Tesla p40 vs 3090 gaming reddit The Personal Computer. PC Build i9 13900K 4090 Part List (Build My P40 is about 1/4 the speed of my 3090 at fine tuning. GeForce RTX 3090 . 5s Tesla M40 24GB - single - 32. Members Online /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Both were branded Dell, but my fans still run to 100% after boot up. The Real Housewives of Atlanta; The Bachelor; DOGE showed us the power of Reddit/social media! Here at the Hivemind, we hope to educate those interested in the crypto /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. It is built on the Pascal GPU microarchitecture (codename GP102) and is manufactured on a 16 nm process. 4090 doubles What difficulties will I face if I need to buy a tesla p40? My computer now has one 3060 12GB. And for $200, it's looking pretty tasty. Inferencing will slow on any system when there is more context to process. The . e. It has fewer VRAM (16 gb) but it’s twice as fast Comparative analysis of NVIDIA GeForce RTX 3090 and NVIDIA Tesla P40 videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and We compared a Desktop platform GPU: 24GB VRAM GeForce RTX 3090 and a Professional market GPU: 24GB VRAM Tesla P40 to see which GPU has better performance in key Can I Run it? Compare NVIDIA GeForce RTX 3090 vs NVIDIA Tesla P40 specs, performance, and prices. For gaming, raw single-threaded performance is still most important Using a Tesla P40 for Gaming with an Intel iGPU as Display Output on Windows 11 22H2 - GitHub - toAlice/NvidiaTeslaP40forGaming: Using a Tesla P40 for Gaming with an Intel iGPU as Display Output o I saw a couple deals on used Nvidia P40's 24gb and was thinking about grabbing one to install in my R730 running proxmox. I would probably split it between a couple windows VMs running video encoding and game streaming. The thing is I'm between a second hand 3090 (used to mine bitcoin for about 4 months) and a brand new rtx 4070. Still, the only better used option than P40 is the 3090 and it's quite a step up in price. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators. In these tests, I was primarily interested in how much context a In this video, we compare two powerful GPUs for AI applications: the NVIDIA RTX 3090 and the Tesla P40. 3090 or 4090. I’ve decided to try a 4 GPU capable rig. Technical City. Quadro cards seem to have kinda bad value, most people on this sub will recommend multiple 3090s, I myself have, due to rather limited budget, opted for dual a Tesla P40 setup (basically 24gb 1080; they have not yet arrived, and the information given on this sub on how useful they are kinda contradicts itself sometimes, apparently these cards /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Average it/s for Mixtral models is 20. Anyone try this yet, especially for 65b? I think I heard that the p40 is so old that it slows down the 3090, but it still might be faster from ram/cpu. I am looking at upgrading to either the Tesla P40 or the Tesla P100. We examine their performance in LLM inference and CNN Also, Tesla P40’s lack FP16 for some dang reason, so they tend to suck for training, but there may be hope of doing int8 or maybe int4 inference on them. The server already has 2x E5-2680 v4's, 128gb ecc ddr4 ram, ~28tb of storage. Please use our Discord server instead of supporting a The Tesla P40 is much faster at GGUF than the P100 at GGUF. Everything just works on the 3090 and its blazing fast. Comparison of FPS count by settings on resolution 1920 × 1080 (FHD (1080p)) in game Grand Theft Auto V for GeForce RTX 3090, Tesla P40. If anyone is contemplating the use of a p40 and they would like me to test something for them let me know. Get the Reddit app Scan this QR code to download the app now. It seems to have gotten easier to manage larger models through Ollama, FastChat, ExUI, EricLLm, exllamav2 supported projects. It’s just as fast as my 3090 gaming rig. Join our passionate community to stay informed and connected with the latest trends and technologies in the gaming laptop world. I have observed a gradual slowing of inferencing perf on both my 3090 and P40 as context length increases. I'm contemplating a 24GB Tesla P40 card as a temporary solution. So IMO you buy either 2xP40 or 2x3090 and call it a day. Cardano; Dogecoin; Algorand; Bitcoin; Litecoin; Basic Attention Token; Bitcoin Cash; Television. These GPU's a really good for inferencing but forget about trying training/fine-tuning. Kinda sorta. So I installed the p41. 