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AMD Ryzen 7 4700GE Renoir APU Pictured & Benchmarked – 8 Cores, 16 Threads, DDR4-4333 MHz With 2166 MHz FCLK

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The AMD Ryzen 7 4700GE ‘Renoir’ APU has been tested with high frequency memory & the overall results are just mind-blowing. The said chip will be part of the upcoming Ryzen 4000 ‘Renoir’ APU lineup and expected to hit retail shelves in the coming month.

MD Ryzen 7 4700GE ‘Renoir’ APU Gets Tested With DDR4-4333 MHz Memory, Under 50ns Latency & 2166 MHz FCLK

The AMD Ryzen 4000 ‘Renoir’ desktop processors will be replacing the existing Ryzen 3000 lineup of APUs. Featuring AMD’s 7nm Zen 2 CPU & Vega GPU cores, the Ryzen 4000 desktop processors will uplift performance in almost all regards compared to the older 12nm Zen+ CPU & older Vega GPU cores.

The Ryzen 7 4700GE was seen in action today as indicated by the codename of the same which is 100-000000149-40_40/30_Y. The APU still seems to be in an early engineering state which is made evident by its clock speeds. The Ryzen 7 4700GE features 8 cores and 16 threads. The CPU comes with 4 MB of L2 and 8 MB of L3 cache which is due to the monolithic design that the Renoir APUs feature compared to the chiplet design on the standard Zen 2 based CPUs.

The CPU is supposed to feature clock speeds of 3.1 GHz base and 4.35 GHz boost but the ES chip runs at 3.0 GHz base and 4.0 GHz boost clocks. The APU also comes with Vega 8 graphics which is the equivalent to 512 SPs operating at 2000 MHz clock speeds. The Ryzen 7 4700GE operates at a TDP of 35W whereas the standard Ryzen 7 4700G APU will feature a 65W TDP.

MD Ryzen 4000 ‘Renoir’ Desktop APU Lineup

APU NameCore TechnologyCores/ThreadsBase ClockBoost ClockMemoryGraphics ChipGraphics ClockTDPPriceAMD Ryzen 7 4700G7nm Zen 28/163.6 GHz4.45 GHz?DDR4-3200Vega 8 / 512 SPs2100 MHz65WTBAAMD Ryzen 5 4400G7nm Zen 26/123.7 GHz4.30 GHz?DDR4-3200Vega 7 / 448 SPs1900 MHz65WTBAAMD Ryzen 3 4300G7nm Zen 24/83.8 GHz4.10 GHz?DDR4-3200Vega 6 / 384 SPs1700 MHz65WTBAAMD Ryzen 7 4700GE7nm Zen 28/163.1 GHz4.35 GHz?DDR4-3200Vega 8 / 512 SPs2000

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By: Hassan Mujtaba
Title: AMD Ryzen 7 4700GE Renoir APU Pictured & Benchmarked – 8 Cores, 16 Threads, DDR4-4333 MHz With 2166 MHz FCLK
Sourced From: wccftech.com/amd-ryzen-7-4700ge-renoir-apu-ddr4-4333-test/
Published Date: Tue, 30 Jun 2020 07:19:28 +0000

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NVIDIA Ends Production of GeForce RTX 20 ‘Turing’ Series As GeForce RTX 30 ‘Ampere’ Gaming Graphics Card Launch Gets Closer, Price Hike For Current High-End Cards Expected

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NVIDIA has reportedly ceased production of its GeForce RTX 20 ‘Turing’ lineup to make room for the next-generation GeForce RTX 30 ‘Ampere’ graphics cards. The report comes from Ithome who has reported that not only are the majority of the high-end GeForce RTX 20 series graphics cards being discontinued but will soon be delisted by major vendors as they prep up for NVIDIA’s next-generation gaming lineup.

NVIDIA Ends GeForce RTX 20 ‘Turing’ Series Production To Make Room For GeForce RTX 30 ‘Ampere’ Gaming Graphics Cards

As per the report, NVIDIA will be ending production of its high-end GeForce RTX 20 series lineup which includes the following graphics cards:

GeForce RTX 2080 TiGeForce RTX 2080 SUPERGeForce RTX 2070 SUPERGeForce RTX 2070

All four graphics cards listed are part of NVIDIA’s high-end and ultra-enthusiast segment. All cards utilize different Turing GPU, we get the TU102 on the GeForce RTX 2080 Ti, the TU104 on GeForce RTX 2080 & RTX 2070 SUPER and the TU106 GPU on the GeForce RTX 2070. The report also claims that not only would the production be halted on these four graphics cards but they will also be de-listed by major vendors including NVIDIA themselves in the coming months.

It is additionally reported that ending production on GeForce RTX 20 series graphics cards will lead to severe shortages in the coming weeks due to a rising demand in the mining segment which has started to revive in recent months. This could lead to the GeForce RTX 2080 SUPER & RTX 2080 Ti graphics cards to be out of stock much sooner than expected.

