Nvidia cuda jobs

I urgently need an expert, ideally possessing extensive knowledge in CUDA, cuDNN, and Anaconda, to help configure my Windows system. the GPU cuda was working , and wen I tired to use ViT (Vision Transformer) and I installed I got some error and does not work any more Key requirements include: - Setting up CUDA and cuDNN on my Windows system using Anaconda. The specific Anaconda version being used is yet to be determined. - Comprehending the exact statuses of the graphics card installed in my system. - Demonstrating how to utilize the GPU in Jupyter Notebook with Vision Transformer (ViT). The essence of this project is to gain a grasp on how to leverage GPU resources efficiently and then apply those skills into the Vision Transformer. The task requires a high le...

... This promises to be an adventure into the world of blockchain technology, distributed consensuses, and GPU programming. Precisely, I need somebody with experience in the following: - Understanding blockchain basics. No prior experience with blockchain is necessary, but it would be advantageous. - Implementing Proof of Work as the preferred consensus algorithm in our project. - Being adept at CUDA GPU programming techniques, we will mainly focus on memory optimizations, asynchronous operations, and multi-threading tasks. For this project, proficiency in GPU programming and a deep understanding of distributed system principles will be crucial. Your theoretical knowledge in blockchain technology is beneficial. If you are willing to embark on this ambitious project, your expertis...

Software Features ● NVIDIA Isaac Sim experience preferred ● Weld Seam Recognition：accurate seam detection ● Move Path Generation：generate precise welding robot movement ● 3D Simulation：Create realistic 3D environment for visualizing welding process File Processing ● ​DXF File Reading: function to read and extract data from DXF files ● ​Data Parsing: Extract welding specifications from DXF files ● ​Compatibility: Ensure compatibility with various welding piece DXF file formats. ● Optimization: Optimize file processing for speed and efficiency ● Robot Integration: ● Robot Simulation: virtual welding robot for 3D simulation ● Compatibility: Ensure compatibility with different welding robot models ● Calibration: Calibration tools to match simulation with real-world...

I'm in need of someone to convert my existing Pytorch DDP code to Huggingface Accelerate framework. Key Project Details: - The primary goal of this migration is to move from existing Pytorch DDP, to Huggingface Accelerate architecture. - The code should be able to run on CPU-only mode, on a single GPU machine, and also on multiple-GPU machines. The GPU's are all Nvidia. - The code will need to be tested on my machines (CPU-only machine; machine with single-GPU; and machine with multiple GPUs) and execute smoothly without error using my datasets. If the code does not execute out of the box, you will need to log in to my computer to set it up to ensure smooth running. Pytorch environment under PyCharm/Ubuntu is already set up. These two links should give you an ide...

I'm in need of an expert who can create an efficient CUDA kernel implementation of a uniform histogram having 256 bins. The extreme edges of your histogram will be defined by the minimum and maximum values of the sequence of numbers being processed . Therefore two kernels need to be implemented in order to obtain those values Key Requirements: - You must provide REGULAR updates to me where you post screenshots and update me. - There must be clear and understandable comments in the code throughout the entire code. - Any comments written in the code must refer to technical concepts regarding Parallel Computing - You will have to write a small report where you discuss the details of the project and Parallel Computing concepts and technicals. You must also review a few pages of ...

I am looking for an experienced developer who can use Cython to wrap my existing CUDA code. This is a relatively simple code that is currently used for data analysis. Task: This is done in Linux (ubuntu). I had a old cython code that used to be able to connect with the CUDA code, i think the newer version of CMake changes had made it impossible. I have attached a small reduction of the code, it is pretty much just calling a CUDA kernel from the Python using Cython. The CMake builds, but when the Cython is imported the symbol cannot be found. (to build you need to define an environment variable CUDAHOME points to your nvcc) Steps: 0 (optional) you can Make the cuda code inside to check if it works (1) run (with CUDAHOME env var) (2) run (fail at this point a...

I urgently need an expert to install CUDA on my Ubuntu Linux system for Tensorflow and Pytorch

I urgently need an expert to install CUDA on my Ubuntu Linux system for Tensorflow and Pytorch

The project to build waht's billed as the world's fastest artifical intelligence supercomputer Just wrapped in it's already acing one of its first assignments: the super-speedy perlmutter is helping create 3D map of the visible univers all 11 billion light- years of it -by processing data from the dark energy spectroscopic instrument , a kind of cosmic ca...assignments: the super-speedy perlmutter is helping create 3D map of the visible univers all 11 billion light- years of it -by processing data from the dark energy spectroscopic instrument , a kind of cosmic camera that can capture as many as 5,000 galaxies in a single us$146 million project was a joint endeavor between the U.S. Notional energy Resarche Scientific computer centre , Nvidia and Hewlett packard Entr...

skilled ffmpeg expert to work on a live transcoding project. - CMS should be built in laravel. it should use nginx for hls streaming with user pass and ip restriction protection. it should have all encode decode options for h264 and h265 with cuda / nvenc encode /decode i have system wit 4x rtx quadro 4000 so the system should have also option to select from wich gpu wich channels are going to transcode. it should have realtime datalogics like incoming outgoing network metrics realtime each gpu utilization of encoder/decoder graphic based utilization of ram and cpu. page with show all live streams/offline streams with options restart stop delete edit buttons streams should show with realtime datas like uptime speed codec bitrate connected users on stream count. user managem...

