Product Brief
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Any GPU. Any model. Any API. Fully optimized, your way.
Maximum Device Flexibility
Enable cost-efficient, high-performance AI inference on all popular NVIDIA and AMD GPUs
Multi-model Deployment and Management
Run LLM inference with multiple modalities of input data, including text-based and vision-based inference. Easily deploy and manage multiple LLMs on a single multi-GPU server with automated resource allocation
Hassle-free Deployment
Deploy end-to-end deployment with web-serving and streaming APIs, optimize GPU performance with push-buttont tuning, and seamlessly integrate with OpenAI’s API
Design Overview
Optimized engines and quantized models do the magic.
Mango LLMBoost™ optimizes GPU utilization with advanced scheduling, memory management, and quantization for peak AI inference performance.
Inference Engine Optimization
Optimized coordination of system software scheduling and ML computation to maximize GPU parallelism
Performance tuning automatically captures optimal kernel configurations for your workload to further optimize GPU performance
Intelligent memory management reduces GPU memory waste and maximizes GPU compute utilization
Model Deployment Optimization
Quantized models utilize the smaller FP8 data format within LLMBoost, reducing GPU memory usage and enabling higher performance on the latest GPUs
Automatically discover optimal 3D GPU parallelism configurations for maximum performance
Evaluation Results
Backed by numbers, not just words.
Mango LLMBoost™ delivers unmatched performance gains and cost savings across all leading LLM models and engines.
Relative Performance Improvement
AWS, g6e.48xlarge, 8xL40S
Cost Savings
AWS, g6e.48xlarge, 8xL40S
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Our Products
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