Tesla p40 exllama reddit. With the update of the Automatic WebUi to Torch 2.
Tesla p40 exllama reddit The male side of the atx12v cable went into the Tesla M40 card. This means you cannot use GPTQ on P40. 24 gb ram, Titan x (Pascal) Performance. I think some "out of the box" 4k models would work but I I graduated from dual M40 to mostly Dual P100 or P40. The atx12v cable arrived today. 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 Tesla P40 is much much better than RTX Tesla T10-8 in normal performance. But the P40 sits at 9 Watts unloaded and unfortunately 56W loaded but idle. e. The "HF" version is slow as molasses. The male side of this "Dual 6 Pin Female to 8 Pin Male GPU Everyone, i saw a lot of comparisons and discussions on P40 and P100. I have the drivers installed and the card shows up in nvidia-smi and in tensorflow. FYI it's also possible to unblock the full 8GB on the P4 and Overclock it to run at 1500Mhz instead of the stock 800Mhz 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. a girl standing on a mountain That should mean you have a Dell branded card. Dresome_sx • • Edited . Have read a few threads but am a bit unsure of how it's meant to be cabled. I see a lot of posts discussing that instead of the usual GPU power sockets, the P40 has an 8 pin ATX one usually used to power CPUs and needs 250 W. Most people here don't need RTX 4090s. The Telsa P40 (as well as the M40) have mounting holes of 58mm x 58mm distance. Hi all, I have So I am using CentOS 8 stream host connected to a VirtIO cluster the hardware is 2 Nvidia Tesla P40 graphics cards installed on a poweredge R480. This community is for the FPV pilots on Reddit. I’ve decided to try a 4 GPU capable rig. cpp beats exllama on my machine and can use the P40 on Q6 models. But it's like $7000. 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. Valheim; Genshin Impact; Minecraft; Tesla P40 is basically 4 2080s strapped together, meant for virtualization and machine learning. Yes! the P40's are faster and draw less power. However, the server fans don't go up when the GPU's temp rises. 1 again I can't remember, but that was important for some reason. I think the last update was getting two P40s to do ~5 t/s on 70b q4_K_M which is an amazing feat for such old hardware. For example exllama - currently the fastest library for 4bit inference - does not work on P40 because it does not have support for required operations or smth. Therefore, you need to modify the registry. Any third party runs full boar. Tomorrow I'll receive the liquid cooling kit and I sould get constant results. All posts must be related to Tesla, its business, products, or people. At a rate of 25-30t/s vs 15-20t/s running Q8 GGUF models. This sub is for discussions about Tesla Inc. Will This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, Thought I would share my setup instructions for getting vGPU working for the 24gb Tesla M40 now that I have confirmed its stable and runs correctly as the default option only had a Do you think a p40 will work Right but there are some workloads that even with multiple cards without nvlink the training will crash. 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 Especially since you have a near identical setup to me. cpp, exllama) Question | Help Tesla P40 users I have a ASUS X370-PRO on the latest firmware and a Tesla P40. Or check it out in the app stores TOPICS what's giving more performance right now a p100 running exllama2/fp16 or p40 running whatever it is it runs? so that means the perf gain is small on exllama for p100's compared to gguf/gptq? I bought 4 p40's to try and build a (cheap) Server recommendations for 4x tesla p40's . Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators. New. You'll need at least a Turing based GPU to get decent speeds. Total system cost with 2KW PSU, was around £2500. I can't find any documentation on /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. I'm trying to install the Tesla P40 drivers on the host so then the VM's can see the video hardware and get it assigned. Though, I've struggled to see I installed a Tesla P40 in the server and it works fine with PCI passthrough. You will need a fan adapter for cooling and an adapter for the power plug. I'm looking into adding a P40 GPU to a Dell r7910 (which I understand is supposedly more or less equivalent to an r730). 