The project to build waht's billed as the world's fastest artifical intelligence supercomputer Just wrapped in it's already acing one of its first assignments: the super-speedy perlmutter is helping create 3D map of the visible univers all 11 billion light- years of it -by processing data from the dark energy spectroscopic instrument , a kind of cosmic ca...assignments: the super-speedy perlmutter is helping create 3D map of the visible univers all 11 billion light- years of it -by processing data from the dark energy spectroscopic instrument , a kind of cosmic camera that can capture as many as 5,000 galaxies in a single us$146 million project was a joint endeavor between the U.S. Notional energy Resarche Scientific computer centre , Nvidia and Hewlett packard Entr...

Hi I will generate the CUDA code for you Regards

1 Overview: This project de-identifies personal information in the video that detects a person on an Edge Device connected to CCTV and protects personal information by changing the person's face or face + top and bottom. Here's what we need. 1.1 Edge Device must be sent video from the CCTV Stream. 1.2 A person must be detected in the input video. 1.3 The following information must be extracted from the detected person and made into a metadata (JSON) file. - Facial Embedding Information - Extract information about a person's attributes (hair length, hair color, top color, bottom color, top shape, bottom shape, shoe shape, color, etc.) 1.4 Change to a new face, a new outfit. 1.5 Real-time converted images and generated metadata should be delivered to the storage ...

Seeking an expert in CUDA development with proficiency in C++, specializing in GPU programming. This project involves the following: • GPU programming in C++ • Strategies to introduce parallel algorithms in a GPU-friendly manner The ideal candidate will showcase the ability to optimize code to run various algorithms efficiently and in parallel using CUDA. Strong background in GPU-specific matrix operations and image processing will be a bonus but isn't mandatory. This project revolves around perfecting performance and reliability, and is an excellent opportunity for those adept in the mentioned domains.

I'm looking for a skilled professional who can set up CUDA and cuDNN on my Windows system with Anaconda, along with a demonstration of how to use the GPU in Jupyter Notebook. Key Requirements: - Installation of the latest versions of CUDA and cuDNN - Configuration within the Anaconda environment - Successful demonstration of GPU utilization in Jupyter Notebook Ideal Skills: - Proficiency in working with Windows operating system - Strong experience with Anaconda and Jupyter Notebook - Prior knowledge of CUDA and cuDNN installations - Ability to demonstrate GPU utilization in Python Note: Your bid should reflect both the installation setup and the demonstration process. Please provide an estimated timeline for the completion of this project.

I am seeking an experienced professional who can assist me in installing Nvidia Maxine AI software on my PC. The objective is to leverage the capabilities of Nvidia Maxine for AI-based features as it is shown on the YouTube video that I am providing a link to in this post. in the shared video, notice that a person installs the software on his computer to use its AI feature. If you have the required expertise and are confident in your ability to install Nvidia Maxine AI software, please submit your proposal. Include details about your relevant experience, certifications, and any previous installations of Nvidia Maxine and also tell me how are you able to do the installation. Can you remotely connect to my computer and do the installation? The milestone will be ...

Objective: Develop a robust vehicle counting application optimized for the NVIDIA Jetson Nano. The application should accurately count cars passing through multiple cameras using RTSP live streams. Key Requirements: Modular Design: The software should have a configurable region of interest (ROI). This will allow customization of the tracking area for different camera setups. The system should support settings for either two-way or single direction vehicle detection, selectable per camera. Multi-Camera Support: The application must handle live feeds from at least three cameras simultaneously without frame skipping. Ensure seamless capturing, detecting, and tracking across all cameras, maintaining high accuracy and performance. Error Handling: Implement robust error handling to ensu...

I'm looking for a skilled Python developer with experience in GPU programming using CUDA to assist in a project that involves image processing and data analysis. - I have a python code and I need to modify it to work with GPU the code takes an image changes its pixels one by one and each pixel change calculates new image hashes if images hash satisfies some specs it save image and code ends. this is whole python code is doing now. it is a 40 lines code. very simple for someone who knows how to code on 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....