Nvidia cuda trabalhos
Preciso de ajuda para poder trabalhar com meu programa, tenho placa de video geforce940mx configurações compativeis, e o programa trava muito, baixei um programa para fazer checkup dos requisitos e la diz que estou usando uma placa intel e que poderia melhorar usando a nvidea, mas faço a alteração nas definições da nvidia, e faco o checkup novamente mas nao altera.
eu preciso instalar alguns programas no kali linux, baixar nvidia gpu driver 440.64 ou acima e cuda toolkit 9.0 ou acima, no kali e no windows baixar opencl runtime para intel core e saber sobre o intel xeon processors 16.1.1 ou acima baixar o zenmap no kali
Olá! Um pouco de como funciona o pro...no desenvolvimento atuamos na infraestrutura (somente para Porto Alegre e região metropolitana) sempre passando o diagnóstico o mais rápido e claro possível. Junto temos uma loja virtual onde os clientes podem comprar direto por lá ou cotar conosco quando eles desejarem. Buscamos diversas parcerias e hoje somos por exemplo parceiros Microsoft, Intel, revenda autorizada Positivo, Lenovo, Nvidia entre outras. Sempre que possível oferecemos cursos gratuitos que nos são dados pelos nossos parceiros. Acreditamos muito que o contato claro e direto com o cliente sempre traz benefícios dessa forma tratamos nossos colaboradores onde todos são as nossas bases. Contamo...
Paralelizar um código C que é necessário duas entradas, sendo cnt com valores a ser testados [32,64,128,256] e a outra entrada npart com valores [1024,2048,4096,8192,16384] O código é relativamente simples único problema é que não tenho experiência com CUDA.
Hi Trong Hieu L. This is building on top of the pytorch DDP code you wrote for me about 6 - 12 months ago. I would like you to convert it to huggingface Accelerate framework. Test on vinbigdata and CXR8 dataset on 8 Nvidia GPUs. Much of the code should be similar to before. Only need to migrate to Accelerate. Are you happy to do it?
...headaches. To set the scene, the videos I'm dealing with are low resolution and have short durations. I've customized the ffmpeg settings for the conversion process but it seems like my attempts are doing more harm than good. Here's where you come in. I need an expert to handle the optimization of the ffmpeg settings for the GPU. I am not looking for a quick fix and not necessarily to address the CUDA error right away, but primarily to set up a robust and efficient conversion system that will prevent such issues in the future. Ideal candidates should have: - Extensive experience with ffmpeg - Knowledge of GPU settings - Experience in dealing with memory issues - Patience to optimize until the best setting is found - Experience with video websites or adult co...
I need an expert in ffmpeg & CUDA for fast video encoding. Optimized encoding commands need to generate MP4 files that are similar in size to downloaded videos, but the encoding process must be expedited via GPU usage. Key Requirements: * The result should be in MP4 format. * Video quality and encoding speed are crucial. * The target video resolution is 480p. Ideal Skills: * Extensive knowledge of ffmpeg and CUDA. * Experience in video encoding, particularly fast encoding. * Detailed understanding of optimizing for video quality and speed under specific resolution constraints(i.e, 480p in this case).
...Develop and run realistic simulations of robotic systems using NVIDIA Isaac Sim. • Design and configure complex simulation environments, including physics models, sensors, and obstacles. • Create motion plans and trajectories for robots using advanced planning capabilities. • Analyze simulation results and provide insights into robotic performance and limitations. • Collaborate with engineers and researchers to define simulation requirements and ensure alignment with project goals. • Stay up-to-date with the latest advancements in simulation technology and best practices. *************** Qualifications: • Required: Degree in Robotics, Engineering, or related field. (Master's degree or Ph.D major plus) • Expert-level proficiency in NVIDI...