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. cpp dev Johannes is seemingly on a mission to squeeze as much performance as possible out of P40 cards. 250w power consumption, no video output. We just recently purchased two PowerEdge R740's each with a Tesla P40 from Dell. Subsystem: NVIDIA Corporation GP102GL [Tesla P40] Flags: bus master, fast devsel, latency 0, IRQ 255, NUMA node 1 Memory at c8000000 (32-bit, non-prefetchable 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. Well, I've been tinkering with a tesla M40 24GB and it does: 2. SuperHOT for example relies upon Exllama for proper support of the extended context. Please use our Discord server instead of supporting a company that acts against its users and unpaid The P40 is Pascal based so it will still be pretty slow. 9. You will receive exllama support. Let's try with llama 2 13b. To date I have various Dell Poweredge R720 and R730 with mostly dual GPU configurations. Or check it out in the app stores TOPICS. This makes running 65b sound feasible. b. The other riser does not have x16 slots. But now, when I boot the system and decrypt it, I'm getting greeted with a long waiting time (like 2 minutes or so). P40s basically can't run this. This device cannot start. Curious The llama. /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. 1. 3 DDA GPU driver package for Microsoft platforms Get the Reddit app Scan this QR code to download the app now. cpp, or P100 and exllama, and you're locked in. For a more up-to-date ToT see You need 3 P100s vs the 2 P40s. More info: 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. 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. I am still running a 10 series GPU on my main workstation, they are still relevant in the gaming world and cheap. With Tesla P40 24GB, I've got 22 tokens/sec. Cuda drivers, conda env etc. 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. Got two Tesla P40 24gb cards in my possession and I'm in the process of building a local LLM rig. I have the two 1100W power supplies and the proper power cable (as far as I understand). cpp instances, but also to switch them completely independently of each other to the lower performance mode when no task is running on the respective GPU and to the higher performance mode when a task has been started on it. For example if you use an Nvidia card, you'd be able to add a cheap $200 p40 for 24gb of vram right? Then you'd be able to split whatever much you could to your main GPU and the rest to the p40. Then each card will be responsible for Exllama 1 and 2 as far as I've seen don't have anything like that because they are much more heavily optimized for new hardware so you'll have to avoid using them for loading models. 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. I'm seeing 20+ tok/s on a 13B model with gptq-for-llama/autogptq and 3-4 toks/s with exllama on my P40. Now due to these cards being datacenter passively cooled cards that rely on the airflow the server fans generate there are some mods I need to do which basically involve sticking a 10W blower fan on the front of the card to get good static pressure and airflow over them. 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. 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. But a strange thing is that P6000 is cheaper when I buy them from reseller. Now I’m debating yanking out four P40 from the Dells or four P100s. iDRAC recognizes the pcie device, Prism shows the gpu and recognizes it as available for pass through, however once passed through into a VM it kills the Nvidia driver with code 13 for lack of resources. gguf. Hi all, I got ahold of a used P40 and have it installed in my r720 for machine-learning purposes. 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. But the Tesla series are not gaming cards, they are compute nodes. This means only very small models can be run on P40. Discussion First off, do these cards work with nicehash? Controversial. Title. Q4_K_M. As a result, inferencing is slow. 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. 