1 / 9

Scaling Intelligence: Building Enterprise LLM Systems with Go

Discover how Gou2019s concurrency, speed, and reliability make it a powerful choice for architecting enterprise-grade LLM systems that balance performance, scalability, and cost efficiency.<br><br>Read more: https://zenithive.com/enterprise-grade-ai-architecting-llm-systems-with-go/

Zenithive
Télécharger la présentation

Scaling Intelligence: Building Enterprise LLM Systems with Go

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Enterprise-grade AI Architecting LLM Systems with GO WWW.ZENITHIVE.COM

  2. Introduction Why LLM System Need a New Architecture • LLMs power Chatbots, translators & summarizers. • AI market -> $1.81T by 2030. • LLM adoption up 65% in 2 years. • Python struggles at scale. • GO = performance, scalability, speed Tech debt kills velocity, investor trust, and roadmap execution Results:

  3. Why LLMs Are the Future of AI From Assistants to Enterprise Engines • Customer Service -> Automated agents handle complex queries. • Healthcare -> Diagnostics + patient interaction. • Finance -> Compliance + fraud detection. • 85% interactions AI – driven by 2025 ( pwc ). • LLMs cut service costs by 30% ( IBM). • GPT models show 92% accuracy in text tasks. Tech debt kills velocity, investor trust, and roadmap execution Results:

  4. Why Go Is Ideal for LLM Systems The Performance Edge Speed : 10x faster execution vs Python. Concurrency : 30 – 50% latency reduction. Scalability : 20 – 50% infra cost savings. Adoption : 76% of Go devs use it for microservices.

  5. Core Libraries & Tools in Go for LLMs Building Smarter with Go Ecosystem Llama.go : • Local LLM integration, save 40% API costs. Startups need foundational speed and scalability Geppetto : Tech debt kills velocity, investor trust, and roadmap execution • Custom LLM building & deployment. • Case : Startups using Llama.go -> faster MVP launches + lower costs. Results:

  6. How to Build LLM Systems in Go A Step – by – Step Roadmap • Define use case ( Support, content, data). • Pick pre-trained/custom LLM. • Integrate Go libraries ( Llama.go, Geppetto). • Optimize using GO’s Concurrency. • Deploy & Scale on cloud/on – prem. • Result : 20-30% faster deployment + 15-20% lower ops costs. Tech debt kills velocity, investor trust, and roadmap execution Results:

  7. Real – World Applications Go + LLMs in Action Healthcare : Real-time patient interaction, big data analysis. Finance : Fraud detection & compliance at scale. Startups : 30% faster MVP development, rapid iteration cycles. AI boosts developer productivity by 80% ( McKinsey ).

  8. Future Trends with Go & AI What’s Next for AI Builders Ecosystem Growth : More AI / LLM Go libraries emerging. Enterprise Adoption : AI adds + 26% to GDP by 2030. Green AI : Go’s CPU / memory efficiency = sustainable AI. Edge AI : Lightweight Go apps perfect for edge computing.

  9. Thank You Build Enterprise – Grade AI with Go www.zenithive.com info@zenithive.com +91 1105, GANESH GLORY, Jagatpur Rd, off Sarkhej – Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481

More Related