MESSAGE ME IF INTERESTED. Objective: This is not a project. It's one feature for: , the training should: 1. The loss to reduce normally like it already does when training with DDP (it should NOT diverge to infinity or be unstable) 2. All evaluation loss, training loss etc get printed (like it already does with DDP) 3. save checkpoint works and restore checkpoint (like it already does with DDP in ) 4. The VRAM usage of the graphics cards should be less than with DDP (nvidia-smi) to check (this should happen if FSDP is implemented correctly) 5. Should not be way slower than DDP for each training step (essentially, when you run python , the output should look almost the same as it does when using DDP)
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I'm in need of a freelancer who is proficient in converting MATLAB Signal Processing programs into CUDA using GPU coder. Not just any freelancer, but one who has hands on experience using a Jetson Nano, with the CUDA toolkit already installed. The complexity level of the MATLAB program to be converted is intermediate, so it's essential you are experienced yet up for a bit of a challenge with your DSP skills. Key Skills: - Proficiency in MATLAB and CUDA programming language - Familiarity with the NVIDIA Jetson Nano - Experience with intermediate Signal Processing - Hands-on expertise in GPU coder
I'm looking for an expert who can help in installing CUDA, cuDNN, and spconv in order to ensure my image recognition model runs smoothly. The model should be installed on a Windows WSL machine, which I will give access to through AnyDesk. Everything is already installed on it, but for some reason it doesn't work. I need someone to go through all the things again and check the versions to see if they are compatible. This is the link to the model : If you can do it and have experience in doing that, contact me!
As an individual working in the signal processing industry, I'm currently running a project that needs some expert technology adaptability. The project involves: - Converting an existing Matlab code into CUDA. - Ensuring the code correctly executes Fourier transforms when run on a Jetson Nano platform. The ideal candidate for this assignment would have: - An extensive working knowledge of Matlab and CUDA. - Strong experience in handling signal processing tasks, especially Fourier transforms. - Proven experience in dealing with the Jetson Nano platform. - Excellent debugging skills to ensure the proper functioning of the transferred code. If you possess these skills and experience, feel free to submit a bid. Looking forward to working with a proficient and dedicated f...
I'm currently dealing with an issue on a piece of code in OpenGL GLSL and C++. The code operates as designed when run on an integrated GPU but unfortunately, falls with a dedicated GeForce NVIDIA GPU (see pictures). The code deals with compute shaders and parallel computing of a combinatorial problem. The OpenGL and GLSL versions in use are 4.3. I'm sending pictures how it gives me the proper output on integrated and the error shown for dedicated NVIDIA. The solver must have a dedicated GeForce GPU and should first present that the code also doesn''t work for him/her on the dedicated GPU !! The key functionalities in use are Buffer Objects and Compute Shaders. As such, I'm in search of a skilled developer who: - Has in-depth expertise in OpenGL 4...
...professional comfortable with Linux system administration. A very important part of this project is the Installation of FFMPEG with CUDA support on an Almalinux 8 server, implemented on a 1080ti card. Key Requirements: - You must be comfortable with Linux server administration, specifically AlmaLinux 8. - You must be able to install the latest version of FFMPEG. - CUDA support on the FFMPEG must be duly enabled. - The main goal after installation is to achieve top-notch video encoding performance. - Professional experience or technical understanding of video encoding software and processes is a plus. - You must have prior experience or know-how dealing with Nvidia graphics cards, particularly the 1080ti model. I have root/administrator access to the server and ...
Project description: Solution needed for data ...collection takes place preferably on a rolling chart with "x" axes being time and "y" axis being the value read. The distinct points should be connected on the graph with a straight line. The time delay between measurements should be as little as practically possible. Available hardware for the task: - "node mcu ESP32s3", or "Panlee WT32 SC-01 plus" the latter has built in RS485. - Nvidia jetson nano - Raspberry Pi - Ordinary PC with a USB to RS485 converter. Software requirements: - the project can be completed on any platform as long as it satisfies the requirements set in the description. - suggested languages to use are Python with visualizat...
We require an experienced programmer to answer these questions using Google colab and then a meeting through Google meet, we are programmers and we would make the code, it is just advice and audit of a chat bot that we developed with AI but we are having some problems. Hi nice to meet you. I would like to know if you have experience in: 1) developing agents in puthon without using la...we are having some problems. Hi nice to meet you. I would like to know if you have experience in: 1) developing agents in puthon without using langchain, 2) what developments you have done with llms and huggingface 3) if you have done any development to generate business intelligence by consulting a db and using a huggingface model 4) Do you have experience optimizing Google Colab servers with Nvidia...
...capability. Displaying detected drones as rectangles with descriptions of the drone type or "undefined". Ability to zoom in on a specific drone and subsequently track it. Option to set a perimeter for triggering alarms. Activation of alarms in case a drone is detected within the perimeter. Monitoring the flight of drones and issuing warnings. Hardware Specifications: Computational unit: Nvidia Jetson Nano. Input from PTZ camera with a resolution of 4MP and an infrared module. Option for measuring the distance to the drone using a laser. Acceptance Criteria: The software should be capable of detecting drones with a minimum size of 30 cm. The system should be able to simultaneously detect and display multiple drones. Recognition of drone types from a dron...
I require a proficient CUDA programmer to rewrite an existing Python program. The primary purpose of the software is to perform data analysis. Key Details: * The type of analysis hasn't been disclosed but expect handling diverse data sources. * Time is of the essence, I need the rewritten software ready ASAP. Ideal proficiency: * Deep understanding of both Python and CUDA programming environments. * Previous experience handling data analysis software will be advantageous. * The ability to deliver under tight deadlines while maintaining the quality of work is crucial.
I have developed a computer vision code for 3 cameras to detect a specified object using a mask that I setup. The code is working but it is very slow. I also tried with Nvidia CUDA, but it did not give the expected results, I want someone to check the code and make necessary optimizations to make it as fast as possible.
I'm searching for an expert to design a GPU-accelerated server tailored for running YoloV5 AI detection software for real-time object detection. Specifications include: - Server to be exclusively powered by Nvidia. - Server should be configured to handle supplementary cloud-based services concurrently, ensuring smooth operation. Ideal Profile: - Experience in building GPU-accelerated servers - Expert in Nvidia processes - Familiarity with YoloV5 AI detection software - Understanding of cloud-based services integration. The end goal is to ensure accurate, real-time object detection while maintaining efficient operation of concurrent cloud services.
I am currently seeking an experienced developer c...existing CPU mining source code, written in C++, into a GPU miner optimized for NVIDIA's GeForce series. The source code is written in C++, and the libraries are in Java. Ideal Skills and Experience: Proficiency in C++. Experience in GPU programming, primarily with NVIDIA GPUs. Familiarity with the GeForce series and their architecture. Previous work on similar projects is highly desirable. Must understand data mining processes. Knowledge of Java libraries. Responsibilities: Modify the existing C++ source code to work with NVIDIA GeForce GPUs. Ensure the GPU miner is fully optimized to achieve the best performance from the GeForce series. Thoroughly test the solution across different GeForce models to ensure compatib...
I need a highly proficient CUDA expert who has deep experience with both C and C++. - The precise field of application for this project was left undefined; it may involve fields as diverse as image processing, data analysis or machine learning. - Given the lack of specification, adaptability and a broad understanding of CUDA in various contexts is a must. - The project is urgent and I'm seeking someone who can start immediately to deliver results as soon as possible.
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I am seeking a seasoned CUDA developer to design a custom CUDA kernel for machine learning purposes. Specifically, a variant of flashattention. - Key Responsibilities: - Develop a CUDA-based kernel for deep learning. Ideal candidates should have experience in algorithmic development, with a deep understanding of Transformers and have previous exposure to CUDA programming. Candidates should be able to demonstrate a track record of success in similar roles.
...a webview Android TV application (Android 11.0 minimum). This will be a standalone application, built only for Android TVs and is very simple in nature. Key Features: - Function with Android TV OS (NOT phone or tablet) - webview fuction will link to - Be designed for Android TV (landscape layout and function with non-touch/remote controlled Android TV devices such as NVIDIA Shield TV) - Have a Tennis Channel Logo for the app tile. Skills and Experience: - Expert in Android Development - Experience with Android TV OS applications - Strong understanding of web browsers/webview application design - Experience in app design and user interface. The project will require both APK and source code (Java or Kotlin) upon completion. Need an individual who can ensure flawless
I'm seeking an experienced developer to create an Automatic License/Number Plate Recognition (ANPR) software that is compatible with the Linux operating system and works on Nvidia Jetson nano with OCR and EUROPE database of license plates. Mus have AI learning ability. Main Purpose: The primary function of the software is for traffic management purposes. We have automatic barriers on the parking lot and would like to have software that would have a database of whitelist or blacklist license plates that can or can't enter our premises. So software must have a backend for license plate management and system settings. It would be great if the software could read with whatever camera we choose. We also need an I/O port for opening and closing the barrier and a port for condit...
