CUDA Jobs

I need a compact, well-structured script that ingests a 2D image and returns a high-quality .glb file in one pass, with no noticeable loss of fidelity. Speed is critical; the final tool should feel almost instantaneous when run on a modern desktop. Because I have no fixed preference for specific libraries, feel free to choose whatever stack best balances performance and quality—OpenCV, TensorFlow, or any other framework you’re confident will get the job done quickly and cleanly. What matters most is that the resulting geometry, textures, and materials in the .glb look crisp and faithful to the source image. Deliverables • Source code with clear inline comments • A straightforward README explaining environment setup, usage, and any dependencies • A sample ...

I need a set of modular Python scripts that bring machine-learning intelligence into my network-monitoring workflow. The primary goal is to spot malware traffic in real time, analyse it on the fly and trigger an automated response that contains or blocks the threat without manual intervention. Scope of work The solution should ingest live packet data (pcap, NetFlow or similar), run it through an AI/ML model trained to recognise malware signatures and behavioural anomalies, and then decide—within seconds—whether to raise an alert, quarantine the source or execute a predefined remediation playbook. Beyond simple flagging, I also want deeper malware analysis so I can review payload characteristics and produce short forensic reports. Required deliverables • Clean, well-d...

I have an Nvidia DGX Spark workstation that ships with Ubuntu and I need the open-source WAN Video 2.7 stack fully installed and running on it. You will connect over AnyDesk, handle the complete setup, pull all required libraries and system dependencies, and verify the application launches cleanly with GPU acceleration enabled. During the session I will stay online to provide root access and restart the box if needed. Please be comfortable working in a CUDA-centric environment, compiling from source when binaries are not available, and troubleshooting driver or codec conflicts that sometimes appear on DGX hardware. Acceptance criteria • WAN Video Open Source 2.7 starts without errors and streams a test feed. • All supporting packages and services are documented in a short R...

I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment