Generative AI Inference Powered by NVIDIA NIM: Performance and TCO Advantage
NVIDIA® NIM™ transforms infrastructure into a high-performance AI factory — generating more tokens, faster, and with lower cost. This video compares NIM to open-source alternatives in a real-world application, showing how it delivers up to 3x the throughput for tasks like summarization, code generation, and content creation. If you're scaling LLMs and want enterprise-grade efficiency, this is a must-watch.
Watch the video now to see how with NVIDIA NIM, QuattroOne can help your business lead in the token economy with less infrastructure and a smaller carbon footprint.
What are NVIDIA NIM microservices?
NVIDIA NIM microservices are prebuilt and optimized services designed to enhance generative AI inference performance. They are capable of delivering up to 3x more tokens per second throughput compared to popular alternative inferencing engines when utilized on the same NVIDIA accelerated infrastructure.
How do NIM microservices improve performance?
NIM microservices optimize generative AI inference by significantly increasing throughput. For instance, they can process 2.4x more tokens per second when solving nearly 50 crossword puzzles and achieve 3x more tokens per second when handling 225 crosswords, showcasing their ability to scale with increased workloads.
What is the impact on total cost of ownership (TCO)?
By enabling higher throughput and processing more tokens per second on the same infrastructure, NIM microservices help lower the overall total cost of ownership (TCO) for businesses, making it more cost-effective to power multiple generative AI applications.
Generative AI Inference Powered by NVIDIA NIM: Performance and TCO Advantage
published by QuattroOne
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