NVIDIA AI Developer @NVIDIAAIDev
All things AI for developers from @NVIDIA. Additional developer channels: @NVIDIADeveloper, @NVIDIAHPCDev, and @NVIDIAGameDev. developer.nvidia.com/blog Santa Clara, CA Joined June 2017-
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Join this conversation with @Arm and @EdgeImpulse to learn more about generating synthetic data, building ML models, and deploying them on edge devices. Learn how #NVIDIATAO and Omniverse can deploy industrial-grade #AI models onto Arm-based devices. nvda.ws/44BF5cJ
Learn how Mode Maison leverages #OpenUSD to drive innovations in the retail space using high-fidelity, photorealistic #digitaltwins. ➡️ nvda.ws/3WieuPr
Choose from 90+ free #GTC24 #training videos available to watch on demand. Featuring a variety of topics on #generativeAI, graphics & simulation, #acceleratedcomputing, #datascience, and more. 🔍 Find it on demand: nvda.ws/3WiHLtm
❄️Arctic, developed by @SnowflakeDB, is a new open #LLM designed to achieve high inference performance while maintaining low cost on various NLP tasks, joining more than two dozen popular AI models that are supported by NVIDIA NIM on ai.nvidia.com. ➡️…
Discover how NVIDIA's developer training programs enable university instructors to train researchers and students on using #GPU-accelerated servers, how to integrate #generativeAI into the classroom, & more. 📺 Watch #GTC24 on demand sessions: nvda.ws/3UzNDgD
Excited to release 🚀NeRF-XL🚀, a principled method to distribute your NeRF's parameters to multiple GPUs! research.nvidia.com/labs/toronto-a… It is heuristics-free and mathematically equiv. with training your NeRF on a single (large) GPU. Let's scale it up!🌎
Explore how the direct reward fine-tuning (DRaFT) method enhances text-to-image diffusion models to align better with diverse, complex prompts. Read the technical blog ▶️ nvda.ws/49NSY8s
Learn from industry experts with Deep Learning Institute in new public #workshops including the fundamentals of #deeplearning, #datascience, #acceleratedcomputing, and #generativeAI. ➡️ Seats are filling up fast. Register now: nvda.ws/3xKxfko
First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
Effortlessly leverage cloud capabilities with a single-line configuration in your code. Read how @union_ai's NVIDIA DGX Agent seamlessly integrates Flyte workflows with NVIDIA DGX Cloud in our technical blog. ⬇️ nvda.ws/3Uyfw90
Generate highly accurate transcriptions with a high real-time factor, processing 10 minutes of audio in a single second with Parakeet-TDT. ➡️ nvda.ws/4bcdCQR Explore how to use it and get started today. #SpeechRecognition #Speechtotext
Congratulations @SnowflakeDB on Arctic, the latest #EnterpriseAI #LLM that delivers high efficiency inference SQL generation, coding, and Instruction following. Try Arctic, powered by NVIDIA NIM microservice, from a browser or our hosted API. ➡️ nvda.ws/3WexRJb ☃️ ❄️
Developers:✨Try @Microsoft's Phi-3 Mini with the 128K context window at build.nvidia.com/microsoft/phi-… ✨
Developers:✨Try @Microsoft's Phi-3 Mini with the 128K context window at build.nvidia.com/microsoft/phi-… ✨ https://t.co/1sm5HfrXOg
🦙🦙🦙 Optimize your Meta Llama 3 #inference with TensorRT-LLM …and how! ✨ in only 4 steps ✨ 📗➡️nvda.ws/3xRy4rS @AIatMeta
Excited to host @AIatMeta Llama 3 models, powered by NVIDIA NIM microservice, on our NVIDIA API catalog. ➡️nvda.ws/3UppNnH Run these performance optimized models from a browser or API endpoints to test your applications with superior contextual understanding, reasoning &…
Excited to host @AIatMeta Llama 3 models, powered by NVIDIA NIM microservice, on our NVIDIA API catalog. ➡️nvda.ws/3UppNnH Run these performance optimized models from a browser or API endpoints to test your applications with superior contextual understanding, reasoning &… https://t.co/2D6x0OPyt3
Experience Mixtral 8x22B and Mistral Large API endpoints, powered by NVIDIA NIM microservice, from our NVIDIA API catalog ➡️ nvda.ws/3Utljwt These performance-optimized #generativeAI models by Mistral AI, excel in complex multilingual reasoning tasks, and more.
