TensorOpera AI

🚀 Introducing Fox-1: TensorOpera’s Pioneering Open-Source SLM! We are thrilled to introduce TensorOpera Fox-1, our cutting-edge 1.6B parameter small language model (SLM) designed to advance scalability and ownership in the generative AI landscape. Fox-1 stands out by delivering top-tier performance, surpassing comparable SLMs developed by industry giants such as Apple, Google, and Alibaba. What’s unique about Fox-1? 🌟 Outstanding Performance (Small but Smart): Fox-1 was trained from scratch with a 3-stage data curriculum on 3 trillion tokens of text and code data in 8K sequence length. In various benchmarks, Fox-1 is on par or better than other SLMs in its class including Google’s Gemma-2B, Alibaba’s Qwen1.5-1.8B, and Apple’s OpenELM1.1B. 🌟 Advanced Architectural Design: With a decoder-only transformer structure, 16 attention heads, and grouped query attention, Fox-1 is notably deeper and more capable than its peers (78% deeper than Gemma 2B, 33% deeper than Qwen1.5 - 1.8B, and 15% deeper than OpenELM 1.1B). 🌟 Inference Efficiency (Fast): On the TensorOpera serving platform with BF16 precision deployment, Fox-1 processes over 200 tokens per second, outpacing Gemma-2B and matching the speed of Qwen1.5-1.8B. 🌟 Versatility Across Platforms: Fox-1's integration into TensorOpera’s platforms enables AI developers to build their models and applications on the cloud via TensorOpera AI Platform, and then deploy, monitor, and fine-tune them on smartphones and AI-enabled PCs via TensorOpera FedML platform. This offers cost efficiency, privacy, and personalized experiences within a unified platform. Why SLMs? 1️⃣ SLMs provide powerful capabilities with minimal computational and data needs. This “frugality” is particularly advantageous for enterprises and developers seeking to build and deploy their own models across diverse infrastructures without the need for extensive resources. 2️⃣ SLMs are also engineered to operate with significantly reduced latency and require far less computational power compared to LLMs. This allows them to process and analyze data more quickly, dramatically enhancing both the speed and cost-efficiency of inferencing, as well as responsiveness in generative AI applications. 3️⃣ SLMs are particularly well-suited for integration into composite AI architectures such as Mixture of Experts (MoE) and model federation systems. These configurations utilize multiple SLMs in tandem to construct a more powerful model that can tackle more complex tasks like multilingual processing and predictive analytics from several data sources. How to get started? We are releasing Fox-1 under the Apache 2.0 license. You can access the model from the TensorOpera AI Platform and Hugging Face. More details in our blogpost: https://lnkd.in/dJcWs7N4 https://lnkd.in/d349fnHj

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🔥 How to Create Your Scalable and Dedicated Qualcomm-TensorOpera AI Endpoint? Last week: A Demo of Qualcomm-TensorOpera Dedicated Endpoint in Action This week: How to Create Your Own Endpoints? Deployment Steps on TensorOpera AI Platform (https://lnkd.in/end_FWiD): 1. Go to Deploy > Endpoints > Create Endpoint 2. Select model (e.g., SDXL, Llama3-8B), version, and name your endpoint 3. Select deployment method: dedicated on TensorOpera cloud or your on-premise servers 4. Set the needed number of GPUs per replica (we recommend 1x AI 100 for Llama3 and 2x AI 100 for SDXL replica) 5. Set the number of replicas to meet your average traffic demand 6. Set the autoscale limit to meet your peak traffic variations Customized Auto-Scaling: 1. Customize auto-scaling conditions and speed that scales replicas based on your traffic 2. Balance automatically high SLA & cost efficiency Result: 1. Your own dedicated endpoint running on Qualcomm AI 100 2. Advanced features: Playground, API Access, System Monitoring, Prediction Logs, User Statistics from TensorOpera AI Get early access on https://lnkd.in/eJKVMB9D #TensorOpera #QualcommCloud #GenAIPlatform #ScalableAPIs

