Cookie Consent by Free Privacy Policy Generator ๐Ÿ“Œ Demo: Optimizing Gemma inference on NVIDIA GPUs with TensorRT-LLM
Team IT Security Nachrichtenportal Logo

๐Ÿ  Team IT Security News

TSecurity.de ist eine Online-Plattform, die sich auf die Bereitstellung von Informationen,alle 15 Minuten neuste Nachrichten, Bildungsressourcen und Dienstleistungen rund um das Thema IT-Sicherheit spezialisiert hat.
Ob es sich um aktuelle Nachrichten, Fachartikel, Blogbeitrรคge, Webinare, Tutorials, oder Tipps & Tricks handelt, TSecurity.de bietet seinen Nutzern einen umfassenden รœberblick รผber die wichtigsten Aspekte der IT-Sicherheit in einer sich stรคndig verรคndernden digitalen Welt.

16.12.2023 - TIP: Wer den Cookie Consent Banner akzeptiert, kann z.B. von Englisch nach Deutsch รผbersetzen, erst Englisch auswรคhlen dann wieder Deutsch!

Google Android Playstore Download Button fรผr Team IT Security
RSS Feed Symbol fรผr Team IT Security 800+ IT News als RSS Feed abonnieren



๐Ÿ“š Demo: Optimizing Gemma inference on NVIDIA GPUs with TensorRT-LLM


๐Ÿ’ก Newskategorie: Videos
๐Ÿ”— Quelle: youtube.com

Author: Google for Developers - Bewertung: 0x - Views:3

Even the smallest of Large Language Models are compute intensive significantly affecting the cost of your Generative AI application. Your ability to increase the throughput and reduce latency can make or break many business cases. NVIDIA TensorRT-LLM is an open-source tool that allows you to considerably speed up execution of your models and in this talk we will demonstrate its application to Gemma. Subscribe to Google for Developers โ†’ https://goo.gle/developers #Gemma #GemmaDeveloperDay

...



Sharing is caring on Social Media

๐Ÿ”— Reddit
๐Ÿ”— Telegram
๐Ÿ”— LinkedIn
๐Ÿ”— Xing
๐Ÿ”— Twitter
๐Ÿ”— Whatsapp
๐Ÿ”— Facebook
๐Ÿ”— Flipboard

Join the Team IT Security Community

๐Ÿ”— "IT Sicherheit" Reddit-Gruppe
๐Ÿ”— "IT Sicherheit" Telegramm-Seite

๐Ÿ“Œ Researchers at Intel Labs Introduce LLaVA-Gemma: A Compact Vision-Language Model Leveraging the Gemma Large Language Model in Two Variants (Gemma-2B and Gemma-7B)


๐Ÿ“ˆ 81.03 Punkte

๐Ÿ“Œ Serving TensorRT Models with NVIDIA Triton Inference Server


๐Ÿ“ˆ 50.95 Punkte

๐Ÿ“Œ Leveraging TensorFlow-TensorRT integration for Low latency Inference


๐Ÿ“ˆ 45.21 Punkte

๐Ÿ“Œ NVIDIA and Google partner to optimize new Google Gemma on NVIDIA GPUs


๐Ÿ“ˆ 43.09 Punkte

๐Ÿ“Œ Speculative Decoding for Faster Inference with Mixtral-8x7B and Gemma


๐Ÿ“ˆ 36.26 Punkte

๐Ÿ“Œ Machine Learning: Nvidia gibt TensorRT 2 frei


๐Ÿ“ˆ 34.94 Punkte

๐Ÿ“Œ Bing delivers more contextualized search using quantized transformer inference on NVIDIA GPUs in Azure


๐Ÿ“ˆ 33.1 Punkte

๐Ÿ“Œ Bing delivers more contextualized search using quantized transformer inference on NVIDIA GPUs in Azure


๐Ÿ“ˆ 33.1 Punkte

๐Ÿ“Œ Bing delivers more contextualized search using quantized transformer inference on NVIDIA GPUs in Azure


