Tesla p40 llama reddit review. I’ve decided to try a 4 GPU capable rig.
● Tesla p40 llama reddit review 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. Discussion come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Can you please share what motherboard you use with your p40 gpu. ##### Welp I got myself a Tesla P40 from ebay and got it working today. 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. ExLlamaV2 is kinda the hot thing for local LLMs and the P40 lacks support here. 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. Finish Get the Reddit app Scan this QR code to download the app now. 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. You pretty much NEED to add fans in order to get them cooled, otherwise they thermal-throttle and become very slow. py and add: self. Cooling is okay, but definitely not ideal, as the card stretches above the CPU heatsinks. . Inferencing will slow on any system when there is more context to process. I was only able to get llama. 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. 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. 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. I have read that the Tesla series was designed with machine learning in mind and optimized for deep learning. Have cabled the Tesla P40 in with a news, reviews, and advice on finding the perfect gaming laptop. P40 works better than expected for just messing around when paired with a 3060 12gig. So I wouldn't even say that P40 has a better camera. I loaded my model (mistralai/Mistral-7B-v0. So I work as a sysadmin and we stopped using Nutanix a couple months back. I am looking at upgrading to either the Tesla P40 or the Tesla P100. 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. 24 ms per token, 16. On Pascal cards like the Tesla P40 you need to force CUBLAS to use the older MMQ kernel instead of using the tensor kernels. Some BIOS only have the "Above 4G decoding" option and Resizable BAR is enabled automatically when its selected. load time = 4093. I have a tesla P40 in a supermicro 1U server which came with gpu 8+ gpu 6 adapter. I saw a couple deals on used Nvidia P40's 24gb and was thinking about grabbing one to install in my R730 running proxmox. Nvidia drivers are version 510. Daylight I think I prefer Samsung and Ultra wide is better too. Becuase exl2 want fp16, but tesla p40 for example don't have it. I am still running a 10 series GPU on my main workstation, they are still relevant in the gaming world and cheap. They're ginormous. It's an older card but has 24GB of VRAM and can be had for ~$250 if you watch ebay. Subreddit to discuss about Llama, I installed a Tesla P40 in the server and it works fine with PCI passthrough. At a rate of 25-30t/s vs 15-20t/s running Q8 GGUF models. I bought an Nvidia Tesla P40 to put in my homelab server and didn't realize it uses EPS rather than PCIe. I'm running Debian 12. Or Tesla P40: llama_print_timings: load time = 4217. 16 ms llama_print_timings: sample time = 164. 74 tokens per second) llama_print_timings: prompt eval time = 457. 7-6 come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. It doesn’t matter what type of deployment you are using. Or do I need a powerful CPU as well? post kit reviews and discuss the latest kits! And much more! Members Online. It's more recent and has better software support (iGoogle Collab is still using them). 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. Yep. Unfortunately you are wrong. Question about low GPU utilization using 2 x Tesla P40s with Ollama upvotes r/LocalLLaMA. Which I think is decent speeds for a single P40. With llama. The VRAM is just too nice. 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. are installed correctly I believe. 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 (~$200-250). 14 tokens per second) llama_print_timings: eval time = 23827. 1x p40. I’ve decided to try a 4 GPU capable rig. There's a couple caveats though: These cards get HOT really fast. 95 ms / 316 runs ( 0. 71 ms / 70 tokens ( 60. In these tests, I **TLDR:** M40 is insane value at 80 bucks on ebay, Its better value than P40 at current prices. This post also conveniently leaves out the fact that CPU and hybrid CPU/GPU inference exists, which can run Llama-2-70B much cheaper then even the affordable 2x TESLA P40 option above. That's not going to hold you back from using current models, but is important to know going in. The server already has 2x E5-2680 v4's, 128gb ecc ddr4 ram, ~28tb of storage. ADMIN MOD Coolers for Tesla P40 cards . GPUs 1&2: 2x Used Tesla P40 GPUs 3&4: 2x Used Tesla P100 Motherboard: Used Gigabyte C246M-WU4 CPU: Used Intel Xeon E-2286G 6-core (a real one, not ES/QS/etc) RAM: New 64GB DDR4 2666 Corsair Vengeance PSU: New Corsair I graduated from dual M40 to mostly Dual P100 or P40. Budget for graphics cards would be around 450$, 500 if i find decent prices on gpu power cables for the server. 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. However the ability to run larger models and the recent developments to GGUF make it worth it IMO. ) 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. Tutorial In terms of pascal-relevant optimizations for llama. 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. I got a Nvidia tesla P40 and want to plug it in my Razer Core X eGPU enclosure for AI . Yesterday, Code Llama 70b was released by Meta AI. 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. High Yield: "Apple M3, Tiny PSA about Nvidia Tesla P40 . No other alternative available from nvidia with that budget and with that amount of vram. huawei. This is a HP Z840 with dual Intel Xeon processors. xx. cpp, the reviewers, to have the hardware in order to well review the changes for approval. Contributions must be civil and constructive. gguf at an average of 4 tokens a second. Internet Culture (Viral) For those who run multiple llama. 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. 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. 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. 2 I think or was it 2. Members Online. But a strange thing is that P6000 is cheaper when I buy them from reseller. cpp, P40 will have similar tps speed to 4060ti, which is about 40 tps with 7b quantized models. (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. The P40 is supported by the latest Data Center drivers for CUDA 11. And P40 has no merit, comparing with P6000. 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. View community ranking In the Top 1% of largest communities on Reddit. Right but there are some workloads that even with multiple cards without nvlink the training will crash. My daily driver is a RX 7900XTX in my pc. Here are my P40 24GB result. So a 4090 fully loaded doing nothing sits at 12 Watts, and unloaded but idle = 12W. Q3_K_L. Or check it out in the app Subreddit to discuss about Llama, Single Tesla P40 vs Single Quadro P1000 . ccp to enable gpu offloading for ggml due to a weird but but that's unrelated to this post. Members Online • oof-baroomf. Everywhere else, only xformers works on P40 but I had to compile it. 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. Now I’m debating yanking out four P40 from the Dells or four P100s. Hardware config is Intel i5-10400 (6 cores, 12 threads ~2. 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. NVIDIA Tesla P40 24gb Xilence 800w PSU I installed Ubuntu in UEFI mode. llama_print_timings: prompt eval time = 30047. 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. That's 0cc4m for the Vulkan and OpenCL backends. As it stands, with a P40, I can't get higher context GGML models to work. Most people here don't need RTX 4090s. 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 P100 also has dramatically higher FP16 and FP64 performance than the P40. Using a Tesla P40 I noticed that when using llama. The original and largest Tesla community on Reddit! An unofficial forum of owners and enthusiasts. 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. org states that both cards use different drivers. It's a different implementation of FA. View community ranking In the Top 5% of largest communities on Reddit. Keep an eye out for the Tesla T4 on eBay too. The Pascal series (P100, P40, P10 ect) is the GTX 10XX series GPUs. cpp still has a CPU backend, so you need at least a decent CPU or it'll bottleneck. Sorely tempted to add a P40 for that extra legroom some day without the expense of a 2nd 3090. cpp with "-DLLAMA_CUDA=ON -DLLAMA_CLBLAST=ON -DLLAMA_CUDA_FORCE_MMQ=ON" option in order to use FP32 and In llama. Cuda drivers, conda env etc. It processes a 4000 token prompt in about 55 seconds, and spits out a reply at around 2 tokens per second. The Tesla M40 and M60 are both based on Maxwell, but the Tesla P40 is based on Pascal. No issues so far. 26 ms per token, 3878. 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. I would probably split it between a couple windows VMs running video encoding and game streaming. 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. Just wire one of the 3 gpu 12v to the 4th one. P6000 has higher memory bandwidth and active cooling (P40 has passive cooling). ) 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. The infographic could use details on multi-GPU arrangements. the water blocks are all set up for the power plug out the They are well out of official support for anything except llama. 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. ADMIN MOD Tesla M40 vs P40 speed . 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 the P40 sits at 9 Watts unloaded and unfortunately 56W loaded but idle. Note that llama. P40 has more Vram, but sucks at FP16 operations. 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. cpp instances sharing Tesla P40 Resources gppm now supports power and performance state management with multiple llama. Or beacuse gguf allows offload big model on 12/16 gb cards but exl2 doesn't. 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. x and 12. Advertisement Coins. 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. See r/TeslaLounge for relaxed posting, and user experiences! Tesla Inc. 47 ms / 515 tokens ( 58. I think some "out of the box" 4k models would work but I gppm now manages your llama. Very briefly, this means that you can possibly get some speed increases and fit much larger context sizes into VRAM. So I think P6000 will be a right choice. 