Tesla p40 llama reddit review. 06 ms / 13 tokens ( 35.
- Tesla p40 llama reddit review 94 tokens per second) llama_print_timings: total time = 54691. You pretty much NEED to add fans in order to get them cooled, otherwise they thermal-throttle and become very slow. very detailed pros and cons, but I would like to ask, anyone try to mix up one This is the first time I have tried this option, and it really works well on llama 2 models. Subreddit to discuss about Llama, Members Online • TeknikL. The Tesla P40 and P100 are both within my prince range. Or check it out in the app stores Subreddit to discuss about Llama, Resources Writing this because although I'm running 3x Tesla P40, it takes the space of 4 PCIe slots on an older server, plus it uses 1/3 of the power. But the Tesla series are not gaming cards, they are compute nodes. I loaded my model (mistralai/Mistral-7B-v0. You can also use 2/3/4/5/6 bit with llama. Getting two Nvidia Tesla P40 or P100 GPUs, along with a PCIe bifurcation card and a short riser cable and 3d-printing both a mounting solution that would place them at a standoff distance from the mobo, as well as an airduct that would funnel air from the front 140MM fan through both of them (and maybe a pull-fan at the exhaust). Please use our Discord server instead of supporting a company that acts The new NVIDIA Tesla P100, powered by the GP100 GPU, can perform FP16 arithmetic at twice the throughput of FP32. 8. Hi, Im trying to find a PSU that supports the Tesla P40 I Can see it needs a EPS12V 8pin CPU cable, if i dont want to purchase the adapter for it. I have the two 1100W power supplies and the proper power cable (as far as I understand). But for now it's only for rich people with 3090/4090 To those who are starting out on the llama model with llama. This community is for the FPV pilots on Reddit. I saw the GPU on Ebay listed around 200$, but considering what I want to use it for, I want to buy it second hand and cheaper. As it stands, with a P40, I can't get higher context GGML models to work. Tesla P40 . That's 0cc4m for the Vulkan and OpenCL backends. The server already has 2x E5-2680 v4's, 128gb ecc ddr4 ram, ~28tb of storage. I got a Nvidia tesla P40 and want to plug it in my Razer Core X eGPU enclosure for AI . The journey was marked by experimentation, challenges, and ultimately, a successful DIY transformation. The P40 offers slightly more VRAM (24gb vs 16gb), but is GDDR5 vs HBM2 in the P100, meaning it has far lower bandwidth, which I believe is important for inferencing. The P40 is restricted to llama. GPU2: Nvidia Tesla P40 24GB GPU3: Nvidia Tesla P40 24GB 3rd GPU also mounted with EZDIY-FAB Vertical Graphics Card Holder Bracket and a PCIE 3. x and 12. ADMIN MOD Coolers for Tesla P40 cards . Members Online • lunaxoxo. 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. /r/AMD is community run and Subreddit to discuss about Llama, Tesla P40 users - High context is achievable with GGML models + llama_HF loader Tech. However the ability to run larger models and the recent developments to GGUF make it worth it IMO. EDIT: Cameras look about the same. 49 ms per token I'd like some thoughts about the real performance difference between Tesla P40 24GB vs RTX 3060 12GB in /r/StableDiffusion is back open after the protest of Reddit killing open API access, which Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. Here's a suggested build for a system with 4 Ok so here’s what I’ve found in my testing with P40 and P100s. Help Hi all, A reddit dedicated to the profession of Computer System Administration. 71 ms / 70 tokens ( 60. P40 has more Vram, but sucks at FP16 operations. Only 30XX series has NVlink, that apparently image generation can't use multiple GPUs, text-generation supposedly allows 2 GPUs to be used simultaneously, whether I'm interested in buying a Nvidia Tesla P40 24GB. I have had a weird experience with a very large language model where I was trying to finetune it on 8 non-nvlink connected rtx 3090 and it would just keep crashing with all sorts of optimizations but worked perfectly on a single 40gb A100 even though 8*24gb is obviously Hi there im thinking of buying a Tesla p40 gpu for my homelab. ) 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 have a Tesla p40 card. If anyone is contemplating the use of a p40 and they would like me to test something for them let me know. Share Add It's slow because your KV cache is no longer offloaded. This device cannot start. com) Seems you need to make some registry setting changes: After installing the driver, you may notice that the Tesla P4 graphics card is not detected in the Task Manager. It comes in three versions: CodeLlama – 70B: The foundational code model. I got a Razer Core X eGPU and decided to install in a Nvidia Tesla P40 24 GPU and see if it works for SD AI calculations. That's not going to hold you back from using current models, but is important to know going in. (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. P6000 has higher memory bandwidth and active cooling (P40 has passive cooling). 25 votes, 24 comments. the setup is simple and only modified the eGPU fan to ventilate frontally the passive P40 card, despite this the only conflicts I encounter are related to the P40 nvidia drivers that are funneled by nvidia to use the datacenter 474. If you want WDDM support for DC GPUs like Tesla P40 you need a driver that supports it and this is only the vGPU driver. The Pascal series (P100, P40, P10 ect) is the GTX 10XX series GPUs. The 3090 can't access the memory on the P40, and just using the P40 as swap space would be even less efficient than using system memory. After that the Emergency Mode activates: BAR1: assigned to efifb but device is disabled and NVRM spams my console with: Llama. ) 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. 47 ms / 515 tokens ( 58. ASUS ESC4000 G3. Will the SpeedyBee F405 V4 stack fit in the iFlight Nazgul Evoque 5" Freestyle Frame? 2. It seems to have gotten easier to manage larger models through Ollama, FastChat, ExUI, EricLLm, exllamav2 supported projects. They're ginormous. While I can guess at the performance of the P40 based off 1080 Ti and Titan X(Pp), To create a computer build that chains multiple NVIDIA P40 GPUs together to train AI models like LLAMA or GPT-NeoX, you will need to consider the hardware, software, and infrastructure components of your build. Not Tesla. P40 works better than expected for just messing around when paired with a 3060 12gig. llama_print_timings: load time = 457. 39 ms. 20 steps 512x512 in 6. huawei. cpp but the llama crew keeps delivering features we have flash attention and apparently mmq can do INT8 as of a few days ago for another prompt processing boost. Someone advise me to test compiled llama. For what it's worth, if you are looking at llama2 70b, you should be looking also at Mixtral-8x7b. Budget for graphics cards would be around 450$, 500 if i find decent prices on gpu power cables for the server. Has anyone attempted to run Llama 3 70B unquantized on an 8xP40 rig? I'm looking to put together a build that can run Llama 3 70B in full FP16 precision. 4090 + Tesla P40 CUDA error: no kernel image is available the latest version of Koboldcpp has a different binary mode in Linux with LLAMA_PORTABLE=1 that one will compile it for every arch Reddit is dying due to terrible leadership from CEO /u/spez. xx. Or check it out in the app stores TOPICS Subreddit to discuss about Llama, ML Dual Tesla P40 Rig Case recomendations comments. The K80 is a generation behind that, as I understand it, and is mega at risk of not working, which is why you can find K80's with 24GB VRAM (2x12) for $100 on ebay. I am still running a 10 series GPU on my main workstation, they are still relevant in the gaming world and cheap. -3xNvidia Tesla P40 (24gb) - one was actually a P41 but it shows in devices as P40 and I still don't know the difference between a P40 and P41 despite some googling -Three power cable converters (Turns 2xEVGA -> CPU the P40 uses the CPU wire for power, not EVGA) -Three 40x40x28mm server fans I have dual P40's. I would probably split it between a couple windows VMs running video encoding and game streaming. The Tesla P40 is much faster at GGUF than the P100 at GGUF. Join our passionate community to stay informed and connected with the latest trends and I have a question re inference speeds on a headless Dell R720 (2x Xeon CPUs / 20 physical cores, 192 Gb DDR-3 RAM) running Ubuntu 22. is an energy + technology company originally from California and Hi all, I got ahold of a used P40 and have it installed in my r720 for machine-learning purposes. Have cabled the Tesla P40 in with a news, reviews, and advice on finding the perfect gaming laptop. System is just one of my old PCs with a B250 Gaming K4 motherboard, nothing fancy Works just fine on windows 10, and training on Mangio-RVC- Fork at fantastic speeds. Tesla P40: llama_print_timings: load time = 4217. Or check it out in the app stores TOPICS. Obviously, there's a ton of interest in AI these days, and I think the review sites kinda dropped the ball when they published all those awful reviews of the Nvidia 4060TI 16GB. I was also planning to use ESXi to pass through P40. I am looking at upgrading to either the Tesla P40 or the Tesla P100. Or check it out in the app Subreddit to discuss about Llama, Single Tesla P40 vs Single Quadro P1000 . Tesla P40 plus quadro 2000 I want to get help with installing a tesla p40 correctly alongside the quadro so I can still use Subreddit to discuss about Llama, post kit reviews and discuss the latest kits! And much more! Members Online. Or Tesla P40: llama_print_timings: load time = 4217. 