I'm looking to work with an expert in machine learning and computer vision to port YOLOv8 to Nvidia AGX Xavier for real-time object detection. Specifically, I require the detection of vehicles, pedestrians, and traffic lights to be enhanced. The successful candidate will have a solid understanding of deep learning algorithms and experience with Nvidia AGX Xavier, as well as a proven track record in real-time object detection. Ideal skills and experience for this job include: * Proficient in YOLO algorithms, specifically YOLOv8. * Proven experience with Nvidia AGX Xavier. * Strong background in Machine Learning and Computer Vision. * Practical knowledge of surveillance systems. * Experience or interest in enhanced detection capabilities, particularly in relati...
please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...
...outputs with meaningful application to the space program, with substantial compute resources provided by our commercial partners. The Data Manager will work closely with the Trillium team and the faculty and help locate, prepare, and process data and data stacks and / or any methods for generating synthetic data in advance and start ingesting data onto Google GCP and / or the DGX 100s provided by Nvidia. The more prepared the teams are with the right data sets, the more efficient they are at understanding the problem and opportunity. The data manager is responsible for managing our research program compute by developing, overseeing, organizing, storing, and analyzing project data and data systems. The data manager ensures that all of this is always done with the utmost securit...
I am looking for a proficient IT professional who is experienced in server and system virtualization. The main objective of our project is to set up a VMWare EsXI server virtualization, incorporating the Nvidia Tesla K40 GPU into our virtualization setup with the primary intention of running machine learning and AI applications. Hello, I bought myself a Dell T5810 workstation computer and added an Nvidia Tesla K40 graphics card/GPU as a second graphics card. It also has an ATI graphics card. I installed VmWare EsXI 6.5 on the computer. The purpose of this is to be able to use both Windows and Linux operating systems on the computer at the same time and to be able to use it with GPU support. When I check it from the list:
...surface, no additional branding, symbols, or visual augmentations are required. Please ensure you can meet these specific criteria before bidding. The successful candidate will be able to demonstrate similar projects from their portfolio. I have two NVIDIA Tesla P40 which are 100mmx40mm rectangular shape. They are spaced apart by 25mm, see photos. I need a shroud that pipes air from a 90mmx90mm fan and diverts to both GPU evenly. The shrouds need to have a divet for inserting the PSU connector on the end of the fan (see photos of existing and nvidia documentation for Tesla P40 hardware measurements. This is a unique opportunity for those looking to merge their design skills with their interest in PC gaming. Looking forward to your proposals....
I'm looking for an expert who can help me source for a customized water block fitting and cooling system, specifically tailored for an Nvidia A100 card. The card currently has an existing water block installed, branded 'TherMax'. See photos for details.
I have a simulation in Python/CuPy of electrons in a wire that I want to translate into Rust (or Vulkan, or OpenCL, or CUDA, or Julia or fix the Python so it uses far less memory, maybe calling PyCUDA) and make a major modification. The simulation calculates the coulumbic forces between all pairs of electrons every delta-t and then after that uses the force to calculate the new positions and velocities. It also outputs a graph showing the density of electrons at each slice of the wire at each delta-t. From this I can see how fast a signal is propagating down the wire in the simulation. I have tried to allow for the propagation delay between the electrons by using the velocity to estimate where the electron would really have been back in time and calculating the force from tha...
Hi Alex, This work includes the implementation of ROS2 navigation stack on Nvidia Jetbot Robot. Robot will be able to autonomously navigate through an indoor space using Lidar, Odometery and other sensors.
I'm looking for a skilled CUDA programmer to develop a specialized tool designed for finding Bitcoin mnemonics. This tool is targeted at users with a strong understanding of cryptocurrency security and recovery processes. **Key Requirements:** - Compatibility with Windows OS. - A command-line interface to ensure straightforward usability for those familiar with terminal commands. - Ability to read and process data from a text file where the necessary inputs for mnemonic recovery will be listed. **Ideal Skills and Experience:** - Proficiency in CUDA programming for leveraging GPU acceleration, which is crucial for speeding up the mnemonic recovery process. - Experience in developing command-line interface (CLI) tools, especially those involving complex data processing....
...specific focus on simplicity and speed, requiring a professional capable of handling the nuances of server management and Python applications. Ideal Skills and Experience: - Proficient in Python with a solid understanding of its ecosystems. - Experience with AWS, particularly EC2 instances. - Knowledge of Linux server management. - Familiarity with version control (Git) and deployment practices. - Cuda Project Requirements: - Deploy a Python Github repository onto a Linux server in AWS. - Ensure all necessary dependencies are installed and configured. - Verify the deployed application runs smoothly and efficiently. - Complete the project within the shortest possible timeframe. Additional Information: - The exact Python libraries and dependencies required may be specified at a ...
please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...
please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...
please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...
please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...
