Introducing Llama 3.3 Support on TitanML: Advanced AI, Self-Hosted and Secure

We are thrilled to announce that TitanML now supports the latest frontier open model: Llama 3.3 70B.

This state-of-the-art model offers enhanced reasoning, mathematical capabilities, and superior instruction-following performance, all in a more efficient model architecture.

Why Llama 3.3 70B?

Llama 3.3 70B delivers performance comparable to larger models, such as Llama 3.1 405B, but with significantly reduced computational requirements. This efficiency enables faster processing and more cost-effective deployment without compromising on quality. By integrating Llama 3.3 70B into our inference stack, our clients can quickly experiment with the best available models within their private compute environments.

Seamless Integration with TitanML

At TitanML, we provide a self-hosted AI API layer that allow clients to deploy AI models within their private Virtual Private Cloud (VPC) or on-premise infrastructure. Our support for Llama 3.3 70B ensures that you can harness the power of this advanced model while maintaining full control over your data and compliance requirements.

• Enhanced Performance: Experience superior reasoning and mathematical processing capabilities, enabling more accurate and insightful AI-driven solutions.
• Cost Efficiency: Achieve high-level AI performance with reduced computational resources, leading to lower operational costs.
• Data Sovereignty: Deploying within your own infrastructure ensures that sensitive data remains under your control, aligning with stringent compliance standards.

Getting Started

Integrating or swapping in Llama 3.3 70B into your existing workflows is straightforward with TitanML - requiring only a single line of code change. For more information and to begin your integration, please contact our support team or visit our documentation portal.

Contact our sales team today to learn more about how TitanML and the Llama 3.3-70B model can support your goals.