Type a name, or just describe what you need. Results blend keyword and meaning-based search. 14 matches, each with an EU availability status.
Hardware · OpenAI
OpenAI's in-house AI accelerator chip, developed to lower the cost of training and running its models; not publicly available.
Hardware · Cerebras
Wafer-scale AI chips (CS-series) and a cloud inference API serving open models at high token speeds.
OpenAI's custom in-house AI accelerator chip, codenamed Jalapeño, discussed in industry analysis.
Custom AI inference chip announced by OpenAI and Broadcom, built to serve ChatGPT-style workloads faster and cheaper.
Hardware · Apple
Apple's M6 and M5 Ultra chips for Mac mini and Mac Studio, with up to 512 GB unified memory for AI workloads.
Hardware · Google
Google's eighth-generation TPU for large-scale AI pre-training, scaling to 9,600 chips per superpod.
Hardware · Groq
Inference provider built on its custom LPU chips, offering fast LLM inference via cloud API (GroqCloud) and dedicated capacity.
Apple's compact desktop workstation with M5 Max or M5 Ultra chips and up to 512GB unified memory for local AI and pro work.
Google's custom AI accelerators, offered through Google Cloud for training and inference of machine learning models.
Apple's 2026 flagship smartphones with A20 Pro chip, variable-aperture camera system and iOS 27 with Apple Intelligence.
Apple's first foldable iPhone, with two displays, an A20 Pro chip and Apple Intelligence on iOS 27.1.
Research · Google
Google Quantum AI research demonstrating magic state cultivation for error-corrected computing on its Willow chip.
Hardware · IBM
IBM Research's 0.7 nm (7 angstrom) chip technology using a 3D "nanostack" transistor architecture, announced June 2026.
Hardware · Microsoft
Microsoft's second-generation topological quantum chip with a lead-based materials stack, developed with Microsoft Discovery.
