dylants

https://www.designbyhumans.com/shop/t-shirt/men/troll-linus-shirt/660614/

all ATX cases will take mirco ATX boards

and the ram is slow

thats not 4k capable, the latest hardware, or the best for that budget,

4gb is not good enough. You need at least 6. 

"Never cheap out on a PSU, or I will come to watch the fireworks."

4gb is not good enough. You need at least 6. 

4gb is not good enough. You need at least 6. 

I'm not saying it is a bad card. I'm just saying none are exceptionally better than others. They all have way better cooling, clock speeds, room for overclocking, and everything. The only thing that should make you decide to get one over the other is extra features such as rgb, fan headers, color, acoustics, and other extra features. 

You are putting more stress on the GPU so expect the idle clocks to be slightly higher. 

Plz correct me if I'm wrong. 
Like I mentioned before, it's the way the power is directed that messes with gpu's more than anything.  A quality 1000w psu is also more than capable of kicking out some where close to 600w of (to the gpu) unregulated power.

Fully modular, probably has extras

These are about 5$

 
lol I"m kidding but they are useful. I like to use these with LED bulbs. Low power, don't get hot. I fixed my car powering this from the cig lighter. 
 

its a great mouse but its just too small
and I cant figure out how to hold it properly
have nothing against it just not right for me
the g303 it 87g
it the lightest mouse on the market 
I don't think that the g900 would be a bad recommendation just looking for something as light as possible but still big-ish
 
I'm looking at the g403, mionix castor and roccat kone xtd so far

Vectorworks for the modeling
Cinema4D for rendering

For gaming, get some nice 'gaming' headphones. I recommend the razer manowar 7.1 because they have nice surround sound.

@Slick@LinusTech@nicklmg@CPotter
For those of you that don't know, LTT recently put out this video:
Now, it's great that LTT is making another build guide, but I have MANY issues with this build. Here is a short list:
A 1600 would be a much better choice. It would cost only a little more, comes with a better stock cooler, and can be OCed, not to mention on average the minimums and averages are higher, and in any multi threaded workloads it will crush (though that's not completely relevant, since this is a gaming build guide) You're using a B150 mobo with a Kaby Lake CPU. While most of the time there shouldn't be an issue, there are probably still some B150 mobos on shelves that have older bioses that don't support Kaby Lake on them. You only got 8gb RAM in a $1000 build. WTF? You bought an $80 cooler with a locked CPU and mobo. Wat. You got a $100 case, instead of a $65 one like the S340. At the very least, get the Pure Base 600 no window instead for $20 cheaper. You could've saved another $20 by getting something like an M12ii instead for the PSU. All the money saved by doing that allows us to fit a 1070 in the build, a GPU that is at least 25% more powerful from here (probably more since it's a top of the line 580 vs a founders 1070) Here is the PCPP list that evidences this:
 
PCPartPicker part list / Price breakdown by merchant
CPU: AMD Ryzen 5 1600 3.2GHz 6-Core Processor  ($217.55 @ OutletPC) 
Motherboard: MSI B350 PC MATE ATX AM4 Motherboard  ($81.99 @ B&H) 
Memory: Team Dark 16GB (2 x 8GB) DDR4-3000 Memory  ($99.99 @ Newegg) 
Storage: Kingston HyperX Fury 240GB 2.5" Solid State Drive  ($80.99 @ Amazon) 
Video Card: EVGA GeForce GTX 1070 8GB SC GAMING ACX 3.0 Black Edition Video Card  ($379.99 @ Newegg) 
Case: be quiet! Pure Base 600 (Black/Silver) ATX Mid Tower Case  ($79.99 @ SuperBiiz) 
Power Supply: SeaSonic 520W 80+ Bronze Certified Fully-Modular ATX Power Supply  ($56.99 @ SuperBiiz) 
Total: $997.49
Prices include shipping, taxes, and discounts when available
Generated by PCPartPicker 2017-05-04 11:32 EDT-0400
 
A build that has a slightly better CPU, double the RAM, and at least around 30% faster GPU with the sacrifices only being the lack of a window and a worse CPU cooler (and maybe a slightly louder PSU, but it probably isn't by much).
 
