Happening Now
Friday, February 28- NVIDIA Highlights Agentic AI Innovations at GTC 2025
- Anthropic Partners with US National Labs for 1,000 Scientist AI Research Jam
- Microsoft Expands Azure AI Foundry with GPT-4.5, New Tools, and Enterprise AI Features
- NCSA-Powered AI Research Targets Corrosion Detection in Critical Infrastructure
- CASC Condemns Mass Firing of Science Agency Employees, Urges Preservation of US Scientific Leadership
- IBM Completes Acquisition of HashiCorp, Creates Comprehensive, End-to-End Hybrid Cloud Platform
- Snowflake Opens Silicon Valley AI Hub, Commits $200M to Startups
- EyePop.ai Partners with Qualcomm AI Hub to Simplify Computer Vision Deployment
- NVIDIA Announces Financial Results for 4th Quarter and Fiscal 2025
- CalypsoAI Unveils AI Security Leaderboard, Benchmarking Model Risk
- Infosys Launches Open-Source Responsible AI Toolkit
- Fortanix Expands Encryption Platform with NIST’s Post-Quantum Cryptography Standards
- ORNL Outlines Road Map for AI-Driven Autonomous Research Labs
- Qlik Study: 94% of Businesses Boost AI Investment, But Only 21% Have Fully Operationalized It
- IBM Expands Granite LLM Family with New Multi-Modal and Reasoning AI Built for the Enterprise
- AMI Expands AI and GPU Management in Data Center Manager v6.0
- Red Hat Enhances Security and Virtualization Experience with Latest Version of Red Hat OpenShift
- Deutsche Telekom and Google Cloud Partner on Agentic AI for Autonomous Networks
- Cisco Expands Partnership with NVIDIA to Accelerate Enterprise AI Adoption
- IBM to Acquire DataStax to Enhance watsonx for GenAI and Unstructured Data
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Contributors
Tiffany TraderEditorial DirectorJamie HamptonManaging EditorKevin JacksonContributing EditorJohn RussellContributing EditorAlex WoodieContributing EditorDouglas EadlineContributing EditorAli AzharContributing EditorDrew JollyAssistant Editor
Author Archives: Tiffany Trader
Tiffany Trader
With over a decade’s experience covering the HPC space, Tiffany Trader is one of the preeminent voices reporting on advanced scale computing today.Cray Moves to Acquire the Seagate ClusterStor Line
July 28th, 2017 Comments Off on Cray Moves to Acquire the Seagate ClusterStor Line
This week Cray announced that it is picking up Seagate's ClusterStor HPC array business for an undisclosed sum as part of a "strategic deal and partnership." "In short we're effectively transitioning the bulk of the ClusterStor product line to ...
Mellanox Raises SHIELD for Enhanced Network Resiliency
June 15th, 2017 Comments Off on Mellanox Raises SHIELD for Enhanced Network Resiliency
High-performance networking company Mellanox is announcing a new protocol it’s calling SHIELD, an acronym for “Self Healing Interconnect Enhancement for inteLligent Datacenters.” Enabled within Mellanox’s 100G EDR and 200G HDR InfiniBand solutions, SHIELD improves the ability for switches to ...
Nvidia Shares Recipe to Accelerate AI Cloud Adoption
May 31st, 2017 Comments Off on Nvidia Shares Recipe to Accelerate AI Cloud Adoption
In March, Nvidia revealed blueprints for a new open source Tesla GPU-based accelerator – HGX-1 – developed for clouds with Microsoft under its Project Olympus. Turns out HGX-1 was actually the first embodiment of Nvidia’s HGX reference architecture and partner ...
Nvidia’s Mammoth Volta GPU Aims High for AI, HPC
May 11th, 2017 Comments Off on Nvidia’s Mammoth Volta GPU Aims High for AI, HPC
At Nvidia’s GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company’s much-anticipated Volta architecture and flagship high-end GPU, the Tesla V100, noting that it took several thousand engineers several years to create, at an ...
Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize
April 18th, 2017 Comments Off on Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize
From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Caffe2’s ...
Knights Landing Processor with Omni-Path Makes Cloud Debut
April 18th, 2017 Comments Off on Knights Landing Processor with Omni-Path Makes Cloud Debut
HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi “Knights Landing” processors. The infrastructure is based on the 68-core Knights Landing chip with integrated Omni-Path fabric ...
Nvidia Responds to Google TPU Benchmarking
April 11th, 2017 Comments Off on Nvidia Responds to Google TPU Benchmarking
Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia’s K80 GPU (see our coverage, Google Pulls Back the Covers on Its First Machine Learning Chip), and it didn’t take ...
Google Pulls Back the Covers on Its First Machine Learning Chip
April 7th, 2017 Comments Off on Google Pulls Back the Covers on Its First Machine Learning Chip
This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference phase of neural networks (NN). Google has been using the machine learning accelerator in its datacenters since ...
IBM Bare Metal Cloud Targets AI with New P100 GPUs
April 5th, 2017 Comments Off on IBM Bare Metal Cloud Targets AI with New P100 GPUs
IBM announced today that it will be adding Nvidia P100 graphics processors to its Bluemix cloud later this month, becoming the "first major global cloud vendor" to provide the high-end "Pascal" GPUs. Big Blue is targeting the new hardware at ...
Data-Hungry Algorithms and the Thirst for AI
March 29th, 2017 Comments Off on Data-Hungry Algorithms and the Thirst for AI
At Tabor Communications’ Leverage Big Data + EnterpriseHPC Summit in Florida last week, esteemed HPC professional Jay Boisseau, chief HPC technology strategist at Dell EMC, engaged the audience with his presentation, “Big Computing, Big Data, Big Trends, Big Results.” ...