๐Ÿ“ˆ 33.1 Punkte

๐Ÿ“Œ Using TFX inference with Dataflow for large scale ML inference patterns


๐Ÿ“ˆ 32.02 Punkte

๐Ÿ“Œ Half-precision Inference Doubles On-Device Inference Performance


๐Ÿ“ˆ 32.02 Punkte

๐Ÿ“Œ Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference


๐Ÿ“ˆ 30.85 Punkte

๐Ÿ“Œ This AI Paper from Adobe and UCSD Presents DITTO: A General-Purpose AI Framework for Controlling Pre-Trained Text-to-Music Diffusion Models at Inference-Time via Optimizing Initial Noise Latents


๐Ÿ“ˆ 30.85 Punkte

๐Ÿ“Œ Demo: Deploying Gemma at dataflow scale


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: Using Gemma with the Hugging Face ecosystem


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: Gemma on-device with MediaPipe and TensorFlow Lite


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: Taking Gemma from prototype to production faster with Vertex AI


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: Building a Gemma chatbot with Keras


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: Rapid prototyping with Gemma and Llama.cpp


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ Demo: JAX, Flax and Gemma


๐Ÿ“ˆ 29.74 Punkte

๐Ÿ“Œ TensorRT & TensorFlow 1.7, Android Studio 3.1, Google Cloud Text-to-Speech & More! - TL;DR 106


๐Ÿ“ˆ 29.2 Punkte

๐Ÿ“Œ Colossal-AI Team Open-Sources SwiftInfer: A TensorRT-Based Implementation of the StreamingLLM Algorithm


๐Ÿ“ˆ 29.2 Punkte

๐Ÿ“Œ Linode Democratizes Cloud GPUs: Brings Powerful Nvidia GPUs To Its Linux Cloud


๐Ÿ“ˆ 28.46 Punkte

๐Ÿ“Œ Demo: Optimizing Application Performance in Azure SQL | Azure SQL for beginners (Ep. 41)


๐Ÿ“ˆ 24.33 Punkte

๐Ÿ“Œ Nvidia RTX in der Spur? Zwei von drei verkauften Geforce-GPUs sind laut Nvidia RTX-Karten


๐Ÿ“ˆ 22.83 Punkte

๐Ÿ“Œ Here are all the NVIDIA GPUs that support NVIDIA Broadcast


๐Ÿ“ˆ 22.83 Punkte

๐Ÿ“Œ Turing-GPUs waren in 10 nm geplant โ€“ Grafik zeigt Trend zu grรถรŸeren GPUs


๐Ÿ“ˆ 22.72 Punkte

๐Ÿ“Œ How are You Utilizing GPUs? Best Practices on Managing GPUs in Azure | ODFP223


๐Ÿ“ˆ 22.72 Punkte

๐Ÿ“Œ Release the panthor! Kernel driver supporting 10th-gen (aka third-gen Valhall) Arm Mali GPUs merged & Gallium driver support extended, effectively enabling GPUs on Rockchip's RK3588


๐Ÿ“ˆ 22.72 Punkte

๐Ÿ“Œ As Intel Gets Into Discrete GPUs, It Scales Back Support For Many Integrated GPUs


๐Ÿ“ˆ 22.72 Punkte

๐Ÿ“Œ How Amazon Music uses SageMaker with NVIDIA to optimize ML training and inference performance and cost


๐Ÿ“ˆ 21.74 Punkte

๐Ÿ“Œ CVE-2023-31036 | NVIDIA Triton Inference Server prior 2.40 on Linux/Windows Model Load API path traversal


๐Ÿ“ˆ 21.74 Punkte

๐Ÿ“Œ Seeking advice on optimizing response time and handling multiple requests on AWS instance with NVIDIA A10G GPU


๐Ÿ“ˆ 20.58 Punkte

๐Ÿ“Œ Harry Styles: Vermรถgen, Tattoos, Twitter und Schwester Gemma


๐Ÿ“ˆ 20.26 Punkte

๐Ÿ“Œ Gemma: Introducing new state-of-the-art open models


๐Ÿ“ˆ 20.26 Punkte











matomo

Kontakt

24/7 [email protected]

Weitere Informationen

Google Android Playstore Download Button fรผr Team IT Security
๐Ÿ”— Impressum
๐Ÿ”— Datenschutz
Paypal Spenden fรผr Projekt

Social Media

๐Ÿ”— Facebook
๐Ÿ”— Reddit
๐Ÿ”— Team IT Security als Elektron App
๐Ÿ”— © 2015-2023 Team IT Security Nachrichtenportal รผber Cybersecurity
๐Ÿ”— CMS "myDraft" a PHP Portal Software