Type a name, or just describe what you need. Results blend keyword and meaning-based search. 9 matches, each with an EU availability status.
Research · METR
METR report assessing how much AI is accelerating AI R&D inside Anthropic, based on high-access review (October 2026).
Hardware · Google
Google's custom AI accelerators, offered through Google Cloud for training and inference of machine learning models.
Hardware · OpenAI
OpenAI's in-house AI accelerator chip, developed to lower the cost of training and running its models; not publicly available.
OpenAI's custom in-house AI accelerator chip, codenamed Jalapeño, discussed in industry analysis.
Google's eighth-generation TPU for large-scale AI pre-training, scaling to 9,600 chips per superpod.
Google's eighth-generation Cloud TPU for post-training and low-latency inference of large MoE models.
Custom AI inference chip announced by OpenAI and Broadcom, built to serve ChatGPT-style workloads faster and cheaper.
Library
ComfyUI custom node that speeds up MiniMax H3 audio-video sampling by forecasting skipped transformer steps.
Training-free staged sampling method that speeds up pretrained flow-matching text-to-image diffusion models.
