Pruthvi Raju’s Post

Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant

Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant

Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant

Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant

Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant

Supporting 1024 Frames with Nearly 100% Accuracy: NVIDIA's 'LongVILA' Powers Up for Long Videos Discover NVIDIA's LongVILA: A full-stack solution for training and deploying long-context visual language models (VLMs) with enhanced performance and scalability. https://lnkd.in/gHwEeDJi #AI #LLM #NVIDIA #LongVILA #VLMs #deploying #longcontext #opensource #Llama

🚀 NVIDIA's Llama 3.1 Nemotron is rewriting the AI playbook! 🧠 With just 70B parameters, it's outperforming giants like GPT-4. 🔓 Open-source and packing a punch, this model is a game-changer for developers and researchers. 💻 Want to know how NVIDIA is revolutionizing AI language models? Click to dive into our in-depth analysis of Nemotron's capabilities and what it means for the future of AI! https://lnkd.in/g85Cfhz9 #NVIDIANemotron #AIInnovation #OpenSourceAI

NVIDIA has once again raised the bar in AI innovation with the unveiling of 𝐇𝐲𝐦𝐛𝐚 1.5𝐁. A hybrid small language model that outperforms rivals like 𝐋𝐋𝐚𝐌𝐀 3.2 and 𝐒𝐌𝐎𝐋𝐋𝐌 𝐯2. 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐇𝐲𝐦𝐛𝐚 1.5𝐁 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲? It integrates a hybrid-head parallel architecture, combining the best of transformer attention mechanisms with structured state machines (SSMs). This unique design boosts performance and efficiency in natural language processing tasks, catering to a wide range of applications. With 𝐇𝐲𝐦𝐛𝐚 1.5𝐁, NVIDIA underscores its commitment to pushing AI boundaries, offering developers and enthusiasts a powerful new tool to explore and innovate. Let’s discuss what this breakthrough means for the future of AI! What excites you most about this release? #NVIDIA #AI #Hymba #MachineLearning #Innovation for more visit : https://lnkd.in/dYXjz8aw

A new chip revolutionizes AI inference performance for LLMs Groq, a generative AI firm, has developed the Tensor Streaming Processor (TSP) to eliminate the bottlenecks of traditional GPU clusters. By creating the Language Processor Unit (LPU), Groq is paving the way for faster and more efficient AI inference, surpassing GPU-based alternatives in terms of speed and scalability. - 💡 The TSP and LPU architecture from Groq offer a streamlined approach for AI computations, eliminating the need for complex scheduling hardware and ensuring consistent latency and throughput. - 💭 The LPU's efficiency stems from its ability to maximize computing capacity, allowing for faster generation of text sequences without the overhead of managing multiple threads or underutilization of cores. - 🚀 Groq's innovative approach to AI inference is already delivering speeds up to 10 times faster than GPU-based alternatives, offering a glimpse into the future of accelerated AI performance. How do you think the development of chips like Groq's TSP and LPU will impact the current landscape of AI hardware and inference capabilities? #ai #inference #groq #technology #innovation #machinelearning #deeplearning

Is this a game changer?? Cerebras has developed a giant chip that can fit an entire AI foundation model, enabling ultra-fast AI inference. This breakthrough allows Cerebras to outperform GPUs and other AI hardware by running the full model on a single chip, rather than splitting it across multiple devices. This could significantly speed up AI deployment and make large language models more accessible. https://lnkd.in/eVHdWsG2 #GenAI #Cerebras #Inference #GPUs #LLMs #LAMs