Microsoft vs Samsung Electronics

Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.

Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.

Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.

Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.

Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.

NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.

End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.

Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.

Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.

Real-time and batch text translation API supporting 100+ languages.

Image analysis, OCR, spatial analysis and face detection as an Azure API service.

Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.

Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.

Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.

Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.

AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.

Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.

Agentic feature of Microsoft 365 Copilot that plans and executes multi-step, multi-app tasks end-to-end and returns a finished deliverable rather than a draft.

Low-code platform for building, connecting and publishing custom conversational and autonomous AI agents across Microsoft 365, the web and business channels.

Coding assistant and agent inside the editor, the CLI and GitHub itself.

Azure's platform for building, evaluating and deploying model-based applications and agents.

Enterprise retrieval service providing hybrid keyword and vector search plus RAG grounding over an organisation's own data, also surfaced inside Microsoft Foundry as Foundry IQ.

A foundry service bundling advanced process nodes (5nm to 2nm GAA), 2.5D/3D chiplet packaging, custom-HBM logic-memory integration and co-packaged optics for customers designing AI SoCs and chiplet platforms.

DRAM-based CXL memory expansion module (MD220 and MD310 variants) enabling memory capacity and bandwidth pooling for AI, HPC and in-memory database workloads.

Enterprise NVMe and SATA SSD line (PM9D3a, PM9A3, PM893a, PM893, PM897a, PM897) that Samsung markets for reducing AI training and inference data-loading time.

Graphics DRAM delivering up to 40 Gbps per pin and up to 24Gb density via PAM3 signaling, for graphics, AI inference acceleration and autonomous-driving sensor fusion workloads.

Third-generation High Bandwidth Memory delivering up to 819 GB/s bandwidth and 24GB capacity for AI accelerators and datacenter systems.

HBM3E in a 12-layer stack offering up to 1,180 GB/s bandwidth and 36GB capacity, in mass production for AI, datacenter and supercomputer applications.

HBM4 with 2,048 I/O pins, up to 3,300 GB/s bandwidth and 1c DRAM on a 4nm base die, positioned for AI accelerators and datacenter systems.