Observed Signal · Dec 12, 2024 · Technical Release · Source: Trending Topics · Impact: 2/5 · Sentiment: Positive
NXAI launches small AI model xLSTM 7B, touts energy efficiency and speed
At the NeurIPS conference in Vancouver, Austrian AI startup NXAI, led by AI researcher Sepp Hochreiter, unveiled its xLSTM 7B language model. With 7 billion parameters, the model belongs to the top class of 7B models and is benchmarked against Meta's Llama 3.1 8B, Google's Gemma 2 9B, and Mamba 2. NXAI describes xLSTM 7B as the best non-Transformer language model and the most energy-efficient in the LLM world, with fast inference suited for edge and embedded deployments that operate without cloud data centers. The xLSTM architecture, first shown in May 2024, is now available via GitHub, and a pre-trained model is on Hugging Face for fine-tuning. NXAI aims to establish a European counterpoint to the Transformer architecture, which originated from Google research and dominates AI models from OpenAI, Anthropic, Google, Meta, xAI, and Amazon.
Release of xLSTM 7B, a novel energy-efficient non-Transformer LLM architecture from European startup NXAI; relevant as AI infrastructure technology but with limited immediate impact on AdTech/MarTech operations.
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Key Takeaways & Evidence Grounding
- Austrian AI startup NXAI unveiled the xLSTM 7B language model at the NeurIPS conference in Vancouver on December 11, 2024.
- xLSTM 7B has 7 billion parameters and is benchmarked against Llama 3.1 8B, Gemma 2 9B, and Mamba 2.
- NXAI claims xLSTM 7B is the most energy-efficient LLM with fast inference, targeting edge and embedded applications.
- The xLSTM architecture is available on GitHub; a pre-trained model is offered on Hugging Face for fine-tuning.
- Sepp Hochreiter serves as Chief Scientist at NXAI and teaches at JKU Linz.
Connected Companies & Entities
6 Entities mapped“In benchmarks, xLSTM 7B is compared with Llama 3.1 8B from Meta, Gemma 2 9B from Google, and Mamba 2....”
“In benchmarks, xLSTM 7B is compared with Llama 3.1 8B from Meta, Gemma 2 9B from Google, and Mamba 2; the Transformer architecture originall...”
“The Austrian startup wants to set a European counterpoint to the Transformer architecture, which is widely used by OpenAI, Anthropic, Google...”
“The Austrian startup wants to set a European counterpoint to the Transformer architecture, which is widely used by OpenAI, Anthropic, Google...”
“The Austrian startup wants to set a European counterpoint to the Transformer architecture, which is widely used by OpenAI, Anthropic, Google...”
Ontology Mapping & Concepts
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