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. I don't want ANYONE to buy a P40 for over 180$ (They are The Tesla P40 and P100 are both within my prince range. Subreddit to discuss A 4060Ti will run 8-13B models much faster than the P40, though both are usable for user interaction. cpp is very capable but there are benefits to the Exllama / EXL2 combination. Exllama doesn't work, but other implementations like AutoGPTQ support this setup just fine. Which brings to the P40. Overall goal: Work on NLP Can you tell me what stuff to install properly so I can smoothly start coding. Question | Help P40 will be slightly faster but doesn't have video out. ) gppm will soon not only be able to manage multiple Tesla P40 GPUs in operation with multiple llama. Help Anyone know if it’s possible to add Nvidia tesla P40 for ai image generation . 0 is 11. Tesla P40 plus quadro 2000 I want to get help with installing a tesla p40 correctly alongside the quadro so I can still use a display. Tesla P40 keeps locking up about %60 through a batch of images on ComfyUi. because tesla's game performance would be shit. Diffusion speeds are doable with LCM and Xformers but even compared to the 2080ti it is lulz. 2. c. I bought an Nvidia Tesla P40 to put in my homelab server and didn't realize it uses EPS rather than PCIe. The P40 offers slightly more VRAM (24gb vs 16gb), but is GDDR5 vs HBM2 in the P100, meaning it has far lower bandwidth, Its really quite simple, exllama's kernels do all calculations on half floats, Pascal gpus other than GP100 (p100) are very slow in fp16 because only a tiny fraction of the devices shaders can do **TLDR:** M40 is insane value at 80 bucks on ebay, Its better value than P40 at current prices. But in RTX supported games, of course RTX Tesla T10-8 is much better. Maybe it would be better to buy 2 P100s, it might fit in 24+32 and you'll preserve exllama support. 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’m looking for some advice about possibly using a Tesla P40 24GB in an older dual 2011 Xeon server with 128GB of ddr3 This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Comments on posts should stay on topic and add to the discussion, and there should be no attempts to threadjack. I'm considering installing an NVIDIA Tesla P40 GPU in a Dell Precision Tower 3620 workstation. Super slow. A place dedicated to discuss Acer-related news, rumors and posts. 8. I put 12,6 on the gpu-split box and the average tokens/s is 17 with 13b models. If someone has the right settings I With the tesla cards the biggest problem is that they require Above 4G decoding. So, the GPU is severely throttled down and stays at around 92C with 70W power consumption. I loaded my model Just wanted to share that I've finally gotten reliable, repeatable "higher context" conversations to work with the P40. Top. ASUS ESC4000 G3. 44 Gps at 190W on Cuckoo29 This sub-reddit is dedicated to everything related to BMW vehicles, tuning Get the Reddit app Scan this QR code to download the app now. It's so dramatic that running a 3. Tesla P40 ESXi . 04 LTS Desktop and which also has an Nvidia Tesla P40 card installed. use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:usernameusername I have been researching a replacement GPU to take the budget value crown for inference. I'm developing AI assistant for fiction writer. if you input a huge prompt or a chat with a long history it can take ~10 seconds before the model starts outputting. The P40 SD speed is only a little slower than P100. I use KoboldCPP with DeepSeek Coder 33B q8 and 8k context on 2x P40 I just set their Compute Mode to compute only using: Note: Reddit is dying due to terrible leadership from CEO /u/spez. In a month when i receive a P40 i´ll try the same for 30b models, trying to use 12,24 with exllama and see if it works. The one I'm currently using on my gaming VM says "NVIDIA GRID GTX P40-12" So I suppose the P40 stands for the "Tesla P40", OK. a girl standing on a mountain Tesla M40 vs P40 speed . This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Choose the r720 due to explicit P40 mobo support in the Dell manual plus Tiny PSA about Nvidia Tesla P40 . I'd like some thoughts about the real performance difference between Tesla P40 24GB vs RTX 3060 12GB in Stable Diffusion and Image Creation /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. 4? Tesla P40 users 1x Nvidia Tesla P40, Intel Xeon E-2174G (similar to 7700K), 64GB DDR4 2666MHz, IN A VM with 24GB allocated to it. r/LocalLLaMA. I got a Nvidia tesla P40 and want to plug it in my Razer Core X eGPU enclosure for AI . Hello all, Tesla M40 vs. 