56s NVIDIA GeForce RTX 3060 12GB - single - 18. It’s a little slow. But taking into account that they draw more than 350W each, it's probably cheaper to pay for cloud computing time if u really need more than 24gb vram for a The P40 was designed by Nvidia for data centers to provide inference, and is a different beast than the P100. Wiki. That is Working well on my Tesla P40 also. The P40 uses a CPU connector instead of a PCIe connector The only place for longer cards, like the P40, is on the riser pictured to the left. Tesla K80m . 4 and the minimum version of CUDA for Torch 2. 5x as fast as a P40. Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. I ended up bought a second hand 3090 for $740, the reason is P40/M40 performance is perhaps a quarter of 3090 even with 24Gb Vram. Reddit is dying due to terrible leadership from CEO /u/spez. Night and day difference. For 24gb, the cost starts to get high, the best bang for your buck should be a used 3090. 2 x Tesla P40's and a Quadro P4000 A single tesla T4 takes about 20-15 secs for the Img gen and the video gen with SVD at 14 fps about 3-5 min for 1 second. Members Online. RTX 3090: FP16 (half) = 35. Plus then I'd need a whole new computer to support 4 cards. vs. Pascal Hi reader, I have been learning how to run a LLM(Mistral 7B) with small GPU but unfortunately failing to run one! i have tesla P-40 with me connected to VM, couldn't able to find perfect source to know how and getting stuck at middle, would appreciate your help, thanks in advance This is current as of this afternoon, and includes what looks like an outlier in the data w. 72 seconds (2. The other Tesla M40 alongside RTX 2060 Question | Help I'm considering buying a cheap Tesla M40 or P40 for my PC that I also use for gaming, with RTX 2060. 58 TFLOPS, FP32 (float) TLDR: p40 is cheap, yes, but you will be bottlenecking your 3090 pretty much and you are limited to gguf. 0, it seems that the Tesla K80s that I run Stable Diffusion on in my server are no longer usable since the latest version of CUDA that the K80 supports is 11. NVIDIA Tesla P40 is an end-of-life workstation graphics card that released in Q3 2016 with a MSRP of $5,699. I should say it again, these are self-reported numbers, gathered from the Automatic1111 UI by users who installed the associated "System Info Comparing RTX 3090 with Tesla M40: technical specs, games and benchmarks. 39s So limiting power does have a slight affect on speed. They appear to be part of the case. RTX 3090 TI + RTX 3060 D. 76 TFLOPS. This is my first post here. The combined score is measured on a 0-100 point scale. We examine their performance in LLM inference and CNN image After a while I said fuck it and bought a used 3090. Probably better alternative is a P100. For 12gb, a used 3060 12GB. But you can do a hell of a lot more LLM-wise with a P40. They did this weird thing with Pascal where the GP100 (P100) and the GP10B (Pascal Tegra SOC) both support both FP16 and FP32 in a way that has FP16 (what they call Half Precision, or HP) run at double the speed. Discover discussions, news, reviews, and I was wondering if adding a used tesla p40 and splitting the model across the vram using ooba booga would be faster than using ggml cpu plus gpu offloading. I have read that the Tesla series was designed with machine learning in mind and optimized for deep learning. And I was sent a p40 and a p41. 5 t/s with a 3090 and a P40 on a 70B q4_k_m. RTX 3090 TI B. As far as i can tell it would be able to run the biggest open source models currently available. 8. I ran all tests in pure shell mode, i. Tesla P40 . I have a few numbers here for various RTX 3090 TI, RTX 3060 and Tesla P40 setups that might be of interest to some of you. A 4060Ti will run 8-13B models much faster than the P40, though both are usable for user interaction. . This gives it a memory bandwidth of 347. For 16gb, a new 4060Ti 16GB. org states that both cards use different drivers. But you should be looking at 2x faster performance speeds with the 4090, I have found this from other sub a user with dual 3090 and there are some people commenting about their experience. Rtx 3090 vs rtx 4070 If you've got the budget, RTX 3090 without hesitation, the P40 can't display, it can only be used as a computational card (there's a trick to try it out for gaming, but Windows becomes unstable and it gives me a bsod, I don't recommend it, it ruined my PC), RTX 3090 in prompt processing, is 2 times faster and 3 times faster in token generation (347GB/S vs 900GB/S for rtx 3090). I graduated from dual M40 to mostly Dual P100 or P40. 