DeepSeek in Production

DeepSeek in Production: A One-Day Virtual Summit

Unlock the full potential of DeepSeek, the open-source LLM series redefining performance, cost-efficiency, and reasoning capabilities.

Join a global community of developers and engineers on August 16 for a focused, hands-on summit dedicated to building, scaling, and shipping with DeepSeek—the open-source LLM series pushing the boundaries of performance and cost-efficiency.

This is not just another AI conference. It's a 6-hour technical sprint to move you from exploration to execution, with direct access to engineers from DeepSeek, AWS, and GenAI security & privacy leadership.

What You’ll Learn

Inside DeepSeek: Why It’s Built DifferentlyUnderstand the core innovations behind DeepSeek’s architecture:

• MoE (Mixture of Experts): Sparse, efficient, scalable
• FP8 Precision: Train larger models, faster, with less memory
• Multi-Head Latent Attention: Smarter memory compression
• Multi-Token Prediction (MTP): Speed up generation without quality dropYou'll walk away understanding how these work—and why they matter in production.

Live Workshop: Fine-Tune DeepSeek on Your Terms

• Train with LoRA + Unsloth on consumer-grade GPUs
• Run practical experiments on Google Colab or local setups
• Learn dataset structuring, hyperparameter tuning, and optimization best practicesLeave with a working fine-tuned model + reproducible codebase.

Deploy with Confidence: Real-World Production Strategies

• Caching, quantization, batching, and latency optimization
• Deployment pipelines across Hugging Face, Together.ai, Azure AI Hub, and on-prem setups
• How to handle rate limits, token budgets, and multi-agent scaling

Agentic AI with DeepSeek-R1

• Learn how DeepSeek handles chain-of-thought reasoning
• What it gets right—and where tool use still needs work
• Build smarter multi-step agents with LangGraph, CrewAI, or NIM-based systems

Live Panels & Strategy RoundtablesJoin top practitioners like Karl H., Miguel Otero, and Paul Iustine for practical discussions on:

• The future of open-source LLMs in enterprise
• Trade-offs of deploying DeepSeek vs. closed models
• Emerging agent architectures in real applications

Who Should Attend

• GenAI Developers building with LangChain, AutoGen, CrewAI
• AI/ML Engineers looking to move into open models they can fine-tune
• CTOs & Tech Leads evaluating performance vs. cost trade-offs at scale
• Infra & Product Teams seeking to deploy GenAI models under real constraints
• Startups building AI-first products that can’t afford closed-model limitations

What You'll Walk Away With

• A fine-tuned DeepSeek model running on your own hardware
• Deployment templates and performance benchmarks
• Code to plug into your next GenAI project
• Tactical clarity on how to scale DeepSeek in production
• Access to post-event recordings + workshop material

Event Format

• Date: 16th August 2025
• Time: 9:00 AM ET – 4:30 PM ET
• Format: 100% Online | Interactive & Live | Replay Access Included