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 . These results seem off though. Trouble getting Tesla P40 working in Windows Server 2016. 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. /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. I have a Tesla p40 card. 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. A site named whatpsu. 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. I've seen people use a Tesla p40 with varying success, but most setups are focused on using them in a standard case. 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. true. Note: Reddit is dying due to terrible leadership So I suppose the P40 stands for the "Tesla P40", OK. https: The P40 was designed by Nvidia for data centers to provide inference, and is a different beast than the P100. gguf with 15360 context length, all layers is offloaded. I might be missing something, but perhaps that's why the P40s are so cheap. The other riser does not have x16 slots. 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. 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. cpp instances. 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. 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. 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. I can't get Superhot models to work with the additional context because Exllama is not properly supported on p40. 16 ms per token, 28. I bought 4 p40's to try and build a (cheap) Server recommendations for 4x tesla p40's . This device cannot start. We permit neither personal attacks nor attempts to bait others into uncivil behavior. 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. 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. debian. 4 and the minimum version of CUDA for Torch 2. 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. 04 LTS Desktop and which also has an Nvidia Tesla P40 card installed. The journey was marked by experimentation, challenges, and ultimately, a successful DIY transformation. /r/AMD is community run and does not represent AMD in any I'm seeking some expert advice on hardware compatibility. Ask the community and try to help others with their problems as well. There is such a pro-Tesla bias in that sub its sad. 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. 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. 2) only on the P40 and I got around Ok so here’s what I’ve found in my testing with P40 and P100s. However, I'd like to share that there are free alternatives available for you to experiment with before investing your hard-earned money. LINUX INSTRUCTIONS: 6. It's one thing to just look at it. 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. Not Tesla. e: as expected tesla stans never really have a response and i got this from the mods. I'm considering installing an NVIDIA Tesla P40 GPU in a Dell Precision Tower 3620 workstation. Or check I have a ASUS X370-PRO on the latest firmware and a Tesla P40. Or check it out in the app stores Subreddit to discuss about Llama, 3090 ti, 3060 and p40 - speed and context . 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. Tesla P40 . 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. But the P40 has huge VRAM and a very wide memory bandwidth, making it perfect for inference with koboldcpp / llama. Thanks in advance. Still kept one P40 for testing. 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. r/LocalLLaMA. 94 tokens per second) llama_print_timings: total time = 54691. 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. 8GHZ RAM: 8x32GB DDR4 2400 octa channel GPU: Tesla P40 24GB Model: Yi-34B-200k. 34 ms per token, 17. It comes in three versions: CodeLlama – 70B: The foundational code model. Are PCIe->EPS adapters safe to use? Get the Reddit app Scan this QR code to download the app now. 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. 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. You can also use 2/3/4/5/6 bit with llama. They work amazing using llama. For what it's worth, if you are looking at llama2 70b, you should be looking also at Mixtral-8x7b. /r/AMD is community run and does not represent AMD With the update of the Automatic WebUi to Torch 2. The enclosure comes with 2x 8 GPU power connectors and the P40 only uses one. 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. Be sure to set the instruction model to Mistral. 25 votes, 24 comments. 42 ms llama_print_timings: sample time = 73. They are going for 700 to "buy now", but I've seen 7 day auction listings are ending for half that. P40 does slightly better in the low light and night mode. P40-motherboard compatibility . 87 ms per token, 8. Average it/s for Mixtral models is 20. I don't remember the wattage of the PSU at the moment, but I think it is 1185 watt. I was also planning to use ESXi to pass through 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. I've heard of Tesla cards not being recognized when those options are unavailable. 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. 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. Wiki. 06 ms / 13 tokens ( 35. 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. 