Atlas Cloud

California and NVIDIA are launching a groundbreaking initiative to enhance AI education and workforce development. This collaboration, signed by Governor Gavin Newsom and NVIDIA CEO Jensen Huang, will introduce advanced AI resources, including hardware, software, and curricula, into community colleges and other educational institutions. The initiative aims to train students, educators, and workers, support job creation, and drive innovation across the state. By integrating AI into education and fostering public-private partnerships, California and NVIDIA are setting the stage for a new era of technological advancement and economic growth. #AI #bigdata #tech #efficiency #gpu #atlascloud #neuralnetworks #deeplearning #datascience #innovation #NLP #LLM #Nvidia #California https://lnkd.in/gWVhSGt6

https://lnkd.in/gciJ6KGh Nvidia has announced a delay in the shipment if the Blackwell GPUs to Q1 2025. Major clients like Microsoft and Meta who placed significant orders for these GPUs to enhance their AI services, will experience delays. Although the delay may disrupt short term plans, Nvidia is anticipated to navigate the situation by prioritizing their existing Hopper chips and adjusting product strategies. The delay is primarily attributed to TSMC's capacity constraints and necessary redesigns. Meanwhile the demand for H100 and H200 GPUs is expected to rise, and Atlas Cloud is offering the best pricing to meet your needs.

Step-by-Step Guide to Finetune Llama 3 with PEFT Techniques

Atlas Cloud's Top 10 Essential MLOps Tips for 2024

A Comprehensive Guide to Harness the Power of Serverless GPUs with Atlas Cloud's Cost-Efficient AI Deployment

Exploring Efficient Large Language Models The exponential growth of Large Language Models (LLMs) has marked a significant leap in natural language processing (NLP) capabilities. However, their escalating computational and environmental costs necessitate the development of more efficient methodologies. Here are several techniques aimed at optimizing the efficiency of LLMs and advancing the state of the art in NLP. To assist businesses in speeding up model development and enhancing efficiency overall, Atlas Clouds MLOps provides these optimization methods to help customers streamline the model serving process. Model-Centric Approaches: These methods focus on reducing model size and computational requirements. Techniques like pruning, quantization, and distillation compress models without significantly compromising performance. Efficient pre-training and fine-tuning optimize the training process using smaller, high-quality datasets and leveraging transfer learning. Novel architectures, such as sparse transformers, reduce computational demands through selective activation of model components. Data-Centric Approaches: Emphasize the importance of high-quality data selection and curation. Strategies like active learning and curriculum learning improve training efficiency by selectively querying informative data points and gradually introducing complex data. Prompt engineering enhances model responses by crafting precise prompts, reducing the need for extensive fine-tuning and improving real-world application efficiency. Framework-Centric Approaches: Involve developing specialized software frameworks like DeepSpeed and TensorFlow Mesh to optimize LLM performance. These frameworks offer features such as model parallelism and mixed-precision training, facilitating efficient hardware resource utilization. Model parallelism distributes parameters across multiple devices, handling larger models without exceeding device limitations. Mixed-precision training reduces memory usage and speeds up computations by leveraging lower-precision arithmetic for specific operations. The AI community is making significant strides in balancing the power of LLMs with resource efficiency. New technologies are emerging to address the pressing challenges associated with large-scale NLP models. As the field progresses, a concerted effort to balance performance with efficiency will be crucial for the sustainable development of NLP technologies. For more information on this topic, visit: https://lnkd.in/eNpaJ95R