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. Subreddit to discuss about Llama, I installed a Tesla P40 in the server and it works fine with PCI passthrough. Does anybody have an idea what I might have missed or need to set up for the fans to adjust based on GPU temperature? But that guide assumes you have a GPU newer than Pascal or running on CPU. Tesla p40 24GB i use Automatic1111 and ComfyUI and i'm not sure if my performance is the best or something is missing, so here is my results on AUtomatic1111 with these Commanline: -opt-sdp-attention --upcast-sampling --api Prompt. I used the paint that came with the kit but applied with Can I run the Tesla P40 off /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app news, reviews, and advice on finding the perfect gaming laptop. What you can do is split the model into two parts. Each loaded with an nVidia M10 GPU. cpp to work with it after manually patching a few things in the makefile 2 x Tesla P40's and a Quadro P4000 fits in a 1x 2x 2x slot configuration and plays nice together for 56Gb VRAM. com recommends different PSU but im unsure of the 8pin cpu connector. I can get a 70B model entirely into VRAM with two P40s. /r/AMD is community run and does not represent AMD in any I'm seeking some expert advice on hardware compatibility. 70 ms / 213 runs ( 111. Very briefly, this means that you can possibly get some speed increases and fit much larger context sizes into VRAM. Trouble getting Tesla P40 working in Windows Server 2016. However, the server fans don't go up when the GPU's temp rises. have to edit llama. Join our passionate community to stay informed and connected with the Tesla p40 24GB i use /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, news, reviews, and advice on finding the perfect gaming laptop. It is about 25% slower than a P40 but this imho I updated to the latest commit because ooba said it uses the latest llama. If someone someday fork exl2 with upcast in fp32 (not for memory saving reason, but for speed reason) - it will be amazing. Tutorial In terms of pascal-relevant optimizations for llama. is an energy + technology company originally from California and currently headquartered in Austin, Texas. debian. e: as expected tesla stans never really have a response and i got this from the mods. Members Online • oof-baroomf. The enclosure comes with 2x 8 GPU power connectors and the P40 only uses one. So, the GPU is severely throttled down and stays at around 92C with 70W power consumption. We permit neither personal attacks nor attempts to bait others into uncivil behavior. https: The P40 was designed by Nvidia for data centers to provide inference, and is a different beast than the P100. cpp with "-DLLAMA_CUDA=ON -DLLAMA_CLBLAST=ON -DLLAMA_CUDA_FORCE_MMQ=ON" option in order to use FP32 and In llama. context_params. 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. 44 tokens per second) llama_print Original Post on github (for Tesla P40): JingShing/How-to-use-tesla-p40: A manual for helping using tesla p40 gpu (github. 1 - SDPA is nearly as performant as FA2, since it has FA2 and Xformers, but the memory usage can be quite bad (still better than vanilla transformers) [P40 Pro regular mode] [iPhone 11 night mode] [P40 Pro night mode] These pics were taken before Samsung 20 Ultra was released and I have lately been testing how P40 Pro compares with 20 Ultra and to noone's surprise P40 Pro still wins in pitch black situation and extreme low-light situation. I was only able to get llama. The P40 is supported by the latest Data Center drivers for CUDA 11. Update: iPhone 11. offload Model: bartowski/Meta-Llama-3-70B-Instruct-GGUF · Hugging Face Quant: IQ4_NL GPU: 2x Nvidia Tesla P40 Machine: Dell PowerEdge r730 384gb ram Backend: KoboldCPP Frontend: Silly Tavern (fantasy/RP stuff removed Get the Reddit app Scan this QR code to download the app now. 2 I think or was it 2. 0 is 11. 87 ms per token, 8. Therefore, you need to modify the registry. Discussion First off, do these cards work with nicehash? Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. Because it sure seems like a 'sweet spot' for training. Crypto. . r/LocalLLaMA. RTX was designed for gaming and media editing. You would also need a cooling shroud and most likely a pcie 8 pin to cpu (EPS) power connector if your PSU doesn't have an extra. The other riser does not have x16 slots. Their mission is to accelerate the world's transition to sustainable If you have a spare pcie slot that is at least 8x lanes and your system natively supports Resizable Bar ( ≥ Zen2/Intel 10th gen ) then the most cost effective route would be to get a Tesla p40 on eBay for around $170. py and add: self. /r/AMD is community run and does not represent AMD With the update of the Automatic WebUi to Torch 2. The Tesla M40 and M60 are both based on Maxwell, but the Tesla P40 is based on Pascal. Join our passionate community to stay informed and connected with the latest trends and technologies in the gaming laptop Yes! the P40's are faster and draw less power. Or check I have a ASUS X370-PRO on the latest firmware and a Tesla P40. OS: Debian 12 CPU: EPYC Milan 64c 128t @ 2. The P40 driver is paid for and is likely to be very costly. Non-nvidia alternatives still can be difficult to get working, and even more hassle to Tesla M40 vs. NVIDIA Tesla P40 24gb Xilence 800w PSU I installed Ubuntu in UEFI mode. My goal is to basically have something that is reasonably coherent, and responds fast enough to one user at a time for TTS for something like home assistant. reuse one of the 12v is all I believe neither the P40 or P100 are that great, they are just very, very appealing because they are so cheap. 