Mango LLMBoost
A ready-to-deploy, full-stack MLOps platform for high-performance LLM training and inference—delivering unmatched scalability, cost-efficiency, and deployment flexibility across any environment.
What is LLMBoost?
LLMBoost is MangoBoost’s enterprise-grade MLOps software platform designed to accelerate both training and inference of large language models (LLMs). It features patent-pending technologies for auto-tuning, model parallelism, batch scheduling, and memory optimization—enabling near-linear multi-node training scalability, as demonstrated in MLPerf Training v5.0 on AMD MI300X GPUs. LLMBoost also powers the highest MLPerf Inference v5.0 result in history for Llama2-70B in offline mode, showcasing its ability to deliver best-in-class inference performance. The platform is model-agnostic, hardware-flexible, and ready for deployment on public cloud or on-premise infrastructure.
Key Components
🧠 Inference
High-performance AI model inference with unprecedented speed and efficiency. Get started with deploying your models for production workloads.
📚 Training
Comprehensive model training capabilities for developing custom AI solutions from scratch.
🔄 Finetuning
Advanced model fine-tuning for adapting pre-trained models to specialized use cases and domains.
Why Choose LLMBoost?
- Performance: Optimized for production workloads with minimal latency
- Scalability: Handles enterprise-scale AI deployments
- Flexibility: Supports for various AI models and frameworks
- Reliability: Enterprise-grade infrastructure and support
Get Started
Choose your path based on your needs:
- New to AI deployment? Start with Inference
- Building custom models? Explore Training
- Adapting existing models? Learn about Finetuning