The team continues to refine our core infrastructure and boost performance across Gemma3 / zkML Interface key modules. Here’s a quick look at what’s been built and improved this week.
2/
Gemma3 Performance: Quantized Gemma3 model currently includes nearly 10 000 nodes; kernelized execution shows limited performance due to excessive node granularity.
3/
Gemma3 Refactor: Analyzed model structure and found most nodes are shape-related and redundant—potentially removable. In the ideal case, over 90 % of nodes can be eliminated.
4/
zkML Iface Latency Optimization: Refactored zkmlface codebase, cutting inference latency down to tens of milliseconds. The interface is not yet connected to the TEE environment.
5/
Next Steps:
Deploy the optimized zkmlface on a GPU TEE-enabled machine once available.
Compile the pruned Gemma3 graph into high-efficiency GPU kernels for integration testing.
Stay tuned for more updates
3.02K
19
The content on this page is provided by third parties. Unless otherwise stated, OKX is not the author of the cited article(s) and does not claim any copyright in the materials. The content is provided for informational purposes only and does not represent the views of OKX. It is not intended to be an endorsement of any kind and should not be considered investment advice or a solicitation to buy or sell digital assets. To the extent generative AI is utilized to provide summaries or other information, such AI generated content may be inaccurate or inconsistent. Please read the linked article for more details and information. OKX is not responsible for content hosted on third party sites. Digital asset holdings, including stablecoins and NFTs, involve a high degree of risk and can fluctuate greatly. You should carefully consider whether trading or holding digital assets is suitable for you in light of your financial condition.