44 desktop installer, which Hello Local lamas 🦙! I's super excited to show you newly published DocsGPT llm’s on Hugging Face, tailor-made for tasks some of you asked for. Unfortunately you are wrong. My daily driver is a RX 7900XTX in my pc. We had 6 nodes. compared to YT videos I've seen it seems like the "processing" time is short but my response is slow to return, sometimes with pauses in between words. 2) only on the P40 and I got around Ok so here’s what I’ve found in my testing with P40 and P100s. Possibly because it supports int8 and that is yes, I use an m40, p40 would be better, for inference its fine, get a fan and shroud off ebay for cooling, and it'll stay cooler plus you can run 24/7, don't pan on finetuning though. So I think P6000 will be a right choice. We discuss the electric vehicle company, Rivian Automotive, along with their products and brand (not the stock). cpp or other similar models, you may feel tempted to purchase a used 3090, 4090, or an Apple M2 to run these models. org states that both cards use different drivers. Ask the community and try to help others with their problems as well. Sorely tempted to add a P40 for that extra legroom some day without the expense of a 2nd 3090. cpp instances sharing Tesla P40 Resources gppm now supports power and performance state management with multiple llama. I've seen people use a Tesla p40 with varying success, but most setups are focused on using them in a standard case. This is because Pascal cards have dog crap FP16 performance as we all know. On Pascal cards like the Tesla P40 you need to force CUBLAS to use the older MMQ kernel instead of using the tensor kernels. Feel free to ask any related questions or engage in discussions about topics such as issues, recommendations, reviews, comparisons, and more! I have a old pc that has a 1070ti and a 8700k in it doing not much of anything ATM, I am planning on selling the 1070ti and buying 2 p40 for rendering away slowly on the cheap, I already have a 3090 that also has 24gb but having larger projects rendering on it still takes a long time which i could use on gaming or starting other projects if I could use a spare pc to be a work horse, I . Members Online. Code Llama stands out as the most advanced and high-performing model within the Llama family. Becuase exl2 want fp16, but tesla p40 for example don't have it. 1x p40. My PSU only has one EPS connector but the +12V rail is rated for 650W. 2x 2tb SSDs Linux Ubuntu TL;DR. But here's the thing. My current setup in the Tower 3620 includes an NVIDIA RTX 2060 Super, and I'm exploring the feasibility of upgrading to a Tesla P40 for more intensive AI and deep learning tasks. But 24gb of Vram is cool. GPUs 1&2: 2x Used Tesla P40 GPUs 3&4: 2x Used Tesla P100 Motherboard: Used Gigabyte C246M-WU4 CPU: Used Intel Xeon E-2286G 6-core (a real one, not ES/QS/etc) RAM: New 64GB DDR4 2666 Corsair Vengeance PSU: New Corsair I graduated from dual M40 to mostly Dual P100 or P40. It's a different implementation of FA. Or beacuse gguf allows offload big model on 12/16 gb cards but exl2 doesn't. 95 ms / 316 runs ( 0. Join our passionate community to stay informed and connected with the latest trends and technologies in the r/Rivian is the largest and most active fan-run auto-enthusiast Rivian community. Join our passionate community to stay informed and connected with the latest trends and technologies in the gaming laptop Get the Reddit app Scan this QR code to download the app now. You'll also 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. So a 4090 fully loaded doing nothing sits at 12 Watts, and unloaded but idle = 12W. From Documentation-based QA, RAG (Retrieval Augmented Generation) to assisting developers and tech support teams by So if I have a model loaded using 3 RTX and 1 P40, but I am not doing anything, all the power states of the RTX cards will revert back to P8 even though VRAM is maxed out. 62 tokens per second) llama_print_timings: prompt eval time = 4216. 14 tokens per second) llama_print_timings: eval time = 23827. I bought an Nvidia Tesla P40 to put in my homelab server and didn't realize it uses EPS rather than PCIe. Any ideas? Edit to add: Using linux, have the most up to date drivers. It processes a 4000 token prompt in about 55 seconds, and spits out a reply at around 2 tokens per second. Be careful of the Tesla P40, despite being from the Pascal line, it has terrrrrrible FP16 performance (1/64 x speed). But a strange thing is that P6000 is cheaper when I buy them from reseller. consumer. Or check it out in the app stores Subreddit to discuss about Llama, 3090 ti, 3060 and p40 - speed and context . 