🔥 Qualcomm-TensorOpera APIs: Live in Action! Last week, we announced our partnership with Qualcomm to provide Qualcomm Cloud AI inference solutions for LLMs and Generative AI on TensorOpera AI Platform (https://lnkd.in/eJWJaPbZ). Developers can now claim their own Qualcomm-TensorOpera APIs to be able to: 1. Host dedicated endpoints for Llama3, SDXL, and other models on Qualcomm Cloud AI100 2. Autoscale end-points dynamically according to the real-time traffic 3. Access advanced observability and monitoring metrics for endpoints (# of replicas, latency, throughput, GPU/CPU utilization, etc) 4. Access prediction logs, user feedback, and usage statistics to continuously improve Get started with your own Qualcomm-TensorOpera APIs for $0.4/GPU/hour on dedicated Qualcomm Cloud AI100, or use serverless (usage-based) at $0.05/million tokens (for Llama3-8B) and $0.00005/step (for SDXL). Request access here: https://lnkd.in/eJKVMB9D #TensorOpera #QualcommCloud #GenAIPlatform #ScalableAPIs

🔥 Qualcomm-TensorOpera APIs: Live in Action! Last week, we announced our partnership with Qualcomm to provide Qualcomm Cloud AI inference solutions for LLMs and Generative AI on TensorOpera AI Platform (https://lnkd.in/eJWJaPbZ). Developers can now claim their own Qualcomm-TensorOpera APIs to be able to: 1. Host dedicated endpoints for Llama3, SDXL, and other models on Qualcomm Cloud AI100 2. Autoscale end-points dynamically according to the real-time traffic 3. Access advanced observability and monitoring metrics for endpoints (# of replicas, latency, throughput, GPU/CPU utilization, etc) 4. Access prediction logs, user feedback, and usage statistics to continuously improve Get started with your own Qualcomm-TensorOpera APIs for $0.4/GPU/hour on dedicated Qualcomm Cloud AI100, or use serverless (usage-based) at $0.05/million tokens (for Llama3-8B) and $0.00005/step (for SDXL). Request access here: https://lnkd.in/eJKVMB9D #TensorOpera #QualcommCloud #GenAIPlatform #ScalableAPIs

🚀 We are thrilled to announce our collaborations with Qualcomm Technologies to provide the world’s most cost-effective AI inference solutions for LLMs and Generative AI on TensorOpera AI Platform! Through this partnership, AI developers will have the opportunity to access Cloud AI 100 instances on TensorOpera AI Platform for using popular generative AI models, including Llama3 and SDXL. They can choose from various usage models, including API access, on-demand (pay-as-you-go), or dedicated deployments, while leveraging many capabilities like autoscale, comprehensive endpoint monitoring, optimized job scheduling, and AI Agent creation. According to Rashid Attar, Vice President, Cloud Computing, Qualcomm Technologies, Inc, “With the explosion of new generative AI models, developers around the world are hungry for easy, effective access to high-performance AI inference for deployment. By combining TensorOpera’s AI Platform with Qualcomm Technologies’ Cloud AI 100, developers now have immediate access to deploy the most popular GenAI/Large Language Models - Llama3, Mistral, SDXL - at the push of a button. We are excited to collaborate with TensorOpera AI to deliver a high-performance inference platform that offers exceptional value and convenience to developers.” “This collaboration is also aligned with our shared long-term vision of integrated edge-cloud collaborative AI platforms, which we believe will drive widespread adoption of generative AI,” says Salman Avestimehr, co-founder and CEO of TensorOpera. “In line with this vision, TensorOpera will soon launch its new foundation model optimized for smartphones and edge devices. Integrated into the TensorOpera AI Platform, this model enables the development of powerful AI agents directly on mobile devices—a field where Qualcomm has significantly invested by delivering high-performance, efficient compute chips for smartphones.” We invite AI developers and enterprises to explore the services offered by TensorOpera and Qualcomm Technologies. Get started today by visiting https://lnkd.in/eXEcN_Sh to apply for early access to Qualcomm-TensorOpera dedicated or serverless model endpoints. Read the full press release here:  https://lnkd.in/eNwzE_CK

