Big Tech AI Divisions
NVIDIA
NVIDIA designs the GPUs that power the training and inference of every frontier foundation model in 2026. The H100 and H200 Hopper-architecture GPUs and the Blackwell B100/B200 generation are the de-facto hardware substrate for AI workloads. NVIDIA also ships CUDA, cuDNN, TensorRT, the NeMo framework for large-language-model fine-tuning, and Triton Inference Server. Per NVIDIA's fiscal-Q2-2025 earnings report (August 2024), data-center revenue (driven by AI) reached $26.3 billion in a single quarter.
Why this matters in 2026
NVIDIA's $26.3 billion data-center revenue in a single quarter (FY2025 Q2, August 2024) confirmed AI hardware as the largest revenue category in semiconductors. Every Applied AI compensation comparison in 2025 has to account for NVIDIA's seniors and staff levels resetting market prices upward.
Products
- H100 / H200 / B100 / B200 data-center GPUs
- CUDA toolkit
- cuDNN deep-learning library
- TensorRT inference optimizer
- NeMo (LLM fine-tuning framework)
- Triton Inference Server
- NVIDIA AI Enterprise (commercial software suite)
- DGX Cloud (managed AI training)
Primary focus
GPU hardware plus CUDA / NeMo / Triton software stack for AI training and inference
Applied AI roles NVIDIA typically hires
DecipherU Files featuring NVIDIA
DecipherU is not affiliated with, endorsed by, or sponsored by any company listed in this directory. Information compiled from publicly available sources for educational purposes.
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