Faster & Cheaper Deep Research on SambaNova Cloud! In partnership with @crewAIInc & by leveraging open source models like @deepseek_ai R1 671B & @AIatMeta
's Llama 3.3 70B, devs can improve the user experience with faster inference! Learn more
COMPUTING
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SambaNova Cloud Accelerates Deep Research with DeepSeek and Llama
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DeepSeek FlashMLA: Revolutionizing LLM Efficiency with 93% Memory Reduction
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New video!! DeepSeek's FlashMLA Explained! DeepSeek’s Game-Changer for LLM Efficiency, cutting KV Cache Memory to 6.7%! (yes, to 6.7% of traditional methods, not by 6.7%!!). Learn more in the video: https://
youtu.be/PTNW3SLP8W8 #flashmla #deepseek #llms -
T-Mobile Business Transforms Industries with 5G AI Automation
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.@TMobileBusiness harnesses 5G, AI, and automation to transform industries, helping businesses operate smarter, safer, and more efficiently using real-time data, predictive insights, and seamless connectivity to fuel innovation.
— Antonio Grasso (@antgrasso) 19 mars 2025
More > https://t.co/d39zGpiNvC#TFBPartner #5G… pic.twitter.com/dRB0kBAYiw.
@TMobileBusiness harnesses 5G, AI, and automation to transform industries, helping businesses operate smarter, safer, and more efficiently using real-time data, predictive insights, and seamless connectivity to fuel innovation. More > https://
t-mo.co/41IW0sO #TFBPartner #5G -
xLSTM 7B: Faster, More Efficient Open-Source LLM Alternative
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If you want faster and more efficient LLMs, Transformers might not be your best choice. xLSTM 7B is a new open-source LLM that leverages xLSTM’s architectural advantages with targeted optimizations for speed and efficiency in inference.
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Four Quantum Computer Types Reshaping Technological Future
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4 Game-Changing Quantum Computer Types That Could Transform Everything Dive into the fascinating world of #quantumcomputing as we explore the four major types of #quantum computers reshaping our technological #future. From D-Wave's ground-breaking quantum #annealing to #IBM's
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Jensen Huang Unveils Blackwell Ultra GPU and Robotics Advances
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At GTC 2025, Jensen Huang made several AI and robotics reveals:
— Rowan Cheung (@rowancheung) 19 mars 2025
—Next-gen GPUs: Blackwell Ultra (2025), Vera Rubin (2026), and Feynman (2028)
—GR00T N1 open AI for humanoids
—DGX Spark & DGX Station personal AI computers
—Newton robotics physics enginepic.twitter.com/BJ8YDLKm4hAt GTC 2025, Jensen Huang made several AI and robotics reveals: —Next-gen GPUs: Blackwell Ultra (2025), Vera Rubin (2026), and Feynman (2028)
—GR00T N1 open AI for humanoids
—DGX Spark & DGX Station personal AI computers
—Newton robotics physics engine -
DataRobot NVIDIA GPU-Optimized LLMs Enterprise AI Deployment
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Good afternoon #GTC25! 👋 Stop by booth 2017 to see how DataRobot and @NVIDIA accelerate AI with GPU-optimized LLMs, enterprise-ready tools, and seamless deployment.
— DataRobot (@DataRobot) 18 mars 2025
Schedule a booth demo: https://t.co/putkW7yhbh #AI #agenticAI pic.twitter.com/uuIZostqf2Good afternoon #GTC25! Stop by booth 2017 to see how DataRobot and @NVIDIA accelerate AI with GPU-optimized LLMs, enterprise-ready tools, and seamless deployment. Schedule a booth demo: https://
bit.ly/41yc95m #AI #agenticAI -
NVIDIA Dynamo Implementation Enhances Inference Capabilities and Scaling
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We’re excited to implement @NVIDIA's Dynamo to enhance our inference capabilities.
— Perplexity (@perplexity_ai) 18 mars 2025
Processing hundreds of millions of requests demands exceptional performance and reliability. Dynamo will help us scale efficiently as our models advance. pic.twitter.com/Kk1e9W4xiAWe’re excited to implement @NVIDIA
's Dynamo to enhance our inference capabilities. Processing hundreds of millions of requests demands exceptional performance and reliability. Dynamo will help us scale efficiently as our models advance. -
Dimensional Data Warehouses in Databricks SQL Optimization
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Implement dimensional data warehouses in Databricks SQL to optimize for fast query performance This 3-part series walks you through the basics and best practices of dimensional modeling. First up, key steps and considerations for defining data objects:
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NVIDIA Project Aether Accelerates Apache Spark Analytics Workloads
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Announced at #GTC25: Project Aether unlocks the value of NVIDIA-Accelerated Apache Spark, automatically accelerating enterprise analytics workloads at datacenter scale. Learn more https://
nvda.ws/420VQwK