26 ms per token, 3878. cpp compiler flags & performance . 06 ms / 13 tokens ( 35. ) Oh was gonna mention Xformers should work on RTX 2080s and Tesla T4s - it's a bit more involved to add Xformers in though - HF does allow SDPA directly now since Pytorch 2. The P100 also has dramatically higher FP16 and FP64 performance than the P40. The GP102 (Tesla P40 and NVIDIA Titan X), GP104 (Tesla P4), and GP106 GPUs all support instructions that can perform integer dot products on 2- and4-element 8-bit vectors, with accumulation into a 32-bit integer. /r/AMD is community run and does not represent AMD in any capacity unless specified. cpp the video card is only half loaded come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. No issues so far. I have read that the Tesla series was designed with machine learning in mind and optimized for deep learning. But it would also be useful for the other devs on llama. Resources 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. In these tests, I **TLDR:** M40 is insane value at 80 bucks on ebay, Its better value than P40 at current prices. Thanks in advance. According to the reports, it outperforms GPT-4 on HumanEval on the pass@1. Could anyone list what the Tesla p40 is better or worse than on a list of graphics cards. In the past I've been using GPTQ (Exllama) on my main system with the If you use CUDA mode on it with AutoGPTQ/GPTQ-for-llama (and use the use_cuda_fp16 = False setting) I think you'll find the P40 is capable of some really good The price of used Tesla P100 and P40 cards have fallen hard recently (~$200-250). 24 ms per token, 16. cpp still has a CPU backend, so you need at least a decent CPU or it'll bottleneck. Finish Get the Reddit app Scan this QR code to download the app now. Most people here don't need RTX 4090s. Hi there im thinking of buying a Tesla p40 gpu for my homelab. This post also conveniently leaves out the fact that CPU and hybrid CPU/GPU inference exists, which can run Llama-2-70B much cheaper then even the affordable 2x TESLA P40 option above. not just P40, ALL gpu. What I suspect happened is it uses more I saw that the Nvidia P40 arent that bad in price with a good VRAM 24GB and wondering if i could use 1 or 2 to run LLAMA 2 and increase inference times? Just wanted to share that I've finally gotten reliable, repeatable "higher context" conversations to work with the P40. r/LocalLLM. I'm not sure if a Tesla P40 will run 8-bit at any respectable speed, that could be something to look into. Some say consumer grade motherboard bios may not support this gpu. 74 tokens per second) llama_print_timings: prompt eval time = 457. I bought 4 p40's to try and build a (cheap) Server recommendations for 4x tesla p40's . Q3_K_L. A few details about the P40: you'll have to figure out cooling. TESLA P40 and TESLA P100 on HPE PROLIANT ML350P gen8 This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API reviews, and advice on finding the perfect gaming laptop. Performance on some AI tasks is simply abysmal. I don't currently have a GPU in my server and the CPU's TDP is only 65W so it should be able to handle the 250W that the P40 can pull. Full machine. P40 does slightly better in the low light and night mode. llama_print_timings: prompt eval time = 30047. Still kept one P40 for testing. ccp to enable gpu offloading for ggml due to a weird but but that's unrelated to this post. 1/72 Airfix P-40 starter kit. 9ghz) 64GB DDR4 and a Tesla P40 with 24gb Vram. The P40 does not have fan it is a server passive flow 24gb card and needs additional air flow to keep it cool for AI. Dell 7810 Xeon 2660 v4 192 gigs of ram 1x 3060 12 gig. How much faster would adding a tesla P40 be? I don't have any nvidia cards. Inferencing will slow on any system when there is more context to process. Everywhere else, only xformers works on P40 but I had to compile it. Note: Reddit is dying due to terrible leadership So I suppose the P40 stands for the "Tesla P40", OK. Tesla NVIDIA GeForce RTX 4060 Ti 16 GB Review - Twice the VRAM Making a Difference? Get the Reddit app Scan this QR code to download the app now. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Just got a Tesla P40 24GB for SD and some gaming. I'm seeking some expert advice on hardware compatibility. See r/TeslaLounge for relaxed posting, and user experiences! Tesla Inc. I saw a couple deals on used Nvidia P40's 24gb and was thinking about grabbing one to install in my R730 running proxmox. Built a rig with the intent of using it for local AI stuff, and I got a Nvidia Tesla P40, 3D printed a fan rig on it, but whenever I run SD, it is doing like 2 seconds per iteration and in the resource manager, I am only using 4 GB of VRAM, when 24 GB are available. 