You will get a full setup & seamless AI Model Deployment
Top Rated

Top Rated

Project details
You will get a fully optimised and professionally configured setup of Ollama on your local GPU-enabling smooth deployment and testing of Large Language Models like Llama2, Mistral, Phi, and others. With hands-on experience in AI model deployment and GPU configuration, I specialize in solving common issues like CUDA mismatches, environment conflicts, and performance bottlenecks. Whether you're a developer, researcher, or AI enthusiast, I’ll help you turn your local machine into a powerful LLM-ready environment. The work I deliver is precise, performance-focused, and future-proof!
🧾 Project Steps
Step 1: System Assessment
Collect your OS, GPU specs, and CUDA version.
Verify hardware compatibility for Ollama setup.
Step 2: Environment Setup
Install required drivers, dependencies, and Ollama.
Align CUDA, GPU drivers, and environment paths.
Step 3: Model Deployment Test
Pull and configure popular models (Llama2, Mistral, or any you choose).
Run test queries to confirm GPU acceleration.
Step 4: Performance Optimization
Fine-tune your environment for speed and memory efficiency.
Set recommendations for future deployments.
🧾 Project Steps
Step 1: System Assessment
Collect your OS, GPU specs, and CUDA version.
Verify hardware compatibility for Ollama setup.
Step 2: Environment Setup
Install required drivers, dependencies, and Ollama.
Align CUDA, GPU drivers, and environment paths.
Step 3: Model Deployment Test
Pull and configure popular models (Llama2, Mistral, or any you choose).
Run test queries to confirm GPU acceleration.
Step 4: Performance Optimization
Fine-tune your environment for speed and memory efficiency.
Set recommendations for future deployments.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Gradio, NVIDIA AI Platform, PyTorch, StreamlitAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | |
Source Code | - | - |
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About Muhammad
AI Architect | GenAI & AWS Cloud | SaaS & Agentic AI Specialist
100%
Job Success
Islamabad, Pakistan - 1:41 am local time
I help businesses move beyond AI prototypes by designing and deploying secure, scalable, and cost-efficient AI solutions that deliver measurable business impact. My expertise includes AI agent orchestration, Retrieval-Augmented Generation (RAG), multi-model LLM integrations, and cloud-native AI infrastructure.
I work with modern AI frameworks and technologies including LangChain, LangGraph, OpenAI, Claude, Ollama, OpenRouter, FastAPI, Docker, Kubernetes, AWS, and GCP to build reliable systems that scale in real-world production environments.
What I Can Help You Build:
AI Agents & Workflow Automation
Design and deploy intelligent AI agents capable of automating workflows, handling decision-making processes, and improving operational efficiency using LangGraph and advanced LLM orchestration.
Production-Ready RAG Systems
Build scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise chatbots, internal knowledge bases, AI assistants, and semantic search systems with optimized latency, accuracy, and token efficiency.
Voice AI & Conversational Systems
Develop multilingual real-time voice AI applications using Whisper, Text-to-Speech (TTS), streaming pipelines, and conversational AI architectures for seamless human-AI interaction.
Scalable Backend & AI Infrastructure
Create robust backend systems and APIs using FastAPI, Docker, Kubernetes, PostgreSQL, and cloud platforms such as AWS and GCP for secure and high-performance deployments.
Why Clients Choose to Work With Me
✔️ Experience working with international startups and AI-driven businesses
✔️ Strong focus on production-grade systems, not experimental demos
✔️ Expertise in building scalable and cost-optimized AI architectures
✔️ Deep understanding of low-latency and high-availability AI systems
✔️ Ability to transform AI concepts into reliable enterprise solutions
✔️ Strong communication, transparency, and long-term collaboration mindset
Problems I Help Businesses Solve
Many businesses struggle with:
High LLM and infrastructure costs
Slow AI response times
Poor scalability under production workloads
Unstable AI pipelines and unreliable outputs
Difficulty transitioning from prototype to production
I help solve these challenges by building optimized, scalable, and maintainable AI systems designed for long-term growth and ROI.
Why Clients Can Trust Me
I have worked with clients across different industries and regions who are focused on innovation and building impactful AI-driven products. My goal is not just to develop AI systems, but to create reliable solutions that contribute directly to business growth, operational efficiency, and recurring revenue.
I believe in honest communication, long-term partnerships, and delivering production-ready solutions that businesses can depend on confidently.
Let’s Build Something Powerful
If you are looking to build:
✔️ AI Agents & Autonomous Workflows
✔️ RAG-Based Chatbots & Knowledge Systems
✔️ Voice AI Applications
✔️ AI SaaS Products
✔️ Scalable LLM Infrastructure
Let’s connect for a quick 10-minute discovery call to discuss your goals, technical requirements, and execution strategy.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
System Assesment
I need to know the system gpu details so that it can be easy to configure the model on the hardware