Obscure startup wins prestigious CES 2024 award — you’ve probably never heard of it, but Panmnesia is the company that could make ChatGPT 6 (or 7) times faster
The highly coveted Innovation Award at the forthcoming Consumer Electronics Show (CES) 2024 event in January has been snapped up by a Korean startup for its AI accelerator.
Panmnesia has built its AI accelerator device on Compute Express Link (CXL) 3.0 technology, which allows an external memory pool to be shared with host computers, and components like the CPU, which can translate to near-limitless memory capacity. This is thanks to the incorporation of a CXL 3.0 controller into the accelerator chip.
CXL is used to connect system devices – including accelerators, memory expanders, processors, and switches. By linking up multiple accelerators and memory expanders using CXL switches, the technology can provide enough memory to an intensive system for AI applications.
What CXL 3.0 means for LLMs
The use of CXL 2.0 in devices like this would allow particular hosts access to their dedicated portion of pooled external memory, while the latest generation allows hosts to access the entire pool as and when needed.
“We believe that our CXL technology will be a cornerstone for next-generation AI acceleration system,” said Panmesia founder and CEO Myoungsoo Jung in a statement.
“We remain committed to our endeavor revolutionizing not only for AI acceleration system, but also other general-purpose environments such as data centers, cloud computing, and high-performance computing.”
Panmnesia’s technology works akin to how clusters of servers may share external SSDs to store data, and would be particularly useful for servers because they’ll often need to access more data that they can hold in the memory that’s in-built.
This device is built specifically for large-scale AI applications – and its creators claim it’s 101 times faster at performing AI-based search functions than conventional services, which use SSDs to store data, linked via networks. The architecture also minimizes energy costs and operational expenditure.
If used in the configuration of servers that the likes of OpenAI use to host its large language models (LLMs) such as ChatGPT, alongside hardware from other suppliers, it might drastically improve the performance of these models.
More from TechRadar Pro
The highly coveted Innovation Award at the forthcoming Consumer Electronics Show (CES) 2024 event in January has been snapped up by a Korean startup for its AI accelerator. Panmnesia has built its AI accelerator device on Compute Express Link (CXL) 3.0 technology, which allows an external memory pool to be…
Recent Posts
- Amazon’s new plan for games: James Bond and AI Snoop Dogg
- How to watch France vs Ivory Coast: FREE streams, TV channels for World Cup 2026 warm-up
- Marshall Milton ANC review: Making the rare case for premium on-ear headphones
- Belkin’s new Joy-Con grips also boost the Switch 2’s battery life
- How to watch Spain vs Iraq: Free Streams & TV Channels for World Cup 2026 warm-up match
Archives
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023