• Home
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Subscribe to Daily Newsletter
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Wednesday, April 29, 2026
  • Home
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Subscribe to Daily Newsletter
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » Ampere targets 256-core CPU

Ampere targets 256-core CPU

May 21, 2024
in Semiconductors
A A

Ampere Computing has released its annual update, showcasing the company’s commitment to sustainable, power-efficient computing for the Cloud and AI sectors. The announcement included a collaboration with Qualcomm Technologies, Inc. to develop a joint AI inferencing solution. This solution will leverage Qualcomm’s high-performance, low-power Qualcomm Cloud AI 100 inference solutions alongside Ampere’s CPUs, aiming to deliver robust AI inferencing capabilities.

Renee James, CEO of Ampere, emphasized the growing importance of Ampere’s silicon design, particularly in addressing the increasing power demands of AI. She highlighted that Ampere’s approach has successfully combined low power consumption with high performance, challenging the traditional notion that low power equates to low performance. James pointed out that as AI continues to advance rapidly, the energy consumption of data centers becomes a critical issue, and Ampere’s solutions are designed to address this by enhancing efficiency and performance without compromising sustainability.

Jeff Wittich, Chief Product Officer at Ampere, outlined the company’s vision for “AI Compute,” which integrates traditional cloud-native capabilities with AI. He noted that Ampere CPUs are versatile enough to handle a range of workloads, from data processing and web serving to media delivery and AI applications. Both James and Wittich introduced the upcoming AmpereOne® platform, featuring a 12-channel 256-core CPU built on the N3 process node, which promises to significantly boost performance.

Key Highlights from Ampere’s Update:

  • Collaboration with Qualcomm Technologies to develop a joint AI inferencing solution featuring Ampere CPUs and Qualcomm Cloud AI 100 Ultra.
  • Expansion of Ampere’s 12-channel platform with a 256-core AmpereOne CPU, delivering over 40% more performance than current market CPUs without requiring exotic cooling solutions.
  • Meta’s Llama 3 is now running on Ampere CPUs at Oracle Cloud, showing comparable performance to an Nvidia A10 GPU with a third of the power consumption.
  • Formation of a UCIe working group as part of the AI Platform Alliance to enhance CPU flexibility through open interface technology.
  • Detailed performance updates on AmpereOne, which outpaces AMD Genoa by 50% and Bergamo by 15%, offering significant performance per watt advantages. AmpereOne platform provides up to 34% more performance per rack, aiding data centers in refreshing and consolidating infrastructure to save space, budget, and power. Continued emphasis on sustainable data center infrastructure with solutions for retrofitting existing air-cooled environments and building new, environmentally sustainable data centers.
  • Ampere CPUs capable of running a wide range of workloads, from cloud-native applications to AI, integrating seamlessly with traditional applications. Ampere’s ongoing commitment to pioneering the efficiency frontier in computing, delivering high performance within an efficient computing envelope.

false

ShareTweetShare
Previous Post

Dell’Oro: RAN Market Still a Disaster

Next Post

Dell’Oro: Mobile Core Network market under stress

Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

Related Posts

Cisco, G42, and AMD to Build AI Infrastructure in the UAE
AI Infrastructure

DigitalBridge Teams with KT for AI Data Centers in Korea

November 26, 2025
BerryComm Expands Central Indiana Fiber with Nokia
5G / 6G / Wi-Fi

Telefónica Germany Awards Nokia a 5-Year RAN Modernization Deal

November 26, 2025
AMD’s Compute + Pensando Network Architecture Powers Zyphra’s AI 
AI Infrastructure

AMD’s Compute + Pensando Network Architecture Powers Zyphra’s AI 

November 25, 2025
Bleu, the “Cloud de Confiance” from Capgemini and Orange
Clouds and Carriers

Orange Business Begins Migration of 70% of IT Infrastructure to Bleu Cloud

November 25, 2025
Dell’s server and networking sales rise 16% yoy
Financials

Dell Raises FY26 AI Infrastructure Outlook as AI Server Shipments Surge 150%

November 25, 2025
GlobalFoundries acquires Tagore Technology’s GaN IP
Optical

GlobalFoundries Acquires InfiniLink for Silicon-Photonics Expertise

November 25, 2025
Next Post
Dell’Oro: Wireless LAN revenues defy ongoing supply problems in Q3

Dell'Oro: Mobile Core Network market under stress

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
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Subscribe to Daily Newsletter
  • NextGenInfra.io

© 2025 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Subscribe to Daily Newsletter
  • NextGenInfra.io

© 2025 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