4 and the minimum version of CUDA for Torch 2. Discussion Hi, This is running on 2x P40's, ie: Subreddit to discuss about Llama, the large language model created by Meta AI. I've heard of Tesla cards not being recognized when those options are unavailable. 52 ms per token, 1915. I have observed a gradual slowing of inferencing perf on both my 3090 and P40 as context length increases. news, reviews, and advice on finding the perfect gaming laptop. With llama. Initially we were trying to resell them to the company we got them from, but after months of them being on the shelf, boss said if you want the hardware minus the disks, be my guest. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators This is a misconception. Everyone, i saw a lot of comparisons and discussions on P40 and P100. P40 Lite Review. Advertisement Coins. I have a tesla P40 in a supermicro 1U server which came with gpu 8+ gpu 6 adapter. They work amazing using llama. cpp and koboldcpp recently made changes to add the flash attention and KV quantization abilities to the P40. 2x TESLA P40s would cost $375, and if you want faster inference, then get 2x RTX 3090s for around $1199. Or check it out in the app stores While researching I came across the Tesla M40. Subreddit to discuss about Llama, the large language model created by Meta AI. P40-motherboard compatibility . Just wire one of the 3 gpu 12v to the 4th one. gguf with 15360 context length, all layers is offloaded. No other alternative available from nvidia with that budget and with that amount of vram. So I wouldn't even say that P40 has a better camera. View community ranking In the Top 5% of largest communities on Reddit. And P40 has no merit, comparing with P6000. So I work as a sysadmin and we stopped using Nutanix a couple months back. 60 tokens per second) llama_print_timings: eval time = 29004. The original and largest Tesla community on Reddit! An unofficial forum of owners and enthusiasts. gguf at an average of 4 tokens a second. At a rate of 25-30t/s vs 15-20t/s running Q8 GGUF models. It's an older card but has 24GB of VRAM and can be had for ~$250 if you watch ebay. Here are my P40 24GB result. Cooling is okay, but definitely not ideal, as the card stretches above the CPU heatsinks. Tesla P40 ESXi . 1. View community ranking In the Top 1% of largest communities on Reddit. x in Windows and passthrough works for WSL2 using those drivers. load time = 4093. V interesting post! Have R720+1xP40 currently, but parts for an identical config to yours are in the mail; should end up like this: R720 (2xE-2670,192gb ram) 2x P40 2x P4 1100w psu Get the Reddit app Scan this QR code to yes ggml_init_cublas: CUDA_USE_TENSOR_CORES: no ggml_init_cublas: found 1 CUDA devices: Device 0: Tesla P40, compute capability 6. upvotes here goes 1xP40, 1x3090 that should operate at P40 speeds, more or less. ##### Welp I got myself a Tesla P40 from ebay and got it working today. Or check it out in the app stores Buy a used Tesla 24Gb p40, Subreddit to discuss about Llama, the large language model created by Meta AI. But the P40 has huge VRAM and a very wide memory bandwidth, making it perfect for inference with koboldcpp / llama. It doesn’t matter what type of deployment you are using. ;) Joking aside, thanks for the thread. ADMIN MOD Tesla M40 vs P40 speed . My Tesla p40 came in today and I got right to testing, after some driver conflicts between my 3090 ti and the p40 I got the p40 working with some sketchy cooling. 60 ms / 283 runs ( 102. (Code 10) Insufficient system resources exist to complete the API . I'm running Debian 12. 16 ms per token, 28. cpp it will work. 7-6 come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Internet Culture (Viral) For those who run multiple llama. This is a HP Z840 with dual Intel Xeon processors. the water blocks are all set up for the power plug out the They are well out of official support for anything except llama. Anyone running this combination and utilising the multi-GPU feature of llama. Like, asking someone to provide receipts is uncivil or baiting apparently. The VRAM is just too nice. cpp you can try playing with LLAMA_CUDA_MMV_Y (1 is default Note: Reddit is dying due to terrible leadership from CEO /u/spez. Keep an eye out for the Tesla T4 on eBay too. Or I have a 3090 and P40 and 64GB ram and can run Meta-Llama-3-70B-Instruct-Q4_K_M. Now I’m debating yanking out four P40 from the Dells or four P100s. That is Also, you're going to be limited to running GGUF quants, because the Tesla P40 doesn't have sufficiently advanced CUDA for the EXL2 process. It's one thing to just look at it. Subreddit to discuss about Llama, Obviously I'm only able to run 65b models on the cpu/ram (I can't compile the latest llama. I've used auto wipers in multiple brands including Ford and Acura and Jeep, and Tesla's are hands down the ABSOLUTE WORST of the lot. Main "problem" is just 2nd GPU slot is way too close to the first GPU for my tastes, so I'd want to look into a riser type solution first. It's more recent and has better software support (iGoogle Collab is still using them). The Telsa P40 (as well as the M40) have mounting holes of 58mm x 58mm distance. 0 riser cable P40s each need: - ARCTIC S4028-6K - 40x40x28 mm Server Fan I'm not sure "a lot of people" and "P40" go together. It seems layers remaining on CPU lead significant performance loss when using GGUF. I can't get Superhot models to work with the additional context because Exllama is not properly supported on p40. Wiki. Using a Tesla P40 I noticed that when using llama. Subreddit to discuss r/LocalLLaMA: Subreddit to discuss about Llama, the large language model created by Meta AI. Can you please share what motherboard you use with your p40 gpu. a girl standing on a mountain I'm considering Quadro P6000 and Tesla P40 to use for machine learning. bought an adapter and measured the pims to create a smaller shorter one. 8GHZ RAM: 8x32GB DDR4 2400 octa channel GPU: Tesla P40 24GB Model: Yi-34B-200k. Which I think is decent speeds for a single P40. true. A site named whatpsu. They are going for 700 to "buy now", but I've seen 7 day auction listings are ending for half that. 04 LTS Desktop and which also has an Nvidia Tesla P40 card installed. I might be missing something, but perhaps that's why the P40s are so cheap. I was hitting 20 t/s on 2x P40 in KoboldCpp on the 6 Get the Reddit app Scan this QR code to download the app now. Yesterday, Code Llama 70b was released by Meta AI. 22 ms / 284 runs ( 0. 42 ms llama_print_timings: reviews, and intelligent discussion. cpp, P40 will have similar tps speed to 4060ti, which is about 40 tps with 7b quantized models. However, I'd like to share that there are free alternatives available for you to experiment with before investing your hard-earned money. That isn't fast, but that IS with all that context, and with very decent output in Get the Reddit app Scan this QR code to download the app now. I think some "out of the box" 4k models would work but I gppm now manages your llama. The good news is that the software methods are getting better and better. I'm considering installing an NVIDIA Tesla P40 GPU in a Dell Precision Tower 3620 workstation. ExLlamaV2 is kinda the hot thing for local LLMs and the P40 lacks support here. I plan to use it for AI Training/Modeling (I'm completely new when it comes to AI and Machine Learning), and I want to play around with things. cpp? If so would love to know more about: Your complete setup (Mobo, CPU, RAM etc) The original and largest Tesla community on Reddit! An unofficial forum of owners and enthusiasts. They will both do the job fine but the P100 will be more efficient for training neural networks. Unfortunately I can't test on my triple P40 setup anymore since I sold them for dual Titan RTX 24GB cards. Question about low GPU utilization using 2 x Tesla P40s with Ollama upvotes r/LocalLLaMA. I know I'm a little late but thought I'd add my input since I've done this mod on my Telsa P40. Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. Hardware config is Intel i5-10400 (6 cores, 12 threads ~2. cpp instances seamlessly with a touch of besides saving 40 Watt of idle power per Tesla P40 or P100 GPU Resources https://github come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. High Yield: "Apple M3, Tiny PSA about Nvidia Tesla P40 . Are PCIe->EPS adapters safe to use? Get the Reddit app Scan this QR code to download the app now. I’ve decided to try a 4 GPU capable rig. Question | Help Has anybody tried an M40, and if so , what are the /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app I'm considering buying a cheap Tesla M40 or P40 for my PC that I also use for gaming, with RTX 2060. cpp on Debian Linux. Get the Reddit app Scan this QR code to download the app now. Question | Help As in the title is it worth the upgrade, I’m just looking for a performance boost and probably stable diffusion we’re as the p1000 won’t Get the Reddit app Scan this QR code to download the app now. cpp. cpp that improved performance. 34 ms per token, 17. Or check it out in the app stores Subreddit to discuss about Llama, I wondered if it would be a good idea to double my vram capacity with an external GPU like tesla p40 (don't have power supply and space in With this I can run Mixtral 8x7B GGUF Q3KM at about 10t/s with no context and slowed to around 3t/s with 4K+ context. Some BIOS only have the "Above 4G decoding" option and Resizable BAR is enabled automatically when its selected. Works great with ExLlamaV2. Contributions must be civil and constructive. Full-precision LLama3 8b Instruct GGUF for inference on Tesla P40 and other 24 gb cards 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. Right but there are some workloads that even with multiple cards without nvlink the training will crash. cpp instances. There is such a pro-Tesla bias in that sub its sad. I have the drivers installed and the card shows up in nvidia-smi and in tensorflow. But the P40 sits at 9 Watts unloaded and unfortunately 56W loaded but idle. Join our passionate community to stay informed and connected with the latest trends and technologies in the gaming laptop world. 