• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Thursday, June 4, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » HPE acquires Determined AI

HPE acquires Determined AI

June 21, 2021
in All
A A

Hewlett Packard Enterprise has acquired Determined AI, a start-up based in San Francisco with software stack to train AI models faster using its open source machine learning (ML) platform. Financial terms were not disclosed.

Determined AI was founded in 2017 by Neil Conway, Evan Sparks, and Ameet Talwalkar. It launched its open-source platform in 2020. 

HPE will combine Determined AI’s unique software solution with its AI and high performance computing (HPC) offerings to enable ML engineers to easily implement and train machine learning models to provide faster and more accurate insights from their data in almost every industry.  

“As we enter the Age of Insight, our customers recognize the need to add machine learning to deliver better and faster answers from their data,” said Justin Hotard, senior vice president and general manager, HPC and Mission Critical Solutions (MCS), HPE. “AI-powered technologies will play an increasingly critical role in turning data into readily available, actionable information to fuel this new era. Determined AI’s unique open source platform allows ML engineers to build models faster and deliver business value sooner without having to worry about the underlying infrastructure. I am pleased to welcome the world-class Determined AI team, who share our vision to make AI more accessible for our customers and users, into the HPE family.”

“The Determined AI team is excited to join HPE, who shares our vision to realize the potential of AI,” said Evan Sparks, CEO of Determined AI. “Over the last several years, building AI applications has become extremely compute, data, and communication intensive. By combining with HPE’s industry-leading HPC and AI solutions, we can accelerate our mission to build cutting edge AI applications and significantly expand our customer reach.” 

Tags: #AIBlueprint columnsHPE
ShareTweetShareSummarizeSummarize
Previous Post

Private Mobile Networks resource site

Next Post

Axiata and Telenor advance their Malaysian venture

Staff

Staff

Related Posts

Enterprise

HPE Pushes Agentic AIOps with Self-Driving Network Actions

May 6, 2026
Security

AI-Driven: Security & Autonomous Troubleshooting

March 31, 2026
Security

HPE Rolls Out SRX400 Firewalls and AI Security Stack

March 24, 2026
Enterprise

HPE Brings Edge AI and Fault-Tolerant Core Systems to Retail 

January 12, 2026
Financials

HPE Cites Surging AI Infrastructure Momentum and Networking Growth

December 4, 2025
All

HPE’s New Networking Stack for AI, 102.4T Data Center Switch,  1.6T Edge Router

December 3, 2025
Next Post

Axiata and Telenor advance their Malaysian venture

Please login to join discussion

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version