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Thanks for the kind feedback, glad to hear you found the video useful. - JG

Hi, there's nothing stopping you from using a L4 for rendering, it just isn't fast at it, so we wouldn't recommend buying one for that task. However, if you've got an L4 already there's no harm in sending some rendering it's way... - JG

Thanks for the feedback. What do sort of topics would you like us to cover text? - JG

Thank you, glad you enjoyed it - JG

Thanks for watching! - JG

Glad to hear you found it useful. Thanks for the feedback. K and M GPUs are indeed very much legacy models, from 2012 and 2015 respectively, so will be pretty hopeless for ML/AI workloads. We can't really say why AWS is charging so much for instances like this, but all cloud providers are bound to have some older GPUs kicking around. Scan will be launching a new and improved cloud service in a few weeks, watch this space for the announcement. - JG

Glad to hear you found it useful. Thanks for the feedback - JG

Thanks for the thoughtful comment. These less demanding inferencing workloads are one of the major reasons why NVIDIA has the L4 and A2 GPUs. We'll try and make that point clearer in future videos. - JG

That's more CPU-limited, than GPU-limited, but you could probably run dozens of Minecraft servers on the sorts of servers these GPUs are normally installed in. - JG

Yes, they can even run Crysis in 4K - JG

Thanks for the feedback - JG

Glad to hear you found it useful, thanks for the feedback. - JG

The biggest difference between Xeon Scalable (servers) and Xeon W (workstations) comes down to two main things. Firstly, Xeon W are available at a higher clock speeds (4.8 vs 4.1GHz), which helps speed up content creation applications, and conversely holds Xeon Scalable's back. Secondly, Xeon W have more PCIe lanes (112 vs 80) which helps when connecting lots of GPUs, SSDs etc, speeding up workloads such as data science and rendering. - JG

Thanks , much appreciated. @@scanitsolutions

It's almost impossible to give a simple answer to this as server workloads vary so much, but.... in general I think it's fair to say that 4th gen EPYC still has a lead over 5th gen Xeon as they have: more cores, more PCIe lanes and higher memory bandwidth. AMD's architecture also appears to be more efficient than Intel's. Select (but not all models) of 5th (and 4th gen) Xeons do have workload specific accelerators that might give them an edge in some applications, but that's going to be down to ISV support. - JG

@@scanitsolutions alright thanks for the info, amd has had such a large gap over intel for so long on server chips its good too see some competition

Happy to help, and yeah we agree that it's great to see competition in the server CPU market. - JG

I'm afraid not, 5th gen Xeon Scalable are new CPUs for Socket 4677 for C740 boards. X99 boards are for Xeon E5 v3 Socket 2011 processors from 2014. - JG

That's a very fair assessment, 5th gen is definitely a smaller step forward than 4th gen; but it still has some welcome improvements. - JG

Thanks for the feedback. Releasing videos in 4K is something we're looking into, but we have to weigh up the time and storage required to shoot at a higher resolution than 1080p. - JG

Thanks for the feedback, glad to hear you found the video useful. - JG

Thanks for the feedback, glad to hear you found the video useful. - JG

Hi Ali, the Xeon E3-1505M v5 CPU in your system has four cores and eight threads so should handle basic programming and web dev stuff ok. However, due to its age (2015 - Skylake architecture) it's going to struggle with more complex projects, i.e. compiling big applications or image and video work. For example, the current equivalent CPU, the Xeon E-2176M has six cores and twelve threads and runs on a more architecture (2018 - Skylake). - JG

Hi, in short, yes. The main additional instruction set on EPYC 9004 is AVX-512, which is natively supported by multiple compilers. AMD Zen Software Studio contains a bunch of development tools, notably including AOCC compiler and libraries as well as a handy profiling tool - all accessible free of charge at www.amd.com/en/developer/zen-software-studio.html and fully optimised for AMD's own architectures. GCC 13 contains similar support, and if you’re tied to the Intel toolchain, that will also work. Happy compiling - JG

Yeah, it's a shame there aren't more motherboards around right now, especially the high-end WRX90 models. We're expecting to see more models released in December. - JG

I can't wait@@scanitsolutions

The Xeon W-2123 is a fairly old CPU so might give you some trouble in the latest games, especially strategy games and flight sims. It only has four cores so will really struggle with streaming. However, the biggest bottleneck for most games is the GPU, not the CPU. What GPU do you have in your workstation? - JG

@@scanitsolutions GPU is the biggest bottleneck because most people do a wrong pci configuration but all fast paced competitive and online games and using video encoders for streaming relies heavily on thread cpu usage (MMORPGS, FPS, etc) which a workstation system might be more suitable for his needs

Thanks for the feedback, we're glad you found the video useful. - JG

Some older Xeon W processors have integrated graphics which should be ok for retro gaming, but will really struggle with modern games. The integrated graphics really aren't designed for this, but for basic Windows applications. As to your second question about a dedicated GPU, it's normally pretty much mandatory for gaming, but it depends how retro you're going. Did you have any particular games in mind? - JG

Possible ps2, xbox, wii, dreamcast

Really hard to say with any certainty, but I should think that a Xeon W should just about be able to cope with those sorts of retro games. The bigger issue I suspect will be the GPU drivers, as they were never optimised for gaming and I've seen all sorts of visual artefacts when gaming on integrated Intel GPUs over the years. - JG

Thanks for the feedback, we're glad you found the video useful. Regarding the L40 and L40S, these are both based on the same overall architecture, Ada Lovelace. They actually have the same number of cores, memory etc. However, the L40S features improved Tensor cores which deliver double the performance of the L40 at TF32 and TF16, making it a far superior card for training and inferencing AI models. i.e. choose the L40S for AI workloads, choose the L40 for visual workloads. - JG