Open-Source Model
Deploy a high-performance, open-weight model for maximum security and control.
Build Enterprise AI Agents Powered by Llama 3.3 70B
Deploy secure, autonomous AI agents with Llama 3.3 70B on Lyzr's enterprise-grade platform. Go from model to production-ready agent without infrastructure complexity.
Secure model deployment
Autonomous task agents
Enterprise-ready scale
Why Build Agents
with Llama 3.3 70B?
Llama 3.3 70B offers the ideal balance of performance, open-source transparency, and efficiency for building powerful, reliable enterprise AI agents.
Instruction-Tuned
The model is fine-tuned to follow instructions, ensuring reliable agent execution.
Multilingual Support
Llama 3.3 70B capably handles complex multilingual workflows right out of the box.
Cost Efficiency
Achieve a superior performance-to-cost ratio over proprietary API-based models.
Customizable AI
Fine-tune and adapt the model to your specific enterprise domain and needs.
Workflows
Workflows
Move beyond experiments. Deploy Llama 3.3 70B powered agents that solve real business problems and automate critical workflows from day one.
Knowledge Agents
Agents that retrieve, summarize, and surface key internal knowledge.
Support Automation
Resolve support tickets, triage issues, and escalate tasks intelligently.
Process Automation
Orchestrate complex, multi-step business processes across your tools.
Tired of slow, costly, and opaque AI? Lyzr delivers real performance and control with open-source models.
Business Outcomes with
Llama 3.3 AI Agents
Accelerated Deployment Time
Launch production-grade Llama 3.3 70B agents in days, not months.
Total Data Control
Deploy agents in your VPC or on-premise, ensuring your data never leaves.
Reduced Operational Spend
Eliminate expensive, per-token API costs from proprietary model vendors.
Scalable Orchestration
Easily scale your agent workforce across departments and complex workflows.
Lyzr's Agent Framework
Meets Llama 3.3
Our platform unlocks the full potential of Llama 3.3 70B with enterprise-grade tools for building, deploying, and managing autonomous agents.
Tool Calling
Leverage Llama 3.3 70B's native ability to call functions and use tools.
Multi-Agent Workflows
Enable multiple Llama 3.3 70B agents to collaborate on complex business goals.
Secure RAG Integration
Connect agents to your proprietary data with our secure RAG implementation.
Persistent Agent Memory
Lyzr manages both short-term and long-term memory for stateful, aware agents.
Safety & Guardrails
Implement robust safety, compliance, and auditing controls over your agents.
Lyzr vs. Generic
Agent Platforms
| Feature | Generic Platforms | DIY Frameworks | Lyzr |
|---|---|---|---|
| Llama 3.3 70B Support | Limited support | Complex manual setup | Native, optimized support |
| On-Premises Deployment | Often unavailable | High engineering effort | Fully supported |
| Multi-Agent Tools | Basic or missing | Requires custom code | Built-in orchestration |
| Built-in RAG | Requires separate tools | Needs custom integration | Integrated RAG pipeline |
| Audit Controls | Minimal logging | Requires custom code | Comprehensive audit logs |
| No-Code Agent Builder | Rarely available | Not applicable | Intuitive no-code builder |
| Enterprise Grade Security | No guarantees | Self-managed | Full enterprise compliance |
| Dedicated SLAs | Community support | Not available | Full enterprise support |
| Scalable Governance | Manual policies | Requires custom dev | Built-in RBAC & policies |
| Observability | Limited metrics | Requires own setup | Advanced monitoring |
Why Lyzr for Llama
3.3 70B Agents?
Llama-Optimized
Our platform is deeply optimized for open-source models like Llama.
Enterprise Security
Benefit from total data residency, access control, and complete auditability.
Fastest Deployment
Move from model selection to a live, production agent in record time.
Dedicated Support
We provide enterprise-grade support, expert onboarding, and uptime SLAs.
Trusted by Innovative
Enterprise Teams
Global leaders in technology, finance, and B2B services trust Lyzr to deploy secure, scalable, and powerful AI agent solutions.
Switching to Lyzr to deploy our AI Agents with the Llama 3.3 70B model was a game-changer. We cut our agent build time by 60% and completely eliminated our dependency on expensive, opaque proprietary APIs. We now have full control over our AI stack and our data.
VP of AI · Head of AI Engineering
Zero
Data exfiltration incidents
Deploy Llama 3.3 70B Agents
in 4 Steps
Select Model
Choose Llama 3.3 70B from our secure, curated model registry.
Configure Agent
Define your agent's goals, tools, and persona in our intuitive builder.
Connect Data
Integrate internal knowledge bases, databases, or APIs securely.
Deploy & Monitor
Launch your agent and track its performance via our central dashboard.
Your Questions About Llama
3.3 70B Agents, Answered
What are AI Agents Powered by Llama 3.3 70B?
They are autonomous AI systems that use Meta's powerful Llama 3.3 70B open-weight model to perform complex tasks. This instruction-tuned model allows for more reliable and accurate task execution compared to many closed-source alternatives, making them ideal for secure, transparent enterprise use.
How do I build AI Agents Powered by Llama 3.3 70B?
With Lyzr, you simply select the Llama 3.3 70B model, use our no-code builder to configure the agent's logic and tools, securely connect your enterprise data sources, and deploy it with a single click. Our platform handles all the infrastructure complexity for you.
Can I deploy an open-source LLM like Llama securely?
Absolutely. Lyzr is built for enterprise security. We support deployments within your own VPC, private cloud, or on-premises servers. This ensures your proprietary data and the Llama model remain entirely within your control, meeting strict data residency requirements.
How does Llama 3.3 70B compare to GPT-4o?
Llama 3.3 70B offers a powerful open-source alternative, providing greater privacy, no vendor lock-in, and significant cost savings on inference. While performance is comparable for many tasks, the key enterprise benefits are control, customizability, and cost-efficiency at scale.
What use cases fit AI Agents Powered by Llama 3.3 70B?
They excel at tasks requiring deep reasoning and tool use. Top use cases include internal knowledge base automation, advanced customer support resolution, HR and onboarding workflow automation, compliance monitoring, and orchestrating multi-step business process automations.
How does RAG work with Llama 3.3 70B agents?
Lyzr's built-in RAG pipeline allows your Llama 3.3 70B agent to securely access and reason over your private company data. This grounds the agent in your specific business context, improving accuracy and relevance without the need to retrain or fine-tune the base model.
Can I use multiple Llama agents for a single task?
Yes, this is a core capability of our platform. Lyzr's agent orchestration framework allows you to create teams of specialized Llama 3.3 70B agents that collaborate to solve complex, multi-stage problems, passing information and tasks between each other seamlessly.
What are the cost savings of switching to Llama 3.3 70B?
By moving away from proprietary, pay-per-call APIs, you can significantly reduce your operational costs. With a self-hosted Llama 3.3 70B model managed by Lyzr, you eliminate per-token fees, leading to predictable and substantially lower costs for high-volume enterprise workloads.
How do Llama agents on Lyzr handle memory and context?
Our platform provides a sophisticated memory architecture for agents. This includes short-term memory for managing the context of an ongoing conversation or task, as well as long-term persistent memory that allows the agent to recall information from previous interactions for continuity.
What governance features exist for enterprise AI agents?
Lyzr provides comprehensive governance and compliance tools. This includes detailed audit logs of all agent actions, configurable guardrails to control agent behavior, role-based access control (RBAC) to manage permissions, and robust monitoring to ensure safe and reliable operation.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.