In this tutorial, we build and run a complete Pose2Sim pipeline on Colab to understand how markerless 3D kinematics works […]
Category: Applications
NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and […]
An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation
In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context […]
Meta Superintelligence Lab Releases Muse Spark: A Multimodal Reasoning Model With Thought Compression and Parallel Agents
Meta Superintelligence Labs recently made a significant move by unveiling ‘Muse Spark’ — the first model in the Muse family. […]
Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context
A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form […]
Meet OSGym: A New OS Infrastructure Framework That Manages 1,000+ Replicas at $0.23/Day for Computer Use Agent Research
Training AI agents that can actually use a computer — opening apps, clicking buttons, browsing the web, writing code — […]
How to Deploy Open WebUI with Secure OpenAI API Integration, Public Tunneling, and Browser-Based Chat Access
In this tutorial, we build a complete Open WebUI setup in Colab, in a practical, hands-on way, using Python. We […]
Enterprises struggle with the increased complexity of application change
A new report from cloud application lifecycle management (CALM) platform Opkey shows enterprise application leaders are coping with the increased […]
Meta AI Releases EUPE: A Compact Vision Encoder Family Under 100M Parameters That Rivals Specialist Models Across Image Understanding, Dense Prediction, and VLM Tasks
Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision […]
An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution
In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision […]