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Stress testing Metropolis 1998! - Population: 53,500 - CPU FPS: 80 - GPU FPS: 10-80 - RAM: 3,100 MB So: At the moment, the game is GPU bound. I know why and there's a lot of room for improvement. It will involve developing or customizing an existing GPU framework.... show more

Yesbox - Metropolis 1998

9,816 subscribers

84,873 просмотров • 1 год назад •via X (Twitter)

Игры Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля John Heritage

John Heritage1 год назад

This looks fantastic! Is it a .. "if you liked the original Simcity you'll like this"?

Фото профиля Yesbox - Metropolis 1998

Yesbox - Metropolis 19981 год назад

It's a mix of SimCity, Cities Skylines, and Rollercoaster Tycoon. So yes!

Фото профиля NetMind.AI

NetMind.AI2 лет назад

Get access to a wide range of GPUs like H100, A100, 4090, 3090 and save over 90% at NetMind Power. Rent Now!

Фото профиля Ben Throop

Ben Throop1 год назад

Ooo curious what the bottleneck is. Is it purely the people? Or just the size of city that comes along with that population

Фото профиля Yesbox - Metropolis 1998

Yesbox - Metropolis 19981 год назад

Its the number of draw calls, inability to do a depth pass, and prob. other things I'm not aware of due to my inexperience with all things GPU. <not sure if GPU terms are correct> Every object in the game is separated into parts (so each part can be custom colored). I have to draw each part individually since I am not able to expand the buffer stride. e.g. GPUs allow 16 additional vec4 fields that I could store all this information in. So essentially every tile/object in the game is being drawn 5 times >_< Im forced to use OpenGL 1.0 or 2.0 (not sure which) functions CPU side.

Фото профиля Bewildered Beast

Bewildered Beast1 год назад

This is very much near the top of my wishlist

Фото профиля Carson

Carson1 год назад

holy moly this is incredible

Фото профиля Thomas Fossgard

Thomas Fossgard1 год назад

That’s awesome..

Фото профиля Zsky

Zsky1 год назад

Keep improving, I wanna play that piece of gold 😝

Фото профиля Ritik

Ritik1 год назад

very cool!

Фото профиля Marcelo Correia

Marcelo Correia1 год назад

OMG! Looks like a Transport Tycoon Deluxe with city construction!

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Invest Like the Best

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Dylan Patel on the importance of memory and storage Two key quotes: "An $NVDA GPU is faster than an $AMD GPU in most cases, but because AMD GPUs have more memory, they can outperform Nvidia in certain workloads." “It is a difficult, multivariable problem. Generally, you need the best GPU, such as a GB300, but you also need the best storage solutions. I will not spoil who comes out on top, but storage solutions matter a lot, memory solutions matter a lot, and frontend networking also matters significantly" Full Quote: “We have over $80 million of compute: GPUs from $NVDA and $AMD, TPUs from Google, and Trainium from Amazon. We constantly run this benchmark using the newest inference engines, drivers, PyTorch versions, and other software. It runs every day through automated CI across the latest Chinese models from GLM, Zhipu, Moonshot, Kimi, Alibaba, and others. Initially, when we were benchmarking the differences between these chips, inference engines, and parallelism schemes, we used fixed context lengths. But with Agent X, we have now analyzed more than $5 million worth of Claude Code traces. This is real production traffic that users have donated to us, combined with internally generated data, so we now understand what an actual agent workload looks like. When we implement those workloads and run the benchmarks, it turns out that the chip you are using is very important, but how you handle memory offload can be even more important. An Nvidia GPU is faster than an AMD GPU in most cases, but because AMD GPUs have more memory, they can outperform Nvidia in certain workloads. Similarly, you can use a less powerful GPU with a much better storage solution and outperform the best GPU when it lacks those solutions. Simply buying the newest GPU does not necessarily give you the best inference economics. You need to layer in other innovations, including storage and memory.” Interviewer: “Who is the top player on your chart? Can you tell us?” Dylan Patel: “It is a difficult, multivariable problem. Generally, you need the best GPU, such as a GB300, but you also need the best storage solutions. I will not spoil who comes out on top, but storage solutions matter a lot, memory solutions matter a lot, and frontend networking also matters significantly.”

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12,502 просмотров • 29 дней назад