Intelligent application development startup Clarifai Inc. said today it’s expanding its artificial intelligence compute capabilities with the launch of a new compute orchestration platform that spans ...

We believe today’s so-called modern data stack, as currently envisioned, will be challenged by emerging use cases and artificial intelligence-infused apps that begin to represent the real world, in ...

Hewlett Packard Enterprise just unveiled the 12th generation of its ProLiant server platform, which the company says focuses on delivering security, manageability, operational and power efficiency and ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--d-Matrix, the leader in high-efficiency generative AI compute for data centers, has closed $110 million in a Series-B funding round led by Singapore-based global ...

BILBAO, SPAIN – September 19, 2023 – Today, the Linux Foundation announced the formation of the Unified Acceleration (UXL) Foundation, a cross-industry group focused on delivering an open standard ...

There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. But, as we were ...

ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...

DENVER, Nov. 13, 2023 (GLOBE NEWSWIRE) -- NVIDIA today announced it has supercharged the world’s leading AI computing platform with the introduction of the NVIDIA HGX™ H200. Based on NVIDIA Hopper™ ...

SAN FRANCISCO, Oct. 22, 2025 /PRNewswire/ -- PyTorch Conference – The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, today announced that it has welcomed Ray ...

Google has announced a safer way to use its AI with the Private AI Compute, offering a Gemini-run cloud platform that promises the same security as on-device processing for machine learning needs.

Generative AI applications and ML models are performance-hungry. Today’s workloads — GenAI model training and inferencing, video, image and text data pre- and post-processing, synthetic data ...