Yasp Secures $5 Million to Advance AI Model Optimization
Yasp, a German DeepTech startup, has successfully closed a $5 million seed funding round led by Capnamic, announced on their website. The funding will support the development of Yasp's Agentic AI Compiler, a technology designed to accelerate AI model training and inference, with a market launch planned for the end of 2025.
The Agentic AI Compiler aims to address the growing bottleneck in AI development by simplifying the process of model training and deployment. It integrates seamlessly with popular frameworks like PyTorch, allowing developers to optimize AI models for specific hardware with just a single API call. This approach eliminates the need for developers to rewrite complex models, offering a significant improvement over traditional runtime compilation.
Yasp plans to use the funds to accelerate product development, expand support for additional hardware platforms, and deepen integrations with widely used AI development tools. With offices in Munich and Montreal, the company is poised to help developers and enterprises unlock new possibilities in AI innovation while controlling costs.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 2 Broadcom Agrees to Lend Anthropic Up to $42 Billion Oct 2 PaleBlueDot AI Raises $200 Million at $3.2 Billion Valuation Oct 2 Photon Raises $4.5 Million for Messaging Based AI Agents Oct 1 Satlyt Raises $8 Million for Satellite AI Software Oct 1 Clio Acquires Judicial AI Provider Learned HandAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Zeit AI raises €5 million for autonomous data engineering agent
AI Score Raises $5.4 Million for AI Governance Platform
Enigmata Raises $6.5 Million for Encrypted AI Data Technology
Apex Intelligence Raises Nearly $50 Million for Self Improving AI Models
Expanse Raises $5.3 Million for AI Compute Planning Software
Daily AI Brief: the AI news that matters, in your inbox.