🦙 We’re excited to support @AIatMeta Llama 3 models in NVIDIA TensorRT-LLM, accelerating and optimizing Llama 3 inference performance on our GPUs. #LLM Get started ➡️ nvda.ws/4b57w4z
Break new ground in #speechrecognition with new Parakeet ASR models. These state-of-the-art ASR models, developed in collaboration with @suno_ai_, transcribe spoken English with exceptional accuracy. Get started today. nvda.ws/44r0kOl
AK @_akhaliq
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69K Followers 208 Following Our research and teaching educates leaders and helps solve global challenges.Join this conversation with @Arm and @EdgeImpulse to learn more about generating synthetic data, building ML models, and deploying them on edge devices. Learn how #NVIDIATAO and Omniverse can deploy industrial-grade #AI models onto Arm-based devices. nvda.ws/44BF5cJ
Optimize your Meta Llama 3 #inference with TensorRT-LLM in only 4 steps. @AIatMeta @NVIDIAAIDev bit.ly/3WkKXVt
So excited to share our Large Nature Model and Dataland’s details at CBS 60 minutes! An epic interview at Nvidia GTC and grateful for Jensen Huang for the major support! cbsnews.com/video/nvidia-s…
NVIDIA supports the @AIatMeta Llama 3 family of models in NVIDIA TensorRT-LLM, accelerating and optimizing your #LLM inference performance. (via @NVIDIAAIDev) bit.ly/3JCHTws
Optimize your Meta Llama 3 #inference with TensorRT-LLM in only 4 steps. @AIatMeta @NVIDIAAIDev bit.ly/49WCgDS
Why yes please make my NeRF XL @nvidiaAIDev @nvidia
Excited to release 🚀NeRF-XL🚀, a principled method to distribute your NeRF's parameters to multiple GPUs! research.nvidia.com/labs/toronto-a… It is heuristics-free and mathematically equiv. with training your NeRF on a single (large) GPU. Let's scale it up!🌎
NVIDIA supports the @AIatMeta Llama 3 family of models in NVIDIA TensorRT-LLM, accelerating and optimizing your #LLM inference performance. (via @NVIDIAAIDev) bit.ly/3WeyFh9
Optimize your Meta Llama 3 #inference with TensorRT-LLM in only 4 steps. @AIatMeta @NVIDIAAIDev bit.ly/3wkj70R
Optimize your Meta Llama 3 #inference with TensorRT-LLM in only 4 steps. @AIatMeta @NVIDIAAIDev bit.ly/4aMoGUS
First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
One of the many amazing aspects of Brev's integration with Akash is NVIDIA's push for the adoption of Akash. Follow the link to deploy on Akash ↓
🦙🦙🦙 Optimize your Meta Llama 3 #inference with TensorRT-LLM …and how! ✨ in only 4 steps ✨ 📗➡️nvda.ws/3xRy4rS @AIatMeta
for all the AI devs out there, dive in #Sentients #AI #LLMs #small @nvidia
Developers:✨Try @Microsoft's Phi-3 Mini with the 128K context window at build.nvidia.com/microsoft/phi-… ✨
DLSS 3.5 Ray Reconstruction makes games look better than ever. 🙌 #AIonRTX leverages DLSS 3.5 technology for improved ray-traced lighting effects like reflections & shadows. Learn More → nvda.ws/44hOo1g
As big fan of #NVIDIA hardware and infrastructure and #Meta’s mighty open-source Llama 🦙 model this combination feels right. Dream Team!
🦙🦙🦙 Optimize your Meta Llama 3 #inference with TensorRT-LLM …and how! ✨ in only 4 steps ✨ 📗➡️nvda.ws/3xRy4rS @AIatMeta
Announcing our collaboration to accelerate @Microsoft's new Phi-3 Mini open language model with NVIDIA TensorRT-LLM. nvda.ws/3xJ6zR0 Developers can try Phi-3 Mini with the 128K context window at ai.nvidia.com.
Run blazing-fast Llama3 inference on Brev!🤙
🦙🦙🦙 Optimize your Meta Llama 3 #inference with TensorRT-LLM …and how! ✨ in only 4 steps ✨ 📗➡️nvda.ws/3xRy4rS @AIatMeta
Run Llama3 w/ TensorRT-LLM on Brev 🤩🤙
🦙🦙🦙 Optimize your Meta Llama 3 #inference with TensorRT-LLM …and how! ✨ in only 4 steps ✨ 📗➡️nvda.ws/3xRy4rS @AIatMeta
Optimize your Meta Llama 3 #inference with TensorRT-LLM in only 4 steps. @AIatMeta @NVIDIAAIDev bit.ly/49Och1y
@NVIDIAAIDev Another great way to accelerate inference of Llama 3 — exciting news!
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