TensorRT-LLM
Oct 20, 2025
Scaling Large MoE Models with Wide Expert Parallelism on NVL72 Rack Scale Systems
Modern AI workloads have moved well beyond single-GPU inference serving. Model parallelism, which efficiently splits computation across many GPUs, is now the...
10 MIN READ
Oct 13, 2025
NVIDIA Blackwell Leads on SemiAnalysis InferenceMAX v1 Benchmarks
SemiAnalysis recently launched InferenceMAX v1, a new open source initiative that provides a comprehensive methodology to evaluate inference hardware...
11 MIN READ
Sep 17, 2025
An Introduction to Speculative Decoding for Reducing Latency in AI Inference
Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits...
11 MIN READ
Aug 22, 2025
NVIDIA Hardware Innovations and Open Source Contributions Are Shaping AI
Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. These models are...
8 MIN READ
Aug 05, 2025
NVIDIA Accelerates OpenAI gpt-oss Models Delivering 1.5 M TPS Inference on NVIDIA GB200 NVL72
NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI...
6 MIN READ
Jul 07, 2025
LLM Inference Benchmarking: Performance Tuning with TensorRT-LLM
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to benchmark LLM inference...
11 MIN READ
Jun 25, 2025
Check Out Sovereign AI in Practice Through an NVIDIA Webinar
Join NVIDIA experts and leading European model builders on July 8 for a webinar on building and deploying multilingual large language models.
1 MIN READ
Jun 25, 2025
How to Streamline Complex LLM Workflows Using NVIDIA NeMo-Skills
A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or...
10 MIN READ
Jun 24, 2025
Introducing NVFP4 for Efficient and Accurate Low-Precision Inference
To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as...
11 MIN READ
May 30, 2025
NVIDIA Deep Learning Institute Offers Multilingual AI Training at GTC Paris
Large language models (LLMs) are capable of recognizing, summarizing, translating, predicting, and generating content. Yet even the most powerful LLMs face...
6 MIN READ
May 22, 2025
Blackwell Breaks the 1,000 TPS/User Barrier With Meta’s Llama 4 Maverick
NVIDIA has achieved a world-record large language model (LLM) inference speed. A single NVIDIA DGX B200 node with eight NVIDIA Blackwell GPUs can achieve over...
9 MIN READ
May 02, 2025
Integrate and Deploy Tongyi Qwen3 Models into Production Applications with NVIDIA
Alibaba recently released Tongyi Qwen3, a family of open-source hybrid-reasoning large language models (LLMs). The Qwen3 family consists of two MoE models,...
7 MIN READ
Apr 24, 2025
Benchmarking Agentic LLM and VLM Reasoning for Gaming with NVIDIA NIM
This is the first post in the LLM Benchmarking series, which shows how to use GenAI-Perf to benchmark the Meta Llama 3 model when deployed with NVIDIA NIM. ...
7 MIN READ
Apr 02, 2025
NVIDIA Blackwell Delivers Massive Performance Leaps in MLPerf Inference v5.0
The compute demands for large language model (LLM) inference are growing rapidly, fueled by the combination of growing model sizes, real-time latency...
10 MIN READ
Apr 02, 2025
LLM Inference Benchmarking: Fundamental Concepts
This is the first post in the large language model latency-throughput benchmarking series, which aims to instruct developers on common metrics used for LLM...
15 MIN READ
Mar 20, 2025
Boost Llama Model Performance on Microsoft Azure AI Foundry with NVIDIA TensorRT-LLM
Microsoft, in collaboration with NVIDIA, announced transformative performance improvements for the Meta Llama family of models on its Azure AI Foundry platform....
4 MIN READ