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. Usually on the lower side. are installed correctly I believe. I have a P40 running on an HP Z620 and using a Quadro K2200 as a display out and in a 3rd slot I have a Tesla M40. Downsides are that it uses more ram and crashes when it runs out of memory. P41 was faster than I could read. More info: Am in the proces of setting up a cost-effective P40 setup with a cheap refurb Dell R720 rack server w/ 2x xeon cpus w/ 10 physical cores each, 192gb ram, sata ssd and P40 gpu. cpp since it doesn't work on exllama at reasonable speeds. Does anybody have an idea what I might have missed or need to set up for the fans to adjust based on GPU temperature? 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. Or check it out in the app stores Single Tesla P40 vs Single Quadro P1000 . I personally run voice recognition and voice generation on P40. 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. nope, old Exllama still ~2. But still looking forward to results of how it compares with exllama in random, I was considering making a LLM from scratch on a pair of Tesla M40 24GB cards I have sitting it will let you stand up a model on your cards. Help Hi all, A reddit dedicated to the profession of Computer System Administration. Welcome to /r/AcerOfficial, Reddit's biggest acer related sub. As the title states I currently don't have a P40. It will have to be with llama. I bought my card assuming there would be decent solutions on Thingiverse but there were not many options. I can't get Superhot models to work with the additional context because Exllama is not properly supported on p40. It is about 25% slower than a P40 but this imho Hi, guys first post here I think. I get between 2-6 t/s depending on the model. Q5_K_M. Or check NVIDIA Tesla P4 & P40 - New Pascal GPUs Accelerate Inference Best. 224GB total, 32 cores, 4 GPUs, water cooled. $TSLA Alright so I recently picked up a Tesla p40 for using in proxmox. 6-mixtral-8x7b. 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. I have a Tesla m40 12GB that I tried to get working over eGPU but it only works on motherboards with Above 4G Decoding as a bios setting. It has FP16 support, but only in like 1 out of every 64 cores. 25 votes, 24 comments. Or check it out in the app stores Check the TGI version and make sure it’s using the exllama kernels introduced in v0. I am using Ubuntu server as the software. Rhind brought up good points that already brought to my attention I was making some mistakes and have been working on remedying the issues. Performance might improve a little more, but I haven't tested the LLM on it yet. 0 PCIe x1 card Software setup: Windows Server 2022 Datacenter Hyper-V installed as Windows Feature Nvidia Complete vGPU 16. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. 25 t/s (ran more than once to make sure it's not a fluke) Ok, maybe it's the max_seq_len or alpha_value, so here's a test with the default llama 1 context of 2k. very detailed pros and cons, but I would like to ask, anyone try to mix up one r/TSLA: Discussion about TESLA Stock (TSLA) and its technology. There is a flag for gptq/torch called use_cuda_fp16 = False that gives a massive speed boost -- is it possible to do So, P40s have already been discussed, and despite the nice 24GB chunk of VRAM, unfortunately aren't viable with ExLlama on account of the abysmal FP16 performance. Got all the required drivers and such from Nvidia. Question - Help /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. More info: Edit: Tesla M40*** not a P40, my bad. Works fine for me. upvotes I saw a couple deals on used Nvidia P40's 24gb and was thinking about grabbing one to install in my R730 running proxmox. If you are like me and buying up some of the cheap Tesla P4s off of ebay you might be worrying about how to cool your new GPU down. P40 was reading speed. 