Explorer
Parcourez toutes les technologies du graphe par type et par catégorie.
Par type
Par catégorie
- Algorithmes 30
- Modèles 16
- Modèles d'embedding 8
- Techniques 35
- Prompting 10
- Frameworks 12
- Frameworks LLM 6
- Bases de données 3
- Bases de données vectorielles 8
- Moteurs de recherche 4
- Infrastructure 15
- MLOps 4
- Évaluation 6
- Matériel 11
- Sécurité et alignement 6
- Applications 7
- Multimodal 5
- Agents IA 4
- Benchmarks 11
- Jeux de données 7
11 technologies shown
- GPU hardware A processor built for massive parallelism, which is what neural network maths needs.
- A100 hardware NVIDIA's datacentre GPU that made large-model training routine.
- NVIDIA CUDA platform NVIDIA's parallel computing platform, the layer most AI software is written against.
- H100 hardware NVIDIA's datacentre GPU that became the default for training large models.
- H200 hardware Refresh of the H100 with substantially more high-bandwidth memory.
- NVLink hardware High-bandwidth interconnect between GPUs, letting them share memory directly.
- Tensor Core hardware Dedicated matrix-multiply units inside NVIDIA GPUs.
- V100 hardware The first NVIDIA GPU with tensor cores, and the one early transformers trained on.
- B200 hardware NVIDIA's Blackwell-generation datacentre GPU.
- TPU hardware Google's purpose-built accelerator for tensor arithmetic.
- MI300X hardware AMD's datacentre accelerator with a large unified memory pool.