When Tom Brady throws a perfect spiral or Serena Williams delivers an unreturnable serve, their movements result from thousands of hours of analyzing and perfecting every detail of their form. Professional athletes have long had access to sophisticated AI-powered motion analysis systems that break down their technique frame by frame. However, these systems traditionally require massive computing resources, sending video to remote data centers for processing.
At NVIDIA GTC 2025, you’ll experience the same level of professional motion analysis yourself. Latent AI is bringing its latest advancements in edge AI optimization and rapid prototyping, to showcase real-time pose detection, powered by Dell Precision 7875 workstations and NVIDIA RTX 6000 Ada Generation GPUs. These commercial-grade workstations enable AI to process movement instantaneously without relying on cloud servers or internet connectivity.
The Challenge: Making AI Work Where You Are
Traditional AI systems send your data to distant servers for processing. It’s like having to mail every photo you take to a lab for development – slow, inefficient, and sometimes impossible when you don’t have a good connection. Edge AI changes this by processing data right where it’s created, but there’s a catch: most AI models are built assuming they’ll have access to massive computing resources.
This is where Latent AI’s approach stands out. Their Latent AI Efficient Inference Platform (LEIP) optimization technology transforms complex AI models to run efficiently on available hardware. Think of it like tuning an engine – you can run the same basic design in everything from a family sedan to a race car, but you’ll get different performance levels depending on your hardware.
Why High-End Hardware Still Matters
At NVIDIA GTC 2025, Latent AI is demonstrating its technology on Dell’s 7875 Precision workstation equipped with NVIDIA accelerated computing platform . Real-time movement tracking demands exceptional precision, the smallest delay can affect accuracy. This hardware ensures the performance required for seamless, high-speed processing. Their technology optimizes the AI models in the pose detection system to run three models in a highly optimized pipeline:
- Depth Estimation: Determines object distance from the camera using MiDaS, a model leveraging a SWIN Transformer backbone for robust monocular depth estimation.
- Object Detection: Uses YOLOv8s to detect and track individuals, ensuring consistent identification even in crowded scenes.
- Pose Estimation: YOLOv8s-Pose tracks key body points to analyze and match a user’s pose to a reference.
Latent AI’s LEIP Optimize is the underlying technology that makes this demo possible. LEIP Optimize compresses the AI models and compiles the workload into your device’s native code, boosting inference speeds and minimizing latency. Without optimization, these tasks would either require immense processing power or suffer from performance bottlenecks. The table below illustrates the improvements that LEIP Optimize offers:
FPS (Frames Per Second) measures how quickly the AI model processes input data and produces results, reflecting the system’s responsiveness and efficiency—the higher the FPS, the smoother and more responsive the AI experience. LEIP Optimize delivers a 3x pipeline speed increase, making real-time pose estimation possible even on edge devices.
The Science Behind the Speed
Latent AI’s optimization combines model quantization with hardware-aware compilation to maximize performance across platforms. The process starts with quantization, which reduces the precision of computationally expensive number formats (like 32-bit floating point numbers) with lower precision formats (like INT8). It then compiles these quantized models specifically for each target hardware – on the RTX 6000 this means optimizing execution paths to leverage 4th-gen Tensor Cores for INT8 operations, while the Dell Precision 7875’s CPU handles preprocessing tasks. The optimization settings are provided as LEIP Recipes, a set of benchmarked and ready-to-execute configurations to accelerate the development process.
This hardware-specific compilation is universally adoptable and extends far beyond high-end systems. For NVIDIA Jetson Orin modules, LEIP generates code that maximizes the embedded GPU’s INT8 capabilities while for x86 industrial PCs with lower-power GPUs, it creates specialized execution paths that balance integer precision with available compute resources. By tailoring both the quantization strategy and compilation process to each platform’s constraints, LEIP maintains consistent performance across all deployment scenarios.
Beyond the Demo: Real-World Impact
The technology behind this demonstration is fueling a change in how our world analyzes movement. The power of AI pipelines is more available than it has ever been before as Latent AI’s LEIP Optimize brings advanced AI models to the edge. This advancement on real-time pose estimation implies that physical therapists can track patient movements during rehabilitation without requiring DevOps engineers to provision cloud resources to handle their data. Factory safety systems can monitor worker posture in real-time, preventing injuries before they occur. Fitness apps can offer form correction during home workouts.
Each of these applications can scale to match available hardware, and, whether you’re equipped with a Dell high-performance PC or an AI PC with NVIDIA accelerated computing platform, you can access the latest advancements in AI without the burden of complicated setups.
Experience It Yourself
At NVIDIA GTC 2025, you’ll get to step into a system that represents the current pinnacle of edge AI capabilities. The combination of Latent AI’s optimization technology, Dell Pro Max AI PCs, and NVIDIA RTX 6000 Ada Generation GPUs creates an experience that feels like stepping into a professional athletic training facility.
Latent AI’s LEIP Optimize gets the most out of your hardware by transforming AI workloads to best suit your setup. This eliminates the need for complex cloud computing resources while enabling AI functionality even without internet connectivity. Offshore oil rigs, material mining sites, and other off-grid environments use LEIP to bring AI to places where cloud connections could introduce critical safety concerns. Learn more about how Latent AI enhances computing at the edge by following this link.
Visit us at NVIDIA GTC 2025 at the Dell booth #1423 to check out several exciting demos. If you’re interested in learning more about Dell Pro Max AI PCs with NVIDIA RTX GPUs, click here to explore how our high-performance PCs are engineered for unmatched performance.