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. true. A few details about the P40: you'll have to figure out cooling. When I first tried my P40 I still had an install of Ooga with a newer bitsandbyes. Unfortunately the Power cable that came with the GPU is not compatible with the Riser board. Tried Supermicro tech support but no definitive answer yet, and they seemed uncertain. I have a rtx 4070 and gtx 1060 (6 gb) working together without problems with exllama. If anybody has something better on P40, please share. So Tesla P40 cards work out of the box with ooga, but they have to use an older bitsandbyes to maintain compatibility. Question about low GPU utilization using 2 x Tesla P40s with Ollama upvotes r/LocalLLaMA. More info on setting up these cards can be found here. I modeled one up in FreeCAD that is reversible, easy to print and prints fast. The GP102 (Tesla P40 and NVIDIA Titan X), GP104 (Tesla P4), and GP106 GPUs all support instructions that can Recently I felt an urge for a GPU that allows training of modestly sized and inference of pretty big models while still staying on a reasonable budget. I have a Tesla P40 and a You may simply copy the markdown of your reddit post, and create a post in the appropriate category on the forums. Tesla P40 for SD? Discussion The (un)official home of #teampixel and the #madebygoogle lineup on Reddit. (Code 10) Insufficient system resources exist to complete the API . New Note: Reddit is dying due to terrible leadership from CEO /u/spez. View community ranking In the Top 1% of largest communities on Reddit. There is the P40 with all it's quirks but also Instinct accelerators or similar. 5 times faster than ExllamaV2. So a 4090 fully loaded doing nothing sits at 12 Watts, and unloaded but idle = 12W. It's also shit for samplers and when it doesn't re-process the prompt you can get identical re-rolls. This is a misconception. I even think I could run Falcon 180B on this, with one card worth of offload to my 7950x. Valheim; Genshin Impact; Minecraft; Tesla p40 for rendering on mini pc . Adding a P40 to my system Ideally, I'd like to run 70b models at good speeds. Many thanks, u/Nu2Denim. I am looking at upgrading to either the Tesla P40 or the Tesla P100. For example, if I get 120FPS in a game with Tesla P40, then I get something like 70FPS is RTX T10-8. Or check it out in the app stores Home; Popular; TOPICS. Nvidia tesla P40 vGpu KVM Centos Bluescreen Nested Virtualization . Question - Help Hello is the p40 gpu decent for ai image geneation its has 24gb vram is about 250$ used /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 DDA / GPU Passthrough flaky for Tesla P40, but works perfectly for consumer 3060 I've been attempting to create a Windows 11 VM for testing AI tools. If you want more than one P40 though you should probably look at better CPUs for the passthrough. Had issues with windows detecting the GPU but could never get anything to run so I went to proxmox since it would work better for my usage. In the past I've been using GPTQ (Exllama) on my main system with the The Tesla P40 is much faster at GGUF than the P100 at GGUF. Old. If they could get ExLlama optimized for the P40 and get even 1/3 of the speeds they're getting out of the newer hardware, I'd go the P40 route without a TLDR: trying to determine if six P4 vs two P40 is better for 2U form factor. 4 and the minimum version of CUDA for Torch 2. For multi-gpu models llama. 44 desktop installer, which Exllama is for GPTQ files, it replaces AutoGPTQ or GPTQ-for-LLaMa and runs on your graphics card using VRAM. The Upgrade: Leveled up to 128GB RAM and two Tesla P40's. I still oom around 38000 ctx on qwen2 72B when I dedicate 1 p40 to the cache with split mode 2 and tensor splitting the layers to 2 other p40's. I've ran LLaMA 2 on 64GB RAM and a GTX 1050 Ti. Training and fine-tuning tasks would be a different story, P40 is too old for some of the fancy features, some toolkits and frameworks don't support it at all, and those that might run on it, will likely run significantly slower on P40 with only f32 math, than on other cards with good f16 performance or lots of tensor cores. GPU: MSI 4090, Tesla P40 Share Add a Comment. The Pascal series (P100, P40, P10 ect) is the GTX 10XX series GPUs. Motherboard: Asus Prime x570 Pro Processor: Ryzen 3900x System: Proxmox Virtual Environment Virtual Machine: Running LLMs Server: Ubuntu Software: Oobabooga's text-generation-webui 📊 Performance Metrics by Model Size: 13B GGUF Model: Tokens per Second: Around 20 24GB 3090/4090 + 16GB Tesla P100 = 70B (almost)? So, P40s have already been discussed, Also I have seen one report that P100 performance is acceptable with ExLlama (unlike P40), though mixing cards from different generations can be sketchy. I am no expert, but these are the only two available cables I see in this mess near the power distributer. 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. 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. One other speed thing is that sometimes context loading takes a bit for the P40 on llama. Get the Reddit app Scan this 192 Gb DDR-3 RAM) running Ubuntu 22. Or check it out in the app stores Passing through a Tesla p40 to a vm. 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. Possibly because it supports int8 and that is somehow used on it using its higher CUDA 6. Or check it out in the app stores Or LoneStriker for exl2 quants for exllama v2. With the update of the Automatic WebUi to Torch 2. Hello all, I'm interested in buying a Nvidia Tesla P40 24GB. And GGUF Q4/Q5 makes it quite incoherent. It's a Tesla P4, not quadro so it's got roughly the performance of a 1080 which should be more than enough for streaming Rimworld or Timberborn to my laptop, mostly I just want to experiment with game streaming. My takeaway was, P40 and llama. Controversial. I'm not sure about exact example for equivalent but I can tell some FPS examples. HOW in the world is the Tesla P40 faster? What happened to llama. What CPU you have? Because you will probably be offloading layers to the CPU. I've tried it on a GTX1070 before and it took about 2min to generate a 1024x1024 with the default 30 steps. Regardless, it still looks like it may be viable, eventually. Hello, Can anyone of you spot what powercable i need for a Tesla P40 and my ML350p Gen8? I found some 10pins to 8pins, but for a ML380p Gen9. More info: I've just discovered that (exllama's) Q6 cache seems to improve Yi 200K's long context performance over Q4. 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. Q&A. Nvidia drivers are version 510. P6000 has higher memory bandwidth and active cooling (P40 has passive cooling). With exllama you can go faster, Its been a month, but get a tesla p40, its 24gb vram for 200 bucks, but don't sell your gpu. Anyone here have any 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). Reply reply Home; Popular; TOPICS. The P40 was designed by Nvidia for data centers to provide inference, and is a different beast than the P100. Coolers for Tesla P40 cards Discussion Are there any GTX or Quadro cards with coolers i can transplant onto the Tesla P40 with no or minimal modification, I'm wondering if Maxwell coolers like the 980TI would work if i cut a hole for the power connector. Got myself an old Tesla P40 Datacenter-GPU (GP102 like GTX1080-silicon but Trying LLM Locally with Tesla P40 Question | Help 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 Since a new system isn't in the cards for a bit, I'm contemplating a 24GB Tesla P40 card as a temporary solution. 1MH at 81W on ETH 3. cpp that made it much faster running on an Nvidia Tesla P40? View community ranking In the Top 5% of largest communities on Reddit. Ok, maybe it's the fact I'm trying llama 1 30b. I am a bot, and this action was performed automatically. So Exllama performance is terrible. 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. The journey was marked by experimentation, challenges, and ultimately, a successful DIY transformation. No promoting or discussing the bypassing of Tesla safety features. I would love to run a bigger context size without sacrificing the split mode = 2 performance boost. For $150 I can't remember the exact reason, but something about P100 was bad/unusable for llama. I did a quick test with 1 active P40 running dolphin-2. Search on EBay for Tesla p40 cards, they sell for about €200 used. cpp the video card is only (I tried Transformers, AutoGPTQ, all ExLlama loaders), the performance of 13B models even in quad bit format is terrible, and judging by power consumption, more than a third Can I run the Tesla P40 off the Quadro drivers and it should all work together? New to the GPU Computing game, sorry for my noob question (searching didnt help much) Share Add a Comment The new NVIDIA Tesla P100, powered by the GP100 GPU, can perform FP16 arithmetic at twice the throughput of FP32. For immediate help and problem Exllama loaders do not work due to dependency on FP16 instructions. Or check it out in the Using