L2 Iterative Venture (L2IV)’s Post

Come See Us at NVIDIA GTC 2024 * who: Diamond Sponsor, #ddn , at #nvidia #gtc24 * when: March 18 - 21 in San Jose, CA, * why: let us help you plan your 2024 HPC and AI initiatives. Visit the DDN booth #816 for informational sessions and learn from our experts: 1- How to reach Faster results for generative AI, LLMs and big data projects 2- How to get 10x GPU acceleration with optimized I/O 3- How we @ #ddn accelerate AI computing workloads with NVIDIA Whether you're looking to get faster time to insights with an optimized environment or just getting started with exploring infrastructure built for AI workloads, book a meeting at the show with DDN experts who will help you get there.

Aethir’s innovative model is democratizing access to GPU’s and re-inventing GPUaaS.

🔥 Our on-demand offerings are expanding 🔥 We're thrilled to announce the upcoming addition of the NVIDIA H100-80GB-SXM5 GPU to our on-demand offerings. This addition joins our existing NVIDIA H100-80GB-PCIe and H100-80GB-PCIe-NVLink options, expanding our HPC solutions to meet the most demanding AI workloads. In our latest blog post, discover how these options compare and why SXM5 stands out. 🔗 : https://lnkd.in/erJeQbye If you are pursuing AI research, tackling complex scientific simulations, or processing massive datasets, the SXM5 variant offers the raw power and scalability to drive your projects. Get started with #Hyperstack today at https://lnkd.in/env9JkjV #AI #HPC #NVIDIA #PerformanceBenchmarks #CloudComputing #TechInsights #GPU #Cloud #GPUisWhatWeDo

Model deployment has become a critical competency for organisations seeking to gain a competitive edge with #MachineLearning. But what exactly is model deployment in machine learning? 🤔 In our latest blog post, discover how successful model deployment ensures reliable and efficient performance, seamless integration, and drives business value. Learn about the challenges, preparation steps, and various deployment techniques to enhance your ML projects. 🔗 Dive in: https://lnkd.in/evBTfXrH At Hyperstack, our cutting-edge GPUs, including NVIDIA A100, NVIDIA H100 and NVIDIA H100 SXM, excel in parallel processing for faster development and deployment. Try them out today at: https://lnkd.in/env9JkjV #Hyperstack #AI #ML #ModelDeployment #Innovation #GPU #Cloud #GPUisWhatWeDo

Exciting news! Katonic AI is now officially a part of the NVIDIA Cloud Validated ecosystem! You can now enjoy a faster, optimised AI application development process and fine-tune large language model with the capabilities of NVIDIA GPUs. Experience the flexibility of developing on our Katonic Generative AI platform once and deploying it anywhere that NVIDIA technology is used. Find Katonic AI on NVIDIA Cloud Validated ecosystem: https://lnkd.in/d6XF22sa   #GenerativeAI #NVIDIACloudValidated

New MLPerf: NVIDIA H100 conquers latest AI tests! NVIDIA continues to dominate ML benchmarks with the release of new MLPerf training tests for fine-tuning LLMs and graph neural networks. NVIDIA's Hopper architecture systems, particularly an 11,616 H100 GPU setup (the biggest ever done), topped all nine benchmarks, setting records in five. This system completed the GPT-3 training trial in under 3.5 minutes, showing a significant improvement over last year's results. We're proud to offer cutting-edge NVIDIA HGX H100 GPUs to empower your AI and compute workloads. Get in touch now to elevate your AI and compute workloads. #AI #CloudComputing #GPU #AIInfrastructure #GenesisCloud #NVIDIA #H100 #MLPerf

-Accelerated InfiniBand Solution for HPC- NVIDIA Quantum InfiniBand Platform Brings end-to-end high-performance networking to scientific computing, AI, and cloud data centers. Complex workloads demand ultra-fast processing of high-resolution simulations, extreme-size datasets, and highly parallelized algorithms. As these computing requirements continue to grow, NVIDIA Quantum InfiniBand—the world’s only fully offloadable, In-Network Computing platform—provides the dramatic leap in performance needed to achieve unmatched performance in high-performance computing (HPC), AI, and hyperscale cloud infrastructures with less cost and complexity. NVIDIA - https://lnkd.in/ehW6Ffks PNY Partner HUB - https://lnkd.in/gmeKJhsd #nvidia #hpc #infiniband #networking #network #nvidiaomniverse #

Ensuring reliable and efficient machine learning model performance in production environments goes beyond just training and validation. But what exactly is model deployment and what are the critical factors to consider? 🤔 My latest article explores model deployment in machine learning where you will learn about: -The distinction between model training/validation and deployment -Proper preparation for model deployment, including data pre-processing and optimisation techniques -Selecting the right deployment environment And more 👨💻 Read the article on Hyperstack to learn more: https://lnkd.in/gWuBKA3r #machinelearning #artificialintelligence #modeldeployment #cloudcomputing

Hyper-acceleration of the largest LLMs anyone? Introducing the NVIDIA GH200 NVL32, a rack-scale solution for the largest #AI models powered by NVIDIA GH200 Grace Hopper™ Superchips. Learn more now. #DataCenter #AWSreInvent

Generative AI is quickly becoming an integral part of our daily lives. Taiga Cloud supports the era of generative AI in Europe. With many NVIDIA H100 GPUs from the end of 2023.