Unite.AI

AUGUST 12, 2024

Deploying Flux as an API with LitServe For those looking to deploy Flux as a scalable API service, Black Forest Labs provides an example using LitServe, a high-performance inference engine. This roadmap suggests that Flux is not just a standalone product but part of a broader ecosystem of generative AI tools.

Generative AI 246

Generative AI Natural Language Processing Inference Engine AI Tools 246

Unite.AI

SEPTEMBER 24, 2024

NVIDIA Inference Microservices (NIM) and LangChain are two cutting-edge technologies that meet these needs, offering a comprehensive solution for deploying AI in real-world environments. Understanding NVIDIA NIM NVIDIA NIM, or NVIDIA Inference Microservices, is simplifying the process of deploying AI models.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Unite.AI

JUNE 21, 2024

Projects like cuDNN , cuBLAS , and NCCL are available as open-source libraries, enabling researchers and developers to leverage the full potential of CUDA for their deep learning. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice. xx) supports CUDA 12.3,

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Unite.AI

JULY 18, 2024

Language Processing Units (LPUs): The Language Processing Unit (LPU) is a custom inference engine developed by Groq, specifically optimized for large language models (LLMs). However, due to their specialized design, NPUs may encounter compatibility issues when integrating with different platforms or software environments.

Neural Network 162

Neural Network AI Modeling AI AI 162

Mlearning.ai

JUNE 2, 2023

In the first part of this blog, we are going to explore how Modular came into existence, who are it’s founding members, and what they have to offer to the AI community. This highly complex and fragmented ecosystem is hampering the AI innovation, and is pulling back the AI community, as a whole. Read more about it here.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

Marktechpost

OCTOBER 20, 2024

The diversity in sizes also reflects the broadening scope of AI development, allowing developers the flexibility to choose models based on specific requirements, whether they need compact models for edge computing or massive models for cutting-edge research. If you like our work, you will love our newsletter.

Large Language Models 105

Large Language Models Inference Engine Natural Language Processing AI Developer 105