Artificial intelligence

Ampere Computing Teams Up with Qualcomm to Develop a Solution for AI 

Ampere Computing Teams Up with Qualcomm to Develop a Solution for AI 

Takeaway Points

  • Ampere Computing Teams Up with Qualcomm to Develop a Solution for AI 
  • Ampere Computing today also announced its annual update on upcoming products and milestones, highlighting the company’s continued innovation and invention.
  • Ampere said that the company’s 192-core 12-channel memory platform is still expected later this year, and the new AmpereOne® OEM and ODM platforms would be shipping within a few months. 

Ampere Computing Teams Up with Qualcomm

The Semiconductor Company, Ampere Computing, announced on Thursday that it teamed up with Qualcomm Technologies, Inc. to develop a joint solution for AI inferencing using Qualcomm Technologies’ high-performance, low-power Qualcomm® Cloud AI 100 inference solutions and Ampere CPUs. 

Renee James, Ampere CEO and semiconductor industry veteran, said in a comment that they started Ampere six years ago, and the increase and challenge of AI are bringing Ampere’s silicon design approach around performance and efficiency into more focus than ever.

“The increasing power requirements and energy challenge of AI is bringing Ampere’s silicon design approach around performance and efficiency into focus more than ever. We started down this path six years ago because it is clear it is the right path. Low power used to be synonymous with low performance. Ampere has proven that isn’t true. We have pioneered the efficiency frontier of computing and delivered performance beyond legacy CPUs in an efficient computing envelope,” James said.

James also explained the growing problem of the rapid advance to AI: energy saying “The current path is unsustainable. We believe that the future data center infrastructure has to consider how we retrofit existing air-cooled environments with upgraded compute, as well as build environmentally sustainable new data centers that fit the available power on the grid. That is what we enable at Ampere.”

Chief Product Officer Jeff Wittich said, “Our Ampere CPUs can run a range of workloads – from the most popular cloud native applications to AI. This includes AI integrated with traditional cloud native applications, such as data processing, web serving, media delivery, and more.” 

Other Updates

Ampere Computing today also announced its annual update on upcoming products and milestones, highlighting the company’s continued innovation and invention around sustainable, power-efficient computing for the cloud and AI, the report said

The Semiconductor Company made some announcements, saying: The expansion of Ampere’s 12-channel platform with the company’s upcoming 256 core AmpereOne® CPU. It will utilize the same air-cooled thermal solutions as the existing 192 core AmpereOne® CPU and deliver more than 40% more performance than any CPU on the market today, without exotic platform designs. The company’s 192-core 12-channel memory platform is still expected later this year, and the new AmpereOne® OEM and ODM platforms will be shipping within a few months.

An update that Meta’s Llama 3 is now running on Ampere CPUs at Oracle Cloud. Performance data shows that running Llama 3 on the 128 core Ampere® Altra® CPU with no GPU delivers the same performance as an Nvidia A10 GPU paired with an x86 CPU, all while using a third of the power. Announced a joint solution with NETINT using the company’s Quadra T1U video processing chips and Ampere CPUs to simultaneously transcode 360 live channels along with real-time subtitling for 40 streams across many languages using OpenAI’s Whisper model.

About Ampere

Ampere is a modern semiconductor company designing the future of cloud computing with the world’s first cloud-native processors. Built for the sustainable cloud with the highest performance and best performance per watt, Ampere processors accelerate the delivery of all cloud computing applications. Ampere Cloud Native Processors provide industry-leading cloud performance, power efficiency and scalability. 

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