Unleashing the Future of AI with NVIDIA’s H100 GPUs at Atlas Cloud As we enter the AI era, Nvidia’s advancements in GPU technology are reshaping the landscape. From gaming to AI-centric solutions, Nvidia has positioned itself at the forefront of this revolution. In fiscal year 2024, Nvidia’s AI-grade GPUs have driven revenue to an impressive $60 billion in just five months, reflecting the growing demand for powerful chips to train and run AI models. At Atlas Cloud, we’re excited to integrate Nvidia’s cutting-edge H100 GPUs into our cloud services, offering clients unmatched performance and efficiency. The H100, released in 2022, is a leap forward from its predecessor, the A100. It boasts twice the computing speed, reducing model training and inference times by half, making it a smart investment for scaling AI capabilities. Key features of the H100 include: · Advanced Tensor Cores: Enhance AI training and inference speeds with support for multiple precision types. · Confidential Computing: Ensures data security by protecting data in use, which is crucial for industries handling sensitive information. · Tensor Memory Accelerator (TMA): Boosts performance by offloading memory management tasks seamlessly handling large datasets. · High Memory Bandwidth: Achieves speeds up to 3 Tbps, ideal for data-intensive tasks. The H100 excels in applications from complex simulations and generative AI to data-intensive operations, providing faster and more accurate results. This makes it an excellent choice for AI startups and enterprises aiming to stay competitive. #AI #GPU #Nvidia #CloudComputing #AtlasCloud #AIInnovation #TechRevolution Source: https://lnkd.in/enR-d-fu

Connecting AI Minds: Event Recap from June 19th Last Wednesday, June 12th, we hosted an incredible event in New York, bringing together AI and GPU enthusiasts from various places. The turnout was fantastic, and we met a lot of great minds and made many meaningful connections. We also had the privilege of seeing demos from four innovative companies: Columbia (NGO LLM), Code Blue, NeuronSpike, and AliceLLM. Each company showcased its cutting-edge solutions in a truly inspiring and captivating way. This event also helped us spread our mission: to empower companies, especially startups, by providing cost-effective GPU rental services. Our services enable these companies to harness the power of artificial intelligence. We facilitate the transition to AI, allowing businesses to enhance their models with extraordinary computing power. While we do not create AI technologies ourselves, we make high-performance computing accessible to all. Even if companies lack the infrastructure, such as servers or data centers, we provide the necessary resources to integrate AI into their operations. Thank you to everyone who attended and contributed to the success of this event. We look forward to more opportunities to connect and collaborate! 🙌 #AI #GPU #TechEvent #Networking #Innovation #Startups #AITransition #AffordableGPU #BusinessGrowth

Our portfolio company, Atlas Cloud, hosted a soft launch event last week and it was a hit! over 80 people showed up and many AI startups showcased their MVP during the event. We are on a mission to arm AI innovators with the compute, tools, APIs so they can go to market with their products much faster with less effort. Thanks to the showcase AI teams: Neuronspike - Dovran A.; Michelle W. (Investor) Code Blue AI - Ashmita Kumar AskBobby - To-Liang (Luke) Hsu ALICELLM - Cornell Tech Please reach out to Atlas Cloud BD team to discuss your AI compute / API needs: Chenyu Li; Lexi Xu Han; Fanxi Shen; Harry he; Wei Xu

Connecting AI Minds: Event Recap from June 19th Last Wednesday, June 12th, we hosted an incredible event in New York, bringing together AI and GPU enthusiasts from various places. The turnout was fantastic, and we met a lot of great minds and made many meaningful connections. We also had the privilege of seeing demos from four innovative companies: Columbia (NGO LLM), Code Blue, NeuronSpike, and AliceLLM. Each company showcased its cutting-edge solutions in a truly inspiring and captivating way. This event also helped us spread our mission: to empower companies, especially startups, by providing cost-effective GPU rental services. Our services enable these companies to harness the power of artificial intelligence. We facilitate the transition to AI, allowing businesses to enhance their models with extraordinary computing power. While we do not create AI technologies ourselves, we make high-performance computing accessible to all. Even if companies lack the infrastructure, such as servers or data centers, we provide the necessary resources to integrate AI into their operations. Thank you to everyone who attended and contributed to the success of this event. We look forward to more opportunities to connect and collaborate! 🙌 #AI #GPU #TechEvent #Networking #Innovation #Startups #AITransition #AffordableGPU #BusinessGrowth