1. Since only one GPU processor seems to be used at a time during inference and gaming won't really use the second card, This is a misconception. Note: Reddit is dying due to terrible leadership from CEO /u/spez. On the other hand, 2x P40 can load a 70B q4 model with borderline bearable speed, while a 4060Ti + partial offload would be very slow. Going from a rtx 3090 founders to my current setup I saw massive headroom gains compared to single card structure architecture (but if it worked at all, it was expected to surpass the single card just in the sheer difference in the amount of available of vram even with the speed difference in the vram. completely without x-server/xorg. Dell 7810 Xeon 2660 v4 192 gigs of ram 1x 3060 12 gig. Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer. 1x p40. We will see about that if it actually comes a new Titan Not a direct answer to your question, but my P40 rig (which fully loads all layers for a Q5_M 70B model on only P40s) gets about 7-8 tokens per second with low context, and about 3-4 a second with a (rope stretched) 8k context mostly filled. Best model overall, the warranty IMHO going the GGML / llama-hf loader seems to currently be the better option for P40 users, as perf and VRAM usage seems better compared to AUTOGPTQ. The GeForce RTX 4090 is our recommended choice as it beats the Tesla P40 in performance tests. Tesla P40 has 24 GB of GDDR5 memory, with a 1,808 MHz memory clock and a 384 bit interface. Pretty good! Share Add a Comment. Has anyone here baked off training models on the RTX 3000 series vs professional ML cards like the Tesla P4, T4, or V100, or the RTX2080 using the same drivers and TensorFlow 2 (single GPU only)? Looking to upgrade my dev box, but want to make sure it really is 30-50% faster for typical ML workloads vs a 2080 or typical AWS/GCP cloud offering. They will both do the job fine but the P100 will be more efficient for training neural networks. 1700$. Just make sure you have enough power and a cooling solution you can rig up, and you're golden. Welcome to r/gaminglaptops, the hub for gaming laptop enthusiasts. It might come later, we don’t know. I know it's the same "generation" as my 1060, but it has four times the memory and more power in Tesla P40 (Size reference) Tesla P40 (Original) In my quest to optimize the performance of my Tesla P40 GPU, I ventured into the realm of cooling solutions, transitioning from passive to active cooling. This is a HP Z840 with dual Intel Xeon processors. Non-gaming benchmark results comparison. RTX was designed for gaming and media editing. here is P40 vs 3090 in a 30b int4 P40 Output generated in 33. Graphics cards . 11s If I limit power to 85% it reduces heat a ton and the numbers become: NVIDIA GeForce RTX 3060 12GB - half - 11. 0 is 11. Tesla P100 PCIe 16 GB . The 3090 is not a Titan replacement though. But a bunch of old server farms are getting rid of these old tesla cards for like less than 200 bucks, and they have the same amount of VRAM, not as fast, as the 3090! The relative performance of the card is just under a 1070, just obviously with more RTX 3090 GAMING X TRIO VS RTX 3090 SUPRIM X Discussion Tesla; Crypto. 14 it/sec. t. Sure, the 3060 is a very solid GPU for 1080p gaming and will do just fine with smaller (up to 13b) models. 1 Tesla M40 24GB - half - 31. 2 x nVidia Tesla P40 (24G GDDR5X / 3840 CUDA / ~250$) + 2 x nVidia Tesla P100 (16G HBM3 / 3584 CUDA / ~250$) Alternatively you could try to get two used rtx 3090 for approx. get a EVGA GeForce RTX 3090 FTW3 ULTRA GAMING. Budget for graphics cards would be around 450$, 500 if i find decent prices on gpu power cables for the server. Since Cinnamon already occupies 1 GB VRAM or more in my case. Buy a used Tesla 24Gb p40, by the way can I use it with the existing 3060 12GB to have a total 36Gb? Then I said "f** it" and went for a 3090. Memory. Now I’m debating yanking out four P40 from the Dells or four P100s. The 3090 is about 1. For now, 3090 outperform Titan RTX. Or check it out in the app stores   But don’t lump the P40 with K80 - P40 has unitary memory, is well supported (for the time being) and runs almost everything LLM albeit somewhat slowly. an RTX 3090 that reported 90. r. Discussion