I require immediate assistance with my project, focused on configuring an X server to run within an NVIDIA container. Here, your deep knowledge in Linux, NVIDIA, and Docker technologies will be highly beneficial. Scope Includes: - Setup X server within NVIDIA container - Although the specific version was not defined, I trust your expertise to select a stable and efficient one that will achieve effective functionality. Ideal Skills: - Excellent command over Linux environment - Familiarity with NVIDIA technology - Docker proficiency Understanding of X server and its versions would also be beneficial. I need immediate commencement with prompt delivery due to the urgent time frame.
...seeking a skilled developer who can create a standalone function leveraging GPU acceleration via CUDA to generate 32-bit random numbers. This capability is crucial as a helper function in our ongoing projects. Here’s what I’m looking for: - **Primary Task**: Development of a C++ standalone function that generates a block of 32-bit random numbers using NVIDIA's CUDA technology. - **Application**: This function will serve as a helper component, potentially enhancing our processes in simulations, though its design should be versatile for various applications including data analysis and cryptography. - **Ideal Skills and Experience**: - Proficiency in C++ programming. - Solid experience with CUDA and GPU programming. - Understanding of random...
...into Nvidia VPI, ensuring compliance with specific partner API requirements. This project is crucial for enhancing our system's capabilities and adhering to partnerships standards. **Requirements:** - Experience with Nvidia VPI and its functionalities. - Proficient in handling 2D color image integration and manipulation. - Understanding of API compliance and requirements. - Ability to work efficiently to meet project deadlines. **Ideal Skills:** - Strong background in computer vision and image processing. - Expertise in programming languages compatible with Nvidia VPI (C/C++, Python). - Familiarity with API integration and compliance standards. - Problem-solving skills and attention to detail. **Project Goals:** - Successful integration of 2D co...
Hi, I have +7 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day
...1660 running debian 11. I need to get the the Nvidia drivers installed, toolkit and ffmpeg installed to use nvidia to process video encoding (and maybe some other things I just need ffmpeg to use the nvidia gpu to process videos)... the command I'm using is like this: ffmpeg -i $(if [ -n "$(lspci | grep -i nvidia)" ]; then echo "-c:v h264_nvenc -b:v 5M"; else echo "-c:v libx264 -crf 25"; fi) -movflags +faststart -threads 0 -r 25 -g 50 -trellis 0 -bf 8 -acodec aac -strict -2 -ar 44100 -ab 128k -vf "scale=848:480" -f mp4 I also run this command on some other servers that do not use the gpu, so the command has to be organized to work with either ffmpeg gpu or cpu. I require a skilled freelancer to in...
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...advancements of what AI has brought in the field of drug discovery. The purpose is to shed light on how AI has been instrumental in accelerating drug discovery, and the hurdles that the pioneers are overcoming. Footage Inventory: Key Opinion Leaders' Interview Michael Levitt 2013 Nobel Lauret in Chemistry Kaifu Lee Chairman of Sinovasion, Top 100 Leaders in AI Jensen Huang CEO of NVIDIA Numerous AI & Drug Discovery Industry Leaders Insilico Medicine's CEO Interview Dr. Alex Zhavoronkov Founder and Co-CEO Dr. Ren Feng Co-CEO and CSO Dr. Alex Aliper Co-Founder and President Numerous Internal Leaders AI Scientists Interview Drug Discovery Scientists Interview the building of Insilico's 6th generation rob...
...advancements of what AI has brought in the field of drug discovery. The purpose is to shed light on how AI has been instrumental in accelerating drug discovery, and the hurdles that the pioneers are overcoming. Footage Inventory: Key Opinion Leaders' Interview Michael Levitt 2013 Nobel Lauret in Chemistry Kaifu Lee Chairman of Sinovasion, Top 100 Leaders in AI Jensen Huang CEO of NVIDIA Numerous AI & Drug Discovery Industry Leaders Insilico Medicine's CEO Interview Dr. Alex Zhavoronkov Founder and Co-CEO Dr. Ren Feng Co-CEO and CSO Dr. Alex Aliper Co-Founder and President Numerous Internal Leaders AI Scientists Interview Drug Discovery Scientists Interview the building of Insilico's 6th generation rob...
