Unit8’s Post

🚀 Learn more about Unit8 GenAI HyperScaler key features for speeding up GenAI projects! . . .

We’re delighted to invite you to our upcoming #MLOpsLive Webinar on October 29th, where experts Amit Bleiweiss (NVIDIA) and Yaron Haviv (Iguazio (Acquired by McKinsey) will walk through how to build, deploy and scale #LLM and GenAI applications using #NVIDIA NIM and #MLRun. 💻 What you'll learn: 🔎 NVIDIA NIM's architecture and insights into efficient GenAI deployment. 👾 MLRun’s role in orchestrating and monitoring your GenAI applications ✅ How to ensure scalability, performance, and cost efficiency. 🤳 A live demo showcasing the power of NIM and MLRun. Register today to save your seat! (link in the first comment) #GenAI #AI #MLOps #NVIDIA #DataScience #AIinProduction #LLMMonitoring #MLOpsLive #MachineLearning #GPUOptimization #OpenSource 

AI21 Labs proudly presents Jamba: a game-changing hybrid model blending Mamba SSM with a traditional Transformer. Offering a massive 256K context window and tripling throughput, it's setting new standards. Highlights: - Hybrid Architecture: Boosts throughput 3x on long contexts - Supports 140K context on a single GPU - Unveiled under Apache 2.0, promoting open-source innovation Key Features: - A massive 256K context window - 3x throughput boost - 140K context on one GPU Innovation: Jamba integrates Transformer and Mamba with MoE layers, optimizing efficiency and performance at a lean 12B of 52B parameters. Jamba's hybrid design eclipses similar-sized Transformer-only models in speed and efficiency, tackling the common issues of slow inference and large memory footprint. AI21 Labs invites the AI community to build upon Jamba, with a focus on optimizing MoE parallelism, Mamba implementation, and efficiency in the future. #llm #opensource #hybridmodel #moemodel

Now in developer preview: Astra DB Vectorize 💥 Designed for developers, Vectorize with @NVIDIA NeMo simplifies the embedding process, allowing you to focus on what matters most—building powerful, efficient GenAI applications. Sign up to try: https://ow.ly/IZoG30sAY18

This is how K8s dynamic resource provisioning should work. Smart Fabrics that understand how to convert a pod spec into a running solution with dynamic hardware.

Leverage the power of AI for Infrastructure Operation 🧠 Maximize the value of every operation with the AI-Native Infrastructure Platform, specifically designed to utilize AIOps to ensure optimal operator and end-user experiences. What's in store? 🚀Next Level Cluster Debugging with k8sgpt.ai 🚀Effortless Nodes Management with NVIDIA GPU Operator 🚀Flexibility, Automation & Increased Efficiency Book a demo and let's chat🗨️: https://hubs.li/Q02Fqxh_0 #Kubermatic #KKP #Kubernetes #K8s #CloudNative #aiops #ai

NVIDIA Unveils Generative AI-Enabled OpenUSD Pipeline for Cinematic Content Production NVIDIA introduces a generative AI-enabled OpenUSD pipeline, enhancing the production of cinematic content through automation and scalability, revolutionizing commercial creation. https://lnkd.in/efV8z67i

Now in developer preview: Astra DB Vectorize 💥 Designed for developers, Vectorize with @NVIDIA NeMo simplifies the embedding process, allowing you to focus on what matters most—building powerful, efficient GenAI applications. Sign up to try: https://ow.ly/Q64q30sB0CL

🔍 Explore AI21 Labs' Jamba 1.5, designed for diverse AI tasks like content creation and data insights. ➡️ https://nvda.ws/4fVqfmo Using transformer and Mamba architectures, this MoE model ensures top efficiency and extensive context handling. Experience Jamba 1.5 API as NVIDIA NIM microservice from the NVIDIA API catalog.