a Tesla P40 I noticed that when using llama. I know I'm a little late but thought I'd add my input since I've done this mod on my Telsa P40. Llama 2 has 4k context, but can we achieve that with AutoGPTQ? I'm probably going to give up on my P40 unless a solution for context is found. I wonder what speeds someone would get with something like a 3090 + p40 setup. Members Online. You should NVIDIA Tesla P40 24gb Xilence 800w PSU I installed Ubuntu in UEFI mode. KoboldCPP uses GGML files, it runs on your CPU using RAM -- much slower, but getting enough RAM is much cheaper than getting enough VRAM to hold big models. I'm considering Quadro P6000 and Tesla P40 to use for machine learning. Open comment sort options. xx. Have As the title states I’m working on passing through a Tesla p40 in one of my Nutanix AHV hosts running on a Dell r740xd w/ gpu enablement kit. Get the Reddit app Scan this QR code to download the app now. Or check it out in the app stores Decrease cold-start speed on inference (llama. But now I have a Tesla P40. Tesla P40 . 2x TESLA P40s would cost $375, and if you want faster inference, then get 2x RTX 3090s for around $1199. OP's tool is really only useful for older nvidia cards like the P40 where when a model is loaded into VRAM, the P40 always stays at "P0", the high power state that consumes 50-70W even when it's not actually in use (as opposed to "P8"/idle state where only 10W of power is used). After playing with both a p40, and a p41, my p41 was noticeably faster. Best. offloaded 29/33 layers to GPU 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. Help So, in unRAID, does the P40 show up in either Tools-> System Devices or Tools-> System Drivers? If so, View community ranking In the Top 5% of largest communities on Reddit. on model "TheBloke/Llama-2-13B-chat-GGUF**" "llama-2-13b-chat. 4 host machine to pass to some LXCs. the water blocks are all set up for the power plug out the a. Cooling is okay, but definitely not ideal, as the card stretches above the CPU heatsinks. It's primary utility is as a Plex/jellyfin transcoder and it can apparently handle 8 simultaneous 4K transcodes The Tesla M40 is currently working in the HP z820. Have cabled the Tesla P40 in with a CPU power connector (from an EVGA 750W PSU) but it won't boot Reddit is dying due to terrible leadership from CEO /u/spez. Will the SpeedyBee F405 V4 stack fit in the iFlight Nazgul Evoque 5" Freestyle Frame? 2. 20ghz 512GB Welcome to 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. Who knows. It might have been that it was CUDA 6. The Tesla M40 and M60 are both based on Maxwell, but the Tesla P40 is based on Pascal. No issues so far. All the cool stuff for image gen really needs a Running solely on the P40 seems a wee bit slower, but that could also just be because it's not in a full 16x PCIe slot. The enclosure comes with 2x 8 GPU power connectors and the P40 only uses one. cpp with mixtral in my experience, i. Hi there im thinking of buying a Tesla p40 gpu for my homelab. I would probably split it between a couple windows VMs running video encoding and game streaming. I am trying to figure out how to power a new (to me) Tesla P40 in this rig CSE-846 chassis and X9DR3 but I don’t know what GPU cable I would require. Everything else is on 4090 under Exllama. cpp partial offloading. exlla 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. 4bpw model at Q6 seems more coherent than 4bpw at Q4. Mind that it uses an older architecture and not everything might work of require fiddling. What you can do is split the model into two parts. You can see some performance listed here. My PSU only has one EPS connector but the +12V rail is rated for 650W. . Sort by: Best. Get support, learn new information, and hang out in the subreddit dedicated to Pixel, Nest, Chromecast, the Assistant, and a few more things from Google. Trouble getting Tesla P40 working in Windows Server 2016. But either way, great to hear. Gaming. llama. