wonderful addition of functions and methods to replace traditional scripts, plus many other new additions. Not only did this mean completely reformatting GML+ to take advantage, but also re-evaluating existing behaviors and adding new ones where gaps in GML remain.
In version 1.1, you'll find:
- Revamped arrays:
array_create_extprogrammatically generates arrays of any dimensions,array_depthandarray_find_dimrecursively search arrays within arrays,array_shufflerandomizes content order,array_readandarray_writeconvert to/from strings with "pretty print" support, and more! - Non-volatile surfaces: Because tire tracks and blood splatter resulting from unique player actions can't simply be redrawn if the surface is broken! New
surface_readandsurface_writefunctions allow handling surfaces as strings (also great for save files and networking!),
After being inflicted with Blastblight, the target would have, by default, 3 full turns until they explode. This explosion would deal 50% flat damage to their max HP. After the damage is taken, the status goes away.
The amount of turns left until damage is dealt is able to be seen by looking at the status indicator next to the health bar, which will be one of four colors. Green, when 3 turns remain, Yellow, when 2 turns remain, and Red, when the afflicted Pokémon will take damage at the end of this turn. If 4 or more turns remain due to a move or an ability, the icon will be Blue.
Being a non-volatile status condition, it stays on a Pokémon when switched out. The damage timer will only count down on turns when the Pokémon is in battle. Outside of battle, the timer resets to 3.
When a Pokémon with Damp is on the field, Blastblight timers do not count down, nor do they deal damage if triggered manually through the use of a move or ability.
Blastblight also gets a handful of items that affect it. A spray-type medicine, a berry, a held item that halves the damage taken from the explosion, and a King's Rock type item that gives a 10% chance to inflict the status on a move without any other secondary effects.
Let me hear what you have to say, and I'll try to come up with some abilities/moves next week. definitely not going to immediately go back to monster hunter i promise
Wondering if FSLogix wizards can help me out... I'm building a VDI environment using WVD that will be volatile. This is because the machines horizontally scale from a golden image, and then again because this golden image is programmatically re-created every two weeks through a DevOps pipeline.
At the moment, I have created a Default Profile that gets provisioned for the user the first time they sign in. The problem of course is that this happens every time the underlying image gets reset.
Now, I could just use FSLogix and have the user profiles persist - but here's the thing, I don't want the user profiles to persist. This environment should be completely volatile, but I do want to improve user experience and reduce the sign in times to as low as possible.
Therefore, does anyone know any way that I could use FSLogix (or some other method) to:
- Provision user profiles to an external location, which will work across the VDI.
- Have any delta file system or registry changes to the profile stored locally, instead of being redirected to the FSLogix drive.
My guess at the moment is that this simply isn't a supported feature and not in hot demand, but would appreciate any insight. For various reasons, the Default Profile contains some large files, so having to copy them over for each new user every time they log in is clearly quite inefficient!
Thanks!
Hello,
I have a QUERY() that fills out a table like this with some performance data based on product segments:
The yellow cell uses the formula below:
=query(indirect('column count helper'!E4),'column count helper'!E5,1)
The idea is to have it add another column to the right every time another column is added to the worksheet called First Summary (Fig 2)
First Summary (Fig 2) is an extract from a connected sheet maintained by a different team.
I have a helper sheet that plugs into the INDIRECT() in Fig 1. It does a COUNTA() of the row to get the number of columns are in the Extract. Then it gets matched with a letter, that then goes into the QUERY() range, and the QUERY() arguments itself (Fig 3)
The effect would be, once August_2021 is available in the connected sheet, it would update the data in First Summary, and the formulas in the count column helper would re-calculate, then it would update the output sheet.
Now my question: is there a way to set this automation up without using INDIRECT() for the query range? INDIRECT() is a volatile, and a lot of downstream calculations in the sheet rely on the table in Fig 1. and the recalculation times are almost reaching a minute whenever anything in the sheet is changed.
