A web application for parsing GGUF files.
Running GenAI models is easy. Scaling them to thousands of users, not so much. This guide details avenues for scaling AI workloads from proofs of concept to production-ready deployments, covering API integration, on-prem deployment considerations, hardware requirements, and tools like vLLM and Nvidia NIMs.
A user is seeking advice on deploying a new server with 4x H100 GPUs (320GB VRAM) for on-premise AI workloads. They are considering a Kubernetes-based deployment with RKE2, Nvidia GPU Operator, and tools like vLLM, llama.cpp, and Litellm. They are also exploring the option of GPU pass-through with a hypervisor. The post details their current infrastructure and asks for potential gotchas or best practices.
LocalScore is an open benchmark to evaluate local AI task performance across various hardware configurations, measuring Prompt Processing speed, Token Generation speed, Time-to-First-Token (TTFT), and a combined LocalScore.
NVIDIA DGX Spark is a desktop-friendly AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip, delivering 1000 AI TOPS of performance with 128GB of memory. It is designed for prototyping, fine-tuning, and inference of large AI models.
NVIDIA's Project Aether automates the qualification, testing, configuration, and optimization of Spark workloads for GPU acceleration, enabling enterprises to process data more efficiently and cost-effectively.
Unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, NVIDIA, Raspberry Pi, pretty much any device!
The Hat uPCIty Lite is a PCI Express evaluation board with an open-ended PCIe X4 slot, designed for the Raspberry Pi 5. It supports external power, isolates PCIe Express power delivery to protect the Pi, and is compatible with PCIe x1 interface in Gen2 and Gen3 standards. The board includes all necessary accessories and is built with high-quality components.
Learn how GPU acceleration can significantly speed up JSON processing in Apache Spark, reducing runtime and costs for enterprise data applications.
Learn how to use a spare GPU to create an external graphics card (eGPU) for your laptop or PC gaming handheld, including using prebuilt enclosures, DIY Thunderbolt enclosures, or OCuLink enclosures.
