Releases

Palantir introduced FedStart to help software vendors reach government customers through accredited infrastructure and deployment support.

Cohere began offering enterprise model deployment within customer-controlled cloud and on-premises environments.

Cohere launched a free educational curriculum covering large language models, embeddings and semantic search.

Cohere established its open-science research initiative, now known as Cohere Labs, to support collaborative machine-learning research.

Palantir unveiled MetaConstellation, a satellite-tasking and geospatial intelligence capability that coordinates space-based data with AI.

AWS introduced a no-code visual interface for generating machine-learning predictions.

Oracle introduced a portfolio of managed AI APIs spanning language, speech, vision, anomaly detection and forecasting.

Microsoft introduces Azure OpenAI Service, providing managed access to OpenAI models through Azure's enterprise cloud controls.

Scale moved Rapid into general availability for fast labeling experiments without data minimums.

Hugging Face launched Spaces with native Gradio support, allowing community members to host interactive machine-learning demos on the Hub.

Cohere provided a browser playground for testing its hosted language models and generation settings.

NVIDIA made its AI Enterprise software suite generally available.

The Telum announcement established a new generation of IBM infrastructure with integrated AI acceleration.

IBM unveiled Telum with on-chip AI acceleration for high-volume transactional inference.

Baidu said its second-generation Kunlun AI chip had entered mass production.

DeepMind and EMBL-EBI launch a freely accessible database of AlphaFold protein structure predictions.

GitHub launches Copilot in technical preview as an AI pair programmer that suggests code inside the editor.

NVIDIA made Fleet Command generally available for centrally deploying and managing edge AI applications.

NVIDIA launched a hosted enterprise program offering immediate access to its end-to-end AI infrastructure and software stack.

Hugging Face launched AutoTrain to automate model training and fine-tuning from user-provided datasets.

Databricks introduced a managed Feature Store integrated with Delta Lake, MLflow and model serving.

Databricks introduced Unity Catalog as a unified governance layer for data and AI assets across clouds.

Databricks introduced AutoML to automatically train models while generating editable notebooks.

Google announces fourth-generation TPU pods for large-scale machine-learning training.

Google Cloud launches Vertex AI as a unified platform for building, deploying and operating ML models.

Hugging Face introduced a paid individual plan with expanded private, storage, and compute capabilities on the Hub.

NVIDIA introduced Morpheus for real-time AI-assisted threat detection using GPUs and BlueField DPUs.

NVIDIA introduced Base Command to provision, schedule and operate shared DGX SuperPOD AI infrastructure.

NVIDIA announced an enterprise software suite for virtualized AI workloads on VMware vSphere.

NVIDIA opened the Omniverse collaboration and simulation platform to beta users.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.

AWS introduced pretrained models and solution templates to accelerate machine-learning deployment.

NVIDIA introduced a deskside AI system with four A100 GPUs for workgroups.

NVIDIA doubled A100 accelerator memory to 80GB using HBM2e.

Baidu opened Apollo Go autonomous ride-hailing to public users in Beijing.

NVIDIA introduced Maxine, a cloud-native suite of GPU-accelerated AI video-conferencing and streaming software.

Scale released the core Nucleus workspace for dataset visualization, search, curation, collaboration, and model-error analysis.

Scale launched Nucleus as a dataset-management and model-debugging workspace for visualizing, curating, searching, and collaborating on machine-learning data.

Scale introduced a self-serve, pay-as-you-go product for receiving production-quality labels and instruction feedback in as little as one hour.

Scale launched a mapping product for computer-vision and autonomous path-planning workflows.

Hugging Face began its hosted inference platform with a serverless API for models on the Hub, later expanding into dedicated endpoints and provider routing.

Hugging Face launched hosted dataset repositories alongside its Datasets library, creating a shared catalog for reusable machine-learning data.

NVIDIA began shipping DGX A100, an integrated 5-petaflop AI system with eight A100 GPUs.

NVIDIA launched the A100 Tensor Core GPU, its first Ampere data-center accelerator for training and inference.