Can IBM Ecosystem Advance AI Chip Performance 1000x?
By Sally Ward-Foxton, EETimes (December 3, 2020)
As the AI hardware landscape starts to become more clearly defined, we are seeing three main paradigms. Some of the chip industry big hitters are adapting their existing compute architectures for AI accelerators (Intel, Nvidia). Then we have the big data center players (Amazon, Google) who are throwing money at the problem and developing their own accelerator architectures, but keeping them for their own use. And finally we have the startups: around 70 at last count, working on novel compute architectures for every AI niche from the data center to the IoT.
The running theme is the siloed approach; all the companies are battling it out as individuals. Can any single company, even one as large as Intel or Google, achieve the kind of phenomenal performance gains required by cutting-edge, rapidly developing AI algorithms?
Enter IBM, with an interdisciplinary approach to advancing AI hardware like nothing we’ve seen so far in this space. The company has set up an organization, the AI Hardware Center, based in IBM Research’s lab in Albany, New York, and is building an ecosystem of partners to work together on IBM’s goal.
E-mail This Article | Printer-Friendly Page |
Related News
- Synopsys Helps Advance IBM's Vision of 1,000 Times Improvement in AI Compute Performance during the Coming Decade
- Server Processors in the AI Era: Can They Go Greener?
- Can AI Design a Better Chip Than a Human?
- StarIC and GlobalFoundries announce strategic partnership, release high-Speed TIA and drivers to advance silicon photonics ecosystem
- Europe Leaps Ahead in Global AI Arms Race, Joining $20 Million Investment in NeuReality to Advance Affordable, Carbon-Neutral AI Data Centers
Breaking News
- Credo at TSMC 2024 North America Technology Symposium
- Cadence Reports First Quarter 2024 Financial Results
- Rambus Advances AI 2.0 with GDDR7 Memory Controller IP
- Faraday Reports First Quarter 2024 Results
- RAAAM Memory Technologies Closes $4M Seed Round to Commercialize Super Cost Effective On-Chip Memory Solutions
Most Popular
- GUC provides 3DIC ASIC total service package to AI/HPC/Networking customers
- Omni Design Technologies Joins Intel Foundry Accelerator IP Alliance
- Faraday Partners with Arm to Innovate AI-driven Vehicle ASICs
- Semiconductor Capacity Is Up, But Mind the Talent Gap
- Efabless Announces the Release of the OpenLane 2 Development Platform, Transforming Custom Silicon Design Flows