Install WAN Video 2.7 DGX

@AZTURK1

Hi there, I understand you need WAN Video 2.7 installed and GPU-accelerated on an NVIDIA DGX Spark (Ubuntu). I have deep DGX/CUDA experience and will compile dependencies, resolve driver/codec conflicts, and ensure the stack runs under GPU acceleration with minimal risk. - Install and configure NVIDIA drivers, CUDA toolkit and verify GPU visibility (nvidia-smi, device nodes). - Build and install WAN Video 2.7 from source with required libraries, Java/C/C++ toolchains and codecs; enable GPU-accelerated pipelines. - Validate startup by launching the app and streaming a test feed; capture logs and fix runtime errors. - Deliver a concise README with installed packages, build steps, verification commands, and a rollback note to avoid changing unrelated system components. Skills: ✅ CUDA ✅ Ubuntu ✅ Video Streaming ✅ Docker/production deployment (if needed) ✅ GPU driver and codec conflict troubleshooting ✅ Compilation from source (gcc/clang, make, cmake) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start and will work over AnyDesk while you provide root access. Do you have a snapshot or current driver/CUDA versions and a preferred CUDA toolkit target (e.g. 11.8 vs 12.x) to match other workloads on the DGX? Thanks,

@linuxpro2008

i will help you install your card now , Worked with all kind of servers and all panels since 2007 And currently working as linux system administrator If you need to start as soon as possible contact me , please contact me now, looking forward to work with you Best regards

@durgesh8527

With a decade of expertise in full stack development comprising cloud computing, server administration, and proficiency in various languages including C programming, I believe I am an excellent fit for your project. Your requirement for the installation of the WAN Video 2.7 DGX is right up my alley as I have vast experience with CUDA-centric environments like Ubuntu and Nvidia DGX. Additionally, my Nvidia certification in Advanced CUDA Programming enables me to work comfortably with GPU acceleration as well as tackle any driver or codec conflicts that may arise. My commitment to clean and scalable coding practices aligns perfectly with your need for a fully functioning open-source video stack that streams seamlessly. To ensure replicability, I will also furnish you with a comprehensive README document detailing all the requisite system dependencies, libraries used, and supporting packages apart from those already part of your system. Being comfortable with AnyDesk renders distance no obstacle at all. You can trust my fast troubleshooting skills along with great respect for systems and components outside the required scope of this job. My sole objective will be to ensure a smooth project journey while ensuring high quality results. Let’s collaborate now to get your NVIDIA DGX Spark workstation all set up and ready to roll!

@najibe1

Hello, I’m an IT expert with over 20 years of experience in the industry. I hold certifications as a Cisco Certified Networking Professional (300-100 and 300-115), Linux Certified Professional (LPI 101, 102, 103), Red Hat Certified System Administrator, VMware Certified Professional (versions 4, 5, and 5.5), as well as being a Microsoft System Administrator/Engineer from 2003 to 2022 and AZ104

@sufyand1

Hi, I have strong experience working with NVIDIA GPU environments, CUDA-based setups, and Linux server configurations. I can fully install and configure WAN Video 2.7 on your DGX Spark workstation with all required dependencies and libraries. I am comfortable compiling from source, resolving driver/codec issues, and ensuring smooth GPU-accelerated performance. I will connect via AnyDesk, complete the setup, and verify successful execution with a working test stream. I will also provide a clean, well-structured README so you can easily replicate the setup later. You can expect a stable, production-ready installation with no unnecessary system changes.

@artur1992123

Hi Muhammad, Need a strong review to kickstart my Freelancer profile, happy to handle this WAN Video 2. 7 setup for $25. I'll connect via AnyDesk, pull all dependencies, configure the stack end-to-end, verify streaming functionality, and document every step. I've deployed amplu video pipelines on Ubuntu before and work fast with system-level tooling. DGX Spark is a solid workstation, this should be clean and quick. Check my portfolio for Linux automation and deployment work: https://www.freelancer.com/portfolio-items/11324136 Ready to start immediately.

@novalitztech

Hi, I've got a solid understanding of what you need: you want the WAN Video 2.7 stack fully installed on your Nvidia DGX Spark workstation running Ubuntu, ensuring it runs smoothly with GPU acceleration. I’ll connect via AnyDesk, manage the setup, install all necessary libraries, and troubleshoot any potential issues with drivers or codecs. My approach will be hands-on and collaborative. While you provide root access, I’ll ensure everything is configured correctly and document the supporting packages in a concise README for future reference. I have experience working in CUDA-centric environments and can compile from source if needed, so I’m well-prepared for any challenges that arise. I’m focused on delivering a clean installation that meets your requirements without altering any unrelated system components. You can expect clear communication throughout the process, ensuring we’re on the same page. Best regards, Novalitz Tech

@PetrusLubbe

I see you're looking to set up the WAN Video 2.7 stack on an Nvidia DGX Spark with Ubuntu, ensuring GPU acceleration and a clean launch. My approach is to methodically compile from source as needed, resolve driver or codec conflicts specific to DGX hardware, and document all steps for easy future replication. While I am new to Freelancer, I have strong hands-on experience working in CUDA environments and have completed similar setups involving GPU-accelerated video applications off-platform. Could you share which Ubuntu version is currently installed on your DGX system? Happy to chat and see if I’m a good fit. Regards, Pietie Lubbe

@Devil6633

I have reviewed your requirements thoroughly. For deploying WAN Video 2.7 on DGX Spark, I will use an isolated environment approach: create a standalone Conda environment to avoid modifying system CUDA drivers; compile PyTorch from source to match DGX's existing software stack and resolve potential codec conflicts; download and configure Wan2.1-T2V-14B model weights, verify GPU acceleration, and generate test video streams. Deliverables include: a fully functional WAN 2.7 environment, a README documenting all commands and version numbers, and a troubleshooting guide. All operations remain in the user directory without altering system components, allowing easy rollback. Estimated completion time: 4-6 hours. Rate: $25, covering environment assessment, deployment, and one follow-up tuning session.

@iAmiteshKr

i have experience with end to end board bringup of more than 11+ projects where i need to compile, path, integrate kernel, bsp, bootloader, drivers, libraries, dependencies in linux environments since 15+ years. I can easily work on it and can be paid on your local currency.