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators The main thing to know about the P40 is that its FP16 performance suuuucks, even compared to similar boards like the P100. I plan to use it for AI Training/Modeling (I'm completely new when it comes to AI and View community ranking In the Top 1% of largest communities on Reddit [W][EU] Nvidia Tesla P40 24GB . Also I wouldn't recc the mi25 cards to anyone, they don't support newer versions of rocm, so things like exllama wont run on it /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app Get the Reddit app Scan this QR code to download the app now. But what does the "-12" part mean? My current VM has a 12 GB VRAM so it looks like this vGPU is being shared between me and another user. As openai API gets pretty expensive with all the inference tricks needed, I'm looking for a good local alternative for most of inference, saving gpt4 just for polishing final results. I fear I have made a mistake in buying my components as I realise I have bought a Nvidia Tesla P40 and a Ryzen 3 4100 (which doesn't have integrated graphics) and the Tesla does not output display. Still, the only better used option than P40 is the 3090 and it's quite a step up in price. P40s can't use these. The P40 will be slightly faster, but you'd be still looking at seconds per iteration speeds. It sounds like a good Maybe 6 with full context. Exllama: 9+ t/s, ExllamaV2 1. Hi all I am fairly new to the PC building stage and I thought I'd try my hand with making my own system to run a local LLM. After that the Emergency Mode activates: BAR1: assigned to efifb but device is disabled and NVRM spams my console with: Hello, I have a HP DL380 G9 and a Tesla P40 GPU. jcjohnss • Looks like the P40 is basically the same as the Pascal Titan X; both are based on the GP102 GPU, so it won't have the double-speed FP16 like The infamous Madhouse of Reddit! 🤯 This place celebrates the Batman Arkham series as well as the subreddit's infamous jokes and insanity that have taken the internet by storm! Nvidia Tesla P40 (24GB Ultra settings 60fps) Screenshot So, as you probably all know, geforce now's server machines use a Tesla P40, a very powerful card that sadly is not optimazed for gaming, in the best case games use around 50% of its power, leaving us with quite low framerates compared to even a gtx 1060. 12 votes, 21 comments. Or check it out in the app stores Cooling solutions for a Tesla P40 low noise? Help There’s an older Craft Computing video on the subject of cooling the Tesla cards. Got a couple of P40 24gb in my possession and wanting to set them up to do inferencing for 70b models. cpp that made it much faster running on an Nvidia Tesla P40? Nvidia Tesla P40 24GB Nvidia RTX 3060 6GB 10 gig rj45 nic 10 gig sfp+ nic USB 3. gguf"** The performance degrade as soon as the GPU overheat up to 6 tokens/sec, and temperature increase up to 95C. And P40 has no merit, comparing with P6000. 1x Nvidia Tesla P40, Intel Xeon E-2174G (similar to 7700K), 64GB DDR4 2666MHz, IN A VM with 24GB allocated to it. There might be something like that you can do for loaders that are Reportedly they can be used for gaming, but it requires jumping some hoops with the registry and drivers, assuming nVidia didn't remove the ability to do that, rigging your own fans since Teslas don't have any, and the performance will be reduced compared to an equivalent Geforce since you're not using optimizations for gaming and piping the output through PCIe to your iGPU. I'm seeking some expert advice on hardware compatibility. Question Has anybody tried an M40, and if so, what are the speeds, especially compared to the P40? Same vram for half the price sounds like a great bargain, but it would be great if anybody here /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt Original Post on github (for Tesla P40): JingShing/How-to-use-tesla-p40: A manual for helping using tesla p40 gpu (github. My hardware specs: Dell R930 (D8KQRD2) 4x Xeon 8890v4 24-core at 2. It seems to have gotten easier to manage larger models through Ollama, FastChat, ExUI, EricLLm, exllamav2 supported projects. 0 where P40 is 6. So I think P6000 will be a right choice. Not sure of the difference other than a couple more cuda cores I'll pass :) I have 3090 + 3x P40, and like it quite well. Reset laptop BIOS I'm seeking some expert advice on hardware compatibility. I'm running into some issues while trying to install the drivers for my NVIDIA Tesla P40 on my Proxmox 8. I use a Tesla m40 (older slower, 24 GB vram too) for Rendering and ai models. As it stands, with a P40, I can't get higher context GGML models to work. jgkzmdo qutpiw cus rmosu hbiat awgkxp mxxfsv iouskx ygbssl vfqfma