SambaNova Systems’ Post

Can’t be more proud on this amazing achievement in less than a week - BF16 llama3.1 405B on 16 chips running at world record 114 tokens/s! This showcases the huge advantages of reconfigurable dataflow architecture and the power of software/hardware codesign with Sambaflow and SN40 RDU. Team - Keep pushing and let the data flow! Try it out at fast.snova.ai

The new Llama 3.1 405B model was released by Meta just last week, and SambaNova Systems has already set a world performance record of 114 tokens per second, verified by Artificial Analysis 🌎⚡ SambaNova’s industry-leading speed, delivered on its RDU chips, reduces trade-offs between quality, size, and efficiency. This achievement unlocks a new set of enterprise use cases for SambaNova unavailable to any other platform: intelligent document processing, real-time GPT Copilots, Explainable AI, and Agentic AI Automation. Learn more below.  #GPT #AI #Enterprise

Less than a week after launch! I always say we are leading from the front @ SambaNova Systems. but dont take my word for it. 🚀 World record performance: SambaNova is running Llama 3.1 405B at 114 t/s with full precision accuracy, in only one rack. Verified by Artificial Analysis! 🦙 #RDU #ai #enterpriseai

Finally ran the Llama 3.2 (quantized version) locally! 🤖 It's great to see the efficiency of the quantized model in action. Excited to dive deeper into more #GenerativeAI projects! #MetaLlamA

🚀 Exciting developments in #AI and #GraphTechnology! Discover how GraphRAG Agent with Neo4j & Milvus revolutionizes data handling! From enhanced scalability to improved insights, this integration is set to transform your projects. "This approach merges Neo4j and Milvus to enhance traditional Retrieval Augmented Generation systems, offering more accurate and nuanced answers to complex queries." Dive into the full story on Neo4j's developer blog now: [Read more] https://lnkd.in/eNz3C_Zu 🌐🔍 #TechInnovation #DataScience #Neo4j #Milvus

🚀 Exciting developments in #AI and #GraphTechnology! Discover how GraphRAG Agent with Neo4j & Milvus revolutionizes data handling! From enhanced scalability to improved insights, this integration is set to transform your projects. "This approach merges Neo4j and Milvus to enhance traditional Retrieval Augmented Generation systems, offering more accurate and nuanced answers to complex queries." Dive into the full story on Neo4j's developer blog now: [Read more] https://lnkd.in/ejc9tcaD 🌐🔍 #TechInnovation #DataScience #Neo4j #Milvus

Ultralytics now supports YOLOv9 models 🔥🔥🔥 New Features 😍 ✅ Introduces programmable gradient information (PGI) and generalized efficient layer aggregation network (GELAN) techniques. ✅ Demonstrates remarkable improvements in efficiency, accuracy, and adaptability. ✅ Showcases the collaborative spirit of the AI research community. Core Innovations 😻 🚀 Information bottleneck principle 🚀 Reversible functions 🚀 Impact on lightweight models 🚀 Programmable gradient information (PGI) 🚀 Generalized efficient layer aggregation network (GELAN) Learn more ➡️ https://lnkd.in/eJzW2MQD Start with the provided code snippet in the image 👇 #computervision #objectdetection #yolov9 #ultralytics #researchanddevelopment

Seven Key GenAI Areas To Consider In 2024 http://dlvr.it/T6KGBV

Check out what we learnt today in our Wednesday Tech Bytes 👇 #techsession #wednesdaythoughts #artificialintelligence #generativeai

Don't miss the opportunity today to meet Dr Vishnu Vardhan, founder of SML and Vizzhy, and CEO of Hanooman, at the AI webinar "𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐧 𝐋𝐋𝐌 𝐀𝐩𝐩𝐬". He will be joined by other industry experts Gaurav Agarwal, Founder & CEO, RagaAI Inc and Jigar Gupta, Product Head, RagaAI Inc. Key discussion points: 1. Gain insights on the large-scale deployment of hanooman.ai. 2. Improve output of your models using feedback from users. 3. Improving response-time of the model by hardware and software optimizations. 4. Learning from large-scale deployment to optimise the GPU utilisation. To join the webinar, click on the link below: https://lnkd.in/dWqP-e-5 Dr Vishnu Vardhan | Harsha Vardhini , Pogunul Srinivasalu | Kalyan Chakravarthy Pogunul Srinivasalu | Dinesh Prasanna | Dr Satheesh Kumar Reddy Chinnapapagari