You see what I'm saying?
 
Now I understand, LTT was sponsored by be quiet!. But that doesn't excuse recommending a build to possibly a MILLION people that could've been 30% faster for the EXACT SAME PRICE. Now yes, not a million people are going to lose out on that, but at least a few hundred people will PROBABLY use this as a base for their next pc. Instead, you could've used a $30 cooler from be quiet!. Or maybe could've used the same cooler, psu, and case in a $1500 build guide where you would be using a 7700k, where the parts would actually MAKE SENSE.
 
The Ryzen 5/3 "previewed" videos were also a fail in a similar way, but those didn't cost people performance/money and you guys truly learned your lesson from those.
 
But this? This is just misleading/hurting your OWN VIEWERS by costing them performance because of sponsorships. This is just bad, honestly. It's a new low, and I hope you guys will fix this, possibly by doing a followup video with a BETTER parts list using a 1600+1070.
 
I wasn't really bothered by the thumbnails, and the Ryzen 5/3 previewed video seemed to teach you guys a lesson, but this is just flat out bad. I don't have words for how low you guys have gone in this video, to recommend people to spend money on useless things (like the CPU cooler) because of sponsorships.
 
Again, I don't have anything against sponsorships, I know this is how quite a bit of your money is made, but when sponsorships mean you are HURTING your viewers, that's just flat out bad. 
 
I hope someone at LMG sees this, since you guys really need to reverse your mistake.
 
EDIT: And for Ryzen, you can't make the argument that this was filmed before Ryzen 5 was launched, since you had a disclaimer in the video about the rx 580 which was launched a few weeks after Ryzen.

so the Flops IPC has not improved over pascal.
 
1080ti               V100
3584 CUDA vs 5120 CUDA
10.6 TFLOP vs 15 TFLOPS
42.8% more CUDA cores and it is 42% more FLOPS.
 
(note: boost clocks at very close)

Source: https://devblogs.nvidia.com/parallelforall/inside-volta/
 
Note: I think quoting is having some issues on the forum right now, once it's fixed I'll use legitimate quotes but for now all quotes are in bold and italic.
 
The NVIDIA Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads.
 
The GV100 GPU includes 21.1 billion transistors with a die size of 815 mm2. It is fabricated on a new TSMC 12 nm FFN high performance manufacturing process customized for NVIDIA. GV100 delivers considerably more compute performance, and adds many new features compared to its predecessor, the Pascal GP100 GPU and its architecture family. Further simplifying GPU programming and application porting, GV100 also improves GPU resource utilization. GV100 is an extremely power-efficient processor, delivering exceptional performance per watt. Figure 2 shows Tesla V100 performance for deep learning training and inference using the ResNet-50 deep neural network.
 
-----------------------------------------
 
Tesla V100 delivers industry-leading floating-point and integer performance. Peak computation rates (based on GPU Boost clock rate) are:
     7.5 TFLOP/s of double precision floating-point (FP64) performance;
     15 TFLOP/s of single precision (FP32) performance;
     120 Tensor TFLOP/s of mixed-precision matrix-multiply-and-accumulate.
 
Similar to the previous generation Pascal GP100 GPU, the GV100 GPU is composed of multiple Graphics Processing Clusters (GPCs), Texture Processing Clusters (TPCs), Streaming Multiprocessors (SMs), and memory controllers. A full GV100 GPU consists of six GPCs, 84 Volta SMs, 42 TPCs (each including two SMs), and eight 512-bit memory controllers (4096 bits total). Each SM has 64 FP32 Cores, 64 INT32 Cores, 32 FP64 Cores, and 8 new Tensor Cores. Each SM also includes four texture units.
 
-----------------------------------------
 
With 84 SMs, a full GV100 GPU has a total of 5376 FP32 cores, 5376 INT32 cores, 2688 FP64 cores, 672 Tensor Cores, and 336 texture units. Each memory controller is attached to 768 KB of L2 cache, and each HBM2 DRAM stack is controlled by a pair of memory controllers. The full GV100 GPU includes a total of 6144 KB of L2 cache. Figure 4 shows a full GV100 GPU with 84 SMs (different products can use different configurations of GV100). The Tesla V100 accelerator uses 80 SMs.
 