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. 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. 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. Code Llama stands out as the most advanced and high-performing model within the Llama family. 60 ms / 283 runs ( 102. 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. Performance on some AI tasks is simply abysmal. Join our passionate community to stay informed and connected with the latest trends and technologies in the gaming laptop world. cpp or other similar models, you may feel tempted to purchase a used 3090, 4090, or an Apple M2 to run these models. Or check it out in the app stores TOPICS Subreddit to discuss about Llama, ML Dual Tesla P40 Rig Case recomendations comments. What you can do is split the model into two parts. news, reviews, and advice on finding the perfect gaming laptop. 52 ms per token, 1915. 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. Anyone running this combination and utilising the multi-GPU feature of llama. But the Tesla series are not gaming cards, they are compute nodes. Subreddit to discuss r/LocalLLaMA: Subreddit to discuss about Llama, the large language model created by Meta AI. 9ghz) 64GB DDR4 and a Tesla P40 with 24gb Vram. 39 ms. llama_print_timings: load time = 457. 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. 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. According to the reports, it outperforms GPT-4 on HumanEval on the pass@1. 0 is 11. 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. It seems layers remaining on CPU lead significant performance loss when using GGUF. /r/AMD is community run and does not represent AMD in any capacity unless specified. Join our passionate community to stay All because Tesla refuses to use a god damned rain sensor like everyone else. 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. 1/72 Airfix P-40 starter kit. 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. Could anyone list what the Tesla p40 is better or worse than on a list of graphics cards. x in Windows and passthrough works for WSL2 using those drivers. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators This is a misconception. Or check it out in the app stores While researching I came across the Tesla M40. Some say consumer grade motherboard bios may not support this gpu. Unfortunately I can't test on my triple P40 setup anymore since I sold them for dual Titan RTX 24GB cards. The Tesla P40 and P100 are both within my prince range. I know I'm a little late but thought I'd add my input since I've done this mod on my Telsa P40. 1. Like, asking someone to provide receipts is uncivil or baiting apparently. But 24gb of Vram is cool. com recommends different PSU but im unsure of the 8pin cpu connector. I can get a 70B model entirely into VRAM with two P40s. The good news is that the software methods are getting better and better. Will the SpeedyBee F405 V4 stack fit in the iFlight Nazgul Evoque 5" Freestyle Frame? 2. 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 have observed a gradual slowing of inferencing perf on both my 3090 and P40 as context length increases. Each loaded with an nVidia M10 GPU. The Tesla P40 is much faster at GGUF than the P100 at GGUF. 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. bought an adapter and measured the pims to create a smaller shorter one. Get the Reddit app Scan this QR code to download the app now. 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. I'm not sure if a Tesla P40 will run 8-bit at any respectable speed, that could be something to look into. cpp it will work. cpp compiler flags & performance . Then each card will be responsible for Issue running Tesla P40 in Dell r720. Tesla P40 ESXi . Subreddit to discuss about Llama, the large language model created by Meta AI. ;) Joking aside, thanks for the thread. ASUS ESC4000 G3. Any ideas? Edit to add: Using linux, have the most up to date drivers. 2x TESLA P40s would cost $375, and if you want faster inference, then get 2x RTX 3090s for around $1199. We had 6 nodes. EDIT: Cameras look about the same. 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. Members Online • lunaxoxo. 2x 2tb SSDs Linux Ubuntu TL;DR. 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. -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. /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. Someone advise me to test compiled llama. But here's the thing. Crypto. Dell 7810 Xeon 2660 v4 192 gigs of ram 1x 3060 12 gig. 70 ms / 213 runs ( 111. Tesla P40: llama_print_timings: load time = 4217. Because it sure seems like a 'sweet spot' for training. Be careful of the Tesla P40, despite being from the Pascal line, it has terrrrrrible FP16 performance (1/64 x speed). Discussion Hi, This is running on 2x P40's, ie: Subreddit to discuss about Llama, the large language model created by Meta AI. cpp that improved performance. Hi there im thinking of buying a Tesla p40 gpu for my homelab. 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. Even if we may not realize it consciously, more often than not we are used to paying for (added) convenience. P40 Lite Review. After that the Emergency Mode activates: BAR1: assigned to efifb but device is disabled and NVRM spams my console with: Llama. If someone someday fork exl2 with upcast in fp32 (not for memory saving reason, but for speed reason) - it will be amazing. 