42 ms llama_print_timings: sample time = 73. 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. I understand P40's won't win any speed contests but they are hella cheap, and there's plenty of used rack servers that will fit 8 of them with all the appropriate PCIE lanes and whatnot. Join our passionate community to stay All because Tesla refuses to use a god damned rain sensor like everyone else. cpp because of fp16 computations, whereas the 3060 isn't. 73 ms Subreddit to discuss about Llama, but like 8 GPU slots that I can just stick like 2-4 NVIDEA Tesla P40's in. Or do I need a powerful CPU as well? post kit reviews and discuss the latest kits! And much more! Members Online. So, on a Tesla P40 with these settings: 4k context runs about 18-20 t/s! With about 7k context it slows to 3-4 t/s. ADMIN MOD Has anyone for experience getting a tesla m40 24gb working with pci pass-through in VMware in latest Ubuntu or hell even windows? I have two Tesla P40's, running on Proxmox and a Ubuntu VM (with GPU's as a direct passthrough) This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's Thought I would share my setup instructions for getting vGPU working for the 24gb Tesla M40 now that I have confirmed its stable and Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. P100 has good FP16, but only 16gb of Vram (but it's HBM2). Average it/s for Mixtral models is 20. Even if we may not realize it consciously, more often than not we are used to paying for (added) convenience. These results seem off though. Be sure to set the instruction model to Mistral. Possibly because it supports int8 and that is 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. cpp, the reviewers, to have the hardware in order to well review the changes for approval. Even worse, those other brands allow you to toggle the default speed for the auto wipers for even more flexibility. Discussion come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Yep. Subreddit to discuss about Llama, Tesla P4, Tesla P40, Tesla P100, Tesla M40, Telsa M60 Ive looked for this information everywhere, and cannot find it. are installed correctly I believe. Daylight I think I prefer Samsung and Ultra wide is better too. The infographic could use details on multi-GPU arrangements. 16 ms llama_print_timings: sample time = 164. LINUX INSTRUCTIONS: 6. And the P40 Pro's software situation definitely removes some convenience from one's life, while not GameStop Moderna Pfizer Johnson & Johnson AstraZeneca Walgreens Best Buy Novavax SpaceX Tesla. Their mission is to accelerate the world's transition to sustainable Thanks so much for sharing!I was able to follow your instructions and installed a P40 24GB to a R720 (total hardware cost was $400 for the server, $475 for the gpu and $12 for the cable, this is likely 50% cost of a new consumer PC with a 3090 24gb. Join our passionate community to stay informed and connected with the latest trends and This sub-reddit is dedicated to everything related to BMW vehicles Was looking for a cost effective way to train voice models, bought a used Nvidia Tesla P40, and a 3d printed cooler on eBay for around 150$ and crossed my fingers. Or check it out in the app stores [Dual Nvidia P40] LLama. Then each card will be responsible for Issue running Tesla P40 in Dell r720. the home of Mercedes-Benz on Reddit! We are a passionate group of fans who come together to share news, A 4060Ti will run 8-13B models much faster than the P40, though both are usable for user interaction. Cardano Dogecoin Algorand Bitcoin Litecoin Basic Attention Token Bitcoin Cash. the 1080 water blocks fit 1070, 1080, 1080ti and many other cards, it will defiantly work on a tesla P40 (same pcb) but you would have to use a short block (i have never seen one myself) or you use a full size block and cut off some of the acrylic at the end to make room for the power plug that comes out the back of the card. I don't remember the wattage of the PSU at the moment, but I think it is 1185 watt. Cuda drivers, conda env etc. There's a couple caveats though: These cards get HOT really fast. I used the paint that came with the kit but applied with airbrush From the look of it, P40's PCB board layout looks exactly like 1070/1080/Titan X and Titan Xp I'm pretty sure I've heard the pcb of the P40 and titan cards are the same. Nvidia drivers are version 510. But now, when I boot the system and decrypt it, I'm getting greeted with a long waiting time (like 2 minutes or so). 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