NVIDIA GeForce RTX 20 Turing Production Ended To Make Room For Next-Gen GeForce RTX 30 Ampere Gaming Graphics CardsRead More

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By: Hassan Mujtaba
Title: NVIDIA Ends Production of GeForce RTX 20 ‘Turing’ Series As GeForce RTX 30 ‘Ampere’ Gaming Graphics Card Launch Gets Closer, Price Hike For Current High-End Cards Expected
Sourced From: wccftech.com/nvidia-geforce-rtx-20-turing-production-end-geforce-rtx-30-ampere-gaming-graphics-card-launch-close/
Published Date: Sun, 12 Jul 2020 14:21:51 +0000

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Re-read Saturday, Tame you Work Flow Week 4: Chapter 4: Utility of Flawed Mental Models

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Tame your Work Flow

This week we tackle Chapter 4 of Tame your Work Flow,  The chapter is titled “Utility of Flawed Mental Models.” The goal of the chapter is to make sure we understand why reducing wait time makes sense and why that reduction has an impact on delivery.  

The premise of the chapter is set up with the statement:

According to Little’s Law, as the Flow Time at the denominator is decreased Throughput will increase. The contradiction here is that – from a Theory of Constraints (ToC) perspective – a system simply cannot deliver any more Throughput than its Constraint. Since we have not reduced Touch Time, the Constraint cannot have increased its Capacity in any way.

The authors point out that the two models at the heart of the book seem to conflict at a very basic level. Using the paradigm of the ToC would push us to find the constraint, exploit (use it to its fullest capacity) and then to elevate (increase the capacity). These types of changes would generate a focus on touch time (changing how we do the work).  Daniel and Steve use a set of mental experiments to show how starting with getting rid of wait time generates improved throughput without substantial investment and creates a stable environment of making touch time changes later. 

Attacking wait time does not directly impact throughput because it has no direct effect on the constraint. The question then is why does throughput apparently improve when we improve flow efficiency by removing wait time. On page 72, the authors state, “When Flow Efficiency is low, the system ordinarily performs at a rate that is less than that of the nominal Capacity of the Constraint.” This is really the crux of why reducing wait time has an impact.  Simply put, the constraint is underutilized — it has spare capacity. 

In the mental experiments in the book, Daniel and Steve show how reducing wait time squeezes out multitasking which reduces the context switching, and unneeded coordination and synchronization which uses up the spare captivity of the constraint yielding more output. This is exploiting the constraint, even though, at least at this point, we have spent no time trying to identify the constraint. As we noted in Chapter 3, reducing wait time does not require any substantial investments in changing how work is done, improved tools, or investment in additional people (queue the Dire Straits song “Money for Nothing). 

After we have exhausted wait time, the focus of the book shifts to touch time which means finding the constraint and jumping into the Theory of Constraints.  

Catch up on previous entries

Week 1: Logistics and Front Matter – https://bit.ly/2LWJ3EY

Week 2: Prologue (The Story of Herbie) – https://bit.ly/3h4zmTi

Week 3: Explicit Mental Models – https://bit.ly/2UJUZyN

Week 4: Flow Efficiency, Little’s Law and

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By: tcagley
Title: Re-read Saturday, Tame you Work Flow Week 4: Chapter 4: Utility of Flawed Mental Models
Sourced From: tcagley.wordpress.com/2020/07/11/re-read-saturday-tame-you-work-flow-week-4-chapter-4-utility-of-flawed-mental-models/
Published Date: Sat, 11 Jul 2020 23:55:45 +0000

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EKWB Announces The EK Quantum Flow Indicators – Provides A Unique Aesthetic To Your Loop

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EK has released a series of unique flow indicators that belong to the Quantum Line. These Quantum flow indicators visually represent the coolant flow rate, which is often hard to see with the naked eye.

EKWB Announces The EK Quantum Flow Indicators – Gives The User The Ability To See If The Loop Is Functioning While Adding A Cool Aesthetic

This can be very useful to instantly see if your loop operation is nominal or there’s trouble with the pump or flow in some other area as well as looking cool! It also features addressable RGB illumination where the LEDs are covered by a stylish black anodized aluminum cover to hide the hotspots. Aside from the standalone option, there are two more that mount directly on the EK-Quantum Vector GPU water block.

This standalone flow indicator features three G1/4″ ports, all of which are female. It can be mounted mid tube run with two fittings or fastened to any G1/4″ port on a radiator, pump, or even a block via the use of a dual male-threaded extender. Any of the threads can be used as either inlet or outlet. It can be used in a straight flow-through setup, or it can replace a 90° angled fitting, or a 90° bend in your loop. These GPU-mounted flow indicators are made to replace the stock terminal with the one integrating the flow indicator. They come in two variants, with either top-bottom flow or bottom-top flow pattern. Flow patterns are mandatory to be followed for proper operation of the indicators.

All EK-Quantum flow indicators are manufactured out of

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By: Alex Casas
Title: EKWB Announces The EK Quantum Flow Indicators – Provides A Unique Aesthetic To Your Loop
Sourced From: wccftech.com/ekwb-announces-ek-quantum-flow-indicators-provides-unique-aesthetic-to-loop/
Published Date: Sat, 11 Jul 2020 09:02:22 +0000

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