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. 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. 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. 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. 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. 62 tokens per second) llama_print_timings: prompt eval time = 4216. We discuss the electric vehicle company, Rivian Automotive, along with their products and brand (not the stock). 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). They will both do the job fine but the P100 will be more efficient for training neural networks. 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. I have the two 1100W power supplies and the proper power cable (as far as I understand). Or check it out in the app stores [Dual Nvidia P40] LLama. 22 ms / 284 runs ( 0. Even worse, those other brands allow you to toggle the default speed for the auto wipers for even more flexibility. This is because Pascal cards have dog crap FP16 performance as we all know. How much faster would adding a tesla P40 be? I don't have any nvidia cards. 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. 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. 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. 20 steps 512x512 in 6. Everyone, i saw a lot of comparisons and discussions on P40 and P100. Or check it out in the app stores TOPICS. I have the drivers installed and the card shows up in nvidia-smi and in tensorflow. Share Add It's slow because your KV cache is no longer offloaded. r/LocalLLM. 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. context_params. Discussion First off, do these cards work with nicehash? Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. My PSU only has one EPS connector but the +12V rail is rated for 650W. The P40 driver is paid for and is likely to be very costly. cpp. Non-nvidia alternatives still can be difficult to get working, and even more hassle to Tesla M40 vs. 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. 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. not just P40, ALL gpu. ) 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). (Code 10) Insufficient system resources exist to complete the API . Cardano Dogecoin Algorand Bitcoin Litecoin Basic Attention Token Bitcoin Cash. The P40 is restricted to llama. Update: iPhone 11. 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. 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. 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. Or I have a 3090 and P40 and 64GB ram and can run Meta-Llama-3-70B-Instruct-Q4_K_M. But for now it's only for rich people with 3090/4090 To those who are starting out on the llama model with llama. But now, when I boot the system and decrypt it, I'm getting greeted with a long waiting time (like 2 minutes or so). 8. 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. 42 ms llama_print_timings: reviews, and intelligent discussion. RTX was designed for gaming and media editing. If anyone is contemplating the use of a p40 and they would like me to test something for them let me know. a girl standing on a mountain I'm considering Quadro P6000 and Tesla P40 to use for machine learning. cpp because of fp16 computations, whereas the 3060 isn't. But it would also be useful for the other devs on llama. Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. OS: Debian 12 CPU: EPYC Milan 64c 128t @ 2. 60 tokens per second) llama_print_timings: eval time = 29004. have to edit llama. 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. Works great with ExLlamaV2. However, the server fans don't go up when the GPU's temp rises. consumer. upvotes here goes 1xP40, 1x3090 that should operate at P40 speeds, more or less. This community is for the FPV pilots on Reddit. 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. is an energy + technology company originally from California and currently headquartered in Austin, Texas. cpp and koboldcpp recently made changes to add the flash attention and KV quantization abilities to the P40. 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. Full machine. I'm seeking some expert advice on hardware compatibility. It seems to have gotten easier to manage larger models through Ollama, FastChat, ExUI, EricLLm, exllamav2 supported projects. 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. A few details about the P40: you'll have to figure out cooling. Therefore, you need to modify the registry. cpp the video card is only half loaded come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. P100 has good FP16, but only 16gb of Vram (but it's HBM2). The Telsa P40 (as well as the M40) have mounting holes of 58mm x 58mm distance. Subreddit to discuss about Llama, Members Online • TeknikL. Help Hi all, A reddit dedicated to the profession of Computer System Administration. So, the GPU is severely throttled down and stays at around 92C with 70W power consumption. pxotrfdkrkstnwqipepdmylpfnulrcymwunptpyqesxxxruc