Technology
GPU
The Graphics Processing Unit (GPU): a massively parallel processor, purpose-built to accelerate computation for graphics rendering and general-purpose workloads (GPGPU).
A GPU is a specialized electronic circuit designed for concurrent, high-speed mathematical calculations: it excels at parallel processing, unlike a CPU’s serial approach. Modern units, like the NVIDIA H100 or AMD Instinct MI300X, feature thousands of cores and utilize high-bandwidth memory (HBM) to manage immense datasets efficiently. Initially focused on accelerating 3D graphics for gaming (e.g., the GeForce 256, 1999), the GPU’s architecture now dominates compute-intensive fields. Key applications include deep learning (AI/ML) model training, complex scientific simulations, and high-resolution video rendering, reducing processing time from hours to minutes.
What builders pair with GPU
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: Codex
Watch 1 hour highly techincal YouTubes in 5 minutes with AI!
Pairing: dstack
An open-source engine for provisioning AI infrastructure
Pairing: NVIDIA
From Laptop to Supercluster: The New Era of Personal AI Supercomputing
Pairing: OpenAI
Watch 1 hour highly techincal YouTubes in 5 minutes with AI!
Pairing: AGENTS
stress-testing autonomous research agents
Pairing: AI infrastructure
From Laptop to Supercluster: The New Era of Personal AI Supercomputing
Recent Talks & Demos
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