2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to empowering open-source contributions, these blog posts highlight the breakthroughs that resonated most with our readers.
NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale
Introduced in 2024, NVIDIA NIMΒ is a set of easy-to-use inference microservices for accelerating the deployment of foundation models. Developers can optimize inference workflows with minimal configuration changes, making scaling seamless and efficient.
AccessΒ toΒ NVIDIAΒ NIMΒ NowΒ AvailableΒ FreeΒ toΒ DeveloperΒ ProgramΒ Members
To democratize AI deployment, NVIDIA offers free access to NIM for its Developer Program members, enabling a broader range of developers to experiment with and implement AI solutions.
NVIDIAΒ GB200 NVL72 DeliversΒ Trillion-ParameterΒ LLMΒ TrainingΒ andΒ Real-TimeΒ Inference
The NVIDIA GB200-NVL72 system set new standards by supporting the training of trillion-parameter large language models (LLMs) and facilitating real-time inference, pushing the boundaries of AI capabilities.
NVIDIAΒ TransitionsΒ FullyΒ TowardsΒ Open-SourceΒ GPUΒ KernelΒ Modules
NVIDIA fully transitioned its GPU kernel modules to open-source, empowering developers with greater control, transparency, and adaptability in customizing GPU-related workflows.
An EasyΒ IntroductionΒ toΒ MultimodalΒ Retrieval-AugmentedΒ Generation
Simplifying the complex world of RAG, the guide demonstrates how combining text and image retrieval enhances AI applications. From chatbots to search systems, multimodal AI is now more accessible than ever.
BuildΒ anΒ LLM-PoweredΒ DataΒ AgentΒ forΒ DataΒ Analysis
This step-by-step tutorial showcases how to build LLM-powered agents, enabling developers to improve and automate data analysis using natural language interfaces.
UnlockΒ YourΒ LLMΒ CodingΒ PotentialΒ with StarCoder2
The introduction of StarCoder2, an AI coding assistant, aims to boost developers’ productivity by providing high-quality code suggestions and reducing repetitive coding tasks.
HowΒ toΒ PruneΒ andΒ DistillΒ LlamaΒ 3.1 8BΒ toΒ anΒ NVIDIAΒ MiniTronΒ 4BΒ Model
Take a deep dive into the methods for pruning and distilling the Llama 3.1 8B model into the more efficient MiniTron 4B, optimizing performance without compromising accuracy.
How to Take a RAG Application from Pilot to Production in Four Step
This tutorial outlines a straightforward path to scale Retrieval-Augmented Generation (RAG) applications, emphasizing best practices for production readiness.
RAPIDS cuDF Accelerates pandas Nearly 150x with Zero Code Changes
RAPIDS cuDF delivers an astounding 150x acceleration to Pandas workflowsβwithout requiring code changesβtransforming data science pipelines and boosting productivity for Python users.
Looking ahead
As we head into 2025, stay tuned for more transformative innovations.
Subscribe to the Developer Newsletter and stay in the loop on 2025 content tailored to your interests. Follow us on Instagram, Twitter, YouTube, and Discord for the latest developer news.
