DEEPSEEK
NVIDIA's ComputeEval 2025.2 Challenges LLMs with Advanced CUDA Tasks
NVIDIA expands ComputeEval with 232 new CUDA challenges, testing LLMs' capabilities in complex programming tasks. Discover the impact on AI-assisted coding.
NVIDIA Blackwell Outshines in InferenceMAX™ v1 Benchmarks
NVIDIA's Blackwell architecture demonstrates significant performance and efficiency gains in SemiAnalysis's InferenceMAX™ v1 benchmarks, setting new standards for AI hardware.
Together AI Introduces Flexible Benchmarking for LLMs
Together AI unveils Together Evaluations, a framework for benchmarking large language models using open-source models as judges, offering customizable insights into model performance.
Optimizing LLM Inference with TensorRT: A Comprehensive Guide
Explore how TensorRT-LLM enhances large language model inference by optimizing performance through benchmarking and tuning, offering developers a robust toolset for efficient deployment.
Optimizing LLM Inference Costs: A Comprehensive Guide
Explore strategies for benchmarking large language model (LLM) inference costs, enabling smarter scaling and deployment in the AI landscape, as detailed by NVIDIA's latest insights.
Evaluating Multi-Agent Architectures: A Performance Benchmark
LangChain's new study benchmarks various multi-agent architectures, focusing on their performance and scalability using the Tau-bench dataset, highlighting the advantages of modular systems.
NVIDIA Unveils Exemplar Clouds to Enhance AI Cloud Benchmarking
NVIDIA introduces Exemplar Clouds to standardize AI cloud infrastructure benchmarking, ensuring transparency and performance across cloud providers.
Benchmarking NVIDIA NIM with GenAI-Perf: A Comprehensive Guide
Explore how NVIDIA's GenAI-Perf tool benchmarks Meta Llama 3 model performance, providing insights into optimizing LLM-based applications using NVIDIA NIM.
Enhancing AI Workload Efficiency with NVIDIA DGX Cloud Benchmarking
NVIDIA introduces DGX Cloud Benchmarking to optimize AI workload performance, focusing on infrastructure, software frameworks, and application enhancements.
Boosting JSON Lines Processing: NVIDIA cuDF vs. Traditional Libraries
Explore how NVIDIA cuDF accelerates JSON Lines reading, outperforming traditional libraries like pandas and pyarrow, with benchmarks and performance insights.