So, thanks to u/WolframRavenwolf and his on-going LLM testing, I believe I've finally found a reliable and verbose model that I have gotten to work well for RP in Sillytavern that exceeds the various Hermes Llama1 models. Or you can go deal hunting A. I'm running Debian 12. Sort by: Best I use the 3090 for gaming and stuff other than AI as well. Anyways, these are self-reported numbers so keep that in mind. You can also consider buying Tesla P40, which is two times faster than M40 and cheap as well. Tesla P40 C. I've seen people use a Tesla p40 with varying success, but most setups are focused on using them in a standard case. In this video, we compare two powerful GPUs for AI applications: the NVIDIA RTX 3090 and the Tesla P40. as quantization improvements have allowed people to finetune smaller models on just 12gb of vram! meaning consumer hardware is now viable if a bit slow. Note that the Tesla GPUs are designed to run in datacenters and may need cooling or power cord modifications to run in a desktop PC. Up to 16gb, I would recommend looking at the regular gaming cards. Dell r610 and tesla p4 for local cloud gaming My use case is not gaming, or mining, but rather finetuning and playing around with local LLM models, these typically require lots of vram and cuda cores. The GPU's are Pascal-class, they're out of production but just barely, so should be supported longer than Kepler etc. Or check it out in the app stores   I have a R730xd and have run a Tesla P4, Tesla P40, Titan Xp and RTX 2080 Ti in the server on Windows Server 2019 bare metal without problem, accessing it via Parsec. 24GB is the most vRAM you'll get on a single consumer GPU, so the P40 matches that, and presumably at a fraction of the cost of a 3090 or 4090, but there are still a number of open source models that won't fit there unless you shrink them considerably. 7 GFLOPS , FP32 (float) = 11. ASUS ESC4000 G3. The price is practically the same. Be aware that Tesla P40 is a workstation graphics card while GeForce RTX 4090 is a desktop one. debian. Possibly because it supports int8 and that is somehow used on it using its higher CUDA 6. Full machine. Of course I want to buy the 4070 but I don't want to upgrade my graphics card for at least 3-5 years and the 24gb vram of the 3090 are really a thing. Join us in celebrating and promoting tech, knowledge, and the best gaming, study, and work platform there exists. About 1/2 the speed at inference. 64s Tesla M40 24GB - single - 31. With the update of the Automatic WebUi to Torch 2. 97s Tesla M40 24GB - half - 32. 79 tokens/s, 94 tokens, context 1701, seed 1350402937) Output 2 x Tesla P40's, 24GB RAM each = 48GB ($200ea = $400) 2 x PCI Riser cards ($20 or something) but that doesn't seem to have a significant effect on FPS in gaming, so I don't think it would have a significant effect. Question: can you use 3090 and P40 together in typical desktop PC motherboard? Tesla P40's aren't as fast as they just have a lot of VRAM. 2x 2tb SSDs Linux Ubuntu TL;DR. The 3090 can't access the memory on the Tesla P40 has really bad FP16 performance compared to more modern GPU's: FP16 (half) =183. I ordered two thinking I could remove the two sff drives. Cooling is okay, but definitely not ideal, as the card stretches above the CPU heatsinks. P40 works better than expected for just messing around when paired with a 3060 12gig. RTX 3090 TI + Tesla P40 Note: One important piece of information. I’ve found that If this is going to be a "LLM machine", then the P40 is the only answer. The journey was marked by experimentation, challenges, and ultimately, a successful DIY transformation. I now spend waaaay less time trying to get inference to work and way more time actually developing About 4. I have no experience with the P100, but I read the Cuda compute version on the P40 is a bit newer and it supports a couple of data types that the P100 doesn't, making it a slightly better card at inference. At a rate of 25-30t/s vs 15-20t/s running Q8 GGUF models. Reply reply The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content The 3090 has the possibility to be a Titan, but as the other guy said marketed to be a gaming card, which is true. I just added one to my r730xd. /r/IndianGaming — For discussions related to the Indian gaming The trade-off is being able to run things fast vs being able to run more things slowly. rfy fswvq alrypnw wrjk anuut vnf rppy auui pbuiym njpf