Tesla Product Tesla K40 Tesla M40 Tesla P100 Tesla V100 GPU GK110 (Kepler) GM200 (Maxwell) GP100 (Pascal) GV100 (Volta) SMs 15 24 56 80 TPCs 15 24 28 40 FP32 Cores / SM 192 128 64 64 FP32 Cores / GPU 2880 3072 3584 5120 FP64 Cores / SM 64 4 32 32 FP64 Cores / GPU 960 96 1792 2560 Tensor Cores / SM NA NA NA 8 Tensor Cores / GPU NA NA NA 640 GPU Boost Clock 810/875 MHz 1114 MHz 1480 MHz 1455 MHz Peak FP32 TFLOP/s* 5.04 6.8 10.6 15 Peak FP64 TFLOP/s* 1.68 2.1 5.3 7.5 Peak Tensor Core TFLOP/s* NA NA NA 120 Texture Units 240 192 224 320 Memory Interface 384-bit GDDR5 384-bit GDDR5 4096-bit HBM2 4096-bit HBM2 Memory Size Up to 12 GB Up to 24 GB 16 GB 16 GB L2 Cache Size 1536 KB 3072 KB 4096 KB 6144 KB Shared Memory Size / SM 16 KB/32 KB/48 KB 96 KB 64 KB Configurable up to 96 KB Register File Size / SM 256 KB 256 KB 256 KB 256KB Register File Size / GPU 3840 KB 6144 KB 14336 KB 20480 KB TDP 235 Watts 250 Watts 300 Watts 300 Watts Transistors 7.1 billion 8 billion 15.3 billion 21.1 billion GPU Die Size 551 mm² 601 mm² 610 mm² 815 mm² Manufacturing Process 28 nm 28 nm 16 nm FinFET+ 12 nm FFN  
This thing is insane... EIGHT HUNDRED FIFTEEN MM^2. 5120 CUDA Cores. 16gb HBM2 memory. 21 billion transistors. Did I mention 15 TFlops? Volta for consumers probably won't be here until 2018 but this thing is absolutely insane. This is probably what Oak Ridge National Laboratory is going to be using in their upcoming supercomputer.
 
I must say, it surprised me that Nvidia announced a GPU today, even if it's a Tesla. This GPU is probably the reason why GTC was delayed until May this year, though. Volta probably hasn't been ready until really recently. 
 
What are you guy's thoughts of this LITERAL monster?

Very first GDDR6 pictured! It will be faster than its predecessor and use less power. One advantage over hbm/2 is it's probably cheaper to for gpu makers to use these instead of hbm or hbm 2.





 
https://videocardz.com/69304/sk-hynix-showcases-first-gddr6-wafer-at-gtc-2017
 
 
 
 
 
 

lol, what kind of question is that? 
 
I would think that over time the monitor stand will definitely leave an impression on it

They'll most likely abandon the 1151 socket just like every mainstream processor they had in the past tick-tock cycle. Unless you can remove the iGPU on the 7700K and add 2 more cores to compete with Ryzen 5 core for core - thread for thread? 8700K? Not sure if that's doable, but it would be a big change if Intel does manage to do it and bring it down in price against Ryzen.

Since there has been news coming out about the X299 platform, It got me thinking. What do you think Intel will release for the LGA1151 socket next? What are some realistic specs for a Kaby Lake upgrade? Will it still be stuck with 4 cores + 8 threads? Or will there be a 6 core + 12 thread like Kaby Lake X, only with lower PCIe lanes to support the B/Q/H/Z-series chipsets? Or, do you think Intel will leave the LGA1151 socket behind for something newer, to more easily compete with AMD + Ryzen?

On a personal note, I would really like to upgrade from my i7 frying pan edition (i7-7700k) in the near future, without changing platforms to keep the cost of upgrading lower. Thanks in advance for your thoughts!

Intel hasn't been keeping up with their own schedule, so I had to ask.

it's been two years. that's all mainstream chipsets last on Intel. 
no new upgrades, unless Intel pulls some Broadwell-like shit out of their ass