🎉 Introducing TensorOpera AI: A New Era in Our Journey! We are thrilled to announce a significant milestone in our journey. Two years ago, we embarked on an ambitious path with FedML, focusing primarily on federated learning. Today, as we look back on the tremendous growth and expansion of our product offerings, it’s clear that we’ve evolved into something much greater. To better represent the breadth and depth of our innovative solutions, we are excited to unveil our new identity: TensorOpera AI, Inc. 🤔 Why TensorOpera AI? Our new name, TensorOpera AI, is a testament to our commitment to blending cutting-edge technology with creativity. The term “Tensor” represents the foundational building blocks of artificial intelligence—emphasizing the critical role of data, computing power, and models in AI operations. “Opera,” on the other hand, brings to mind the rich and diverse world of the arts—encompassing poetry, music, dance, orchestration, and collaboration. This name reflects our vision for a generative AI future, characterized by multi-modality and complex, multi-model AI systems that are as harmonious and coordinated as a grand opera. 📈 Our Expanding Product Suite As TensorOpera AI, we are proud to offer two main product lines that cater to a wide range of needs within the AI community: TensorOpera AI Platform - Accessible at https://tensoropera.ai, this platform is a powerhouse for developers and enterprises aiming to build and scale their generative AI applications. Our platform excels in providing enterprise-grade features that include model deployment, AI agent APIs, serverless and decentralized GPU cloud operations for training and inference, and comprehensive tools for security and privacy. It’s designed to empower users to create, scale, and thrive in the AI ecosystem economically and efficiently. TensorOpera FedML Platform - Available at https://fedml.ai, this platform remains a leader in federated learning technology. It offers a zero-code, secure, and cross-platform solution that’s perfect for edge computing. The Edge AI SDK, part of TensorOpera FedML, ensures easy deployment across edge GPUs, smartphones, and IoT devices. Additionally, the platform’s MLOps capabilities simplify the decentralization and real-world application of machine learning, backed by years of pioneering research from our co-founders. 🚀 Looking Forward As TensorOpera AI, we remain dedicated to pushing the boundaries of what’s possible in generative AI. Our rebranding is not just a change of name, but a renewal of our promise to you—our community of developers, researchers, and innovators—to provide the tools and technology you need to succeed in this exciting era of AI.We invite you to join us at TensorOpera AI as we continue to orchestrate a smarter, more creative future together.

🎉 Introducing TensorOpera AI: A New Era in Our Journey! We are thrilled to announce a significant milestone in our journey. Two years ago, we embarked on an ambitious path with FedML, focusing primarily on federated learning. Today, as we look back on the tremendous growth and expansion of our product offerings, it’s clear that we’ve evolved into something much greater. To better represent the breadth and depth of our innovative solutions, we are excited to unveil our new identity: TensorOpera AI, Inc. 🤔 Why TensorOpera AI? Our new name, TensorOpera AI, is a testament to our commitment to blending cutting-edge technology with creativity. The term “Tensor” represents the foundational building blocks of artificial intelligence—emphasizing the critical role of data, computing power, and models in AI operations. “Opera,” on the other hand, brings to mind the rich and diverse world of the arts—encompassing poetry, music, dance, orchestration, and collaboration. This name reflects our vision for a generative AI future, characterized by multi-modality and complex, multi-model AI systems that are as harmonious and coordinated as a grand opera. 📈 Our Expanding Product Suite As TensorOpera AI, we are proud to offer two main product lines that cater to a wide range of needs within the AI community: TensorOpera AI Platform - Accessible at https://tensoropera.ai, this platform is a powerhouse for developers and enterprises aiming to build and scale their generative AI applications. Our platform excels in providing enterprise-grade features that include model deployment, AI agent APIs, serverless and decentralized GPU cloud operations for training and inference, and comprehensive tools for security and privacy. It’s designed to empower users to create, scale, and thrive in the AI ecosystem economically and efficiently. TensorOpera FedML Platform - Available at https://fedml.ai, this platform remains a leader in federated learning technology. It offers a zero-code, secure, and cross-platform solution that’s perfect for edge computing. The Edge AI SDK, part of TensorOpera FedML, ensures easy deployment across edge GPUs, smartphones, and IoT devices. Additionally, the platform’s MLOps capabilities simplify the decentralization and real-world application of machine learning, backed by years of pioneering research from our co-founders. 🚀 Looking Forward As TensorOpera AI, we remain dedicated to pushing the boundaries of what’s possible in generative AI. Our rebranding is not just a change of name, but a renewal of our promise to you—our community of developers, researchers, and innovators—to provide the tools and technology you need to succeed in this exciting era of AI.We invite you to join us at TensorOpera AI as we continue to orchestrate a smarter, more creative future together.

FEDML is on the MLOps Community Podcast 🤩 Our CEO Salman Avestimehr was recently featured on the MLOps Community Podcast hosted by Demetrios Brinkmann 🎙 In the episode, Salman shared his expertise on best practices, challenges, and FEDML's GenAI platform. 🚀 Key takeaways: 1. Ownership and control Many developers and enterprises want to build and deploy their own AI models to have control over their data and IP. FEDML helps by providing on-premise deployment options and dedicated endpoints for model hosting 2. Scalability and edge deployment As AI applications grow popular, scalability becomes critical. FEDML is an integrated edge-cloud platform that optimizes models for both cloud and edge deployment. The episode is a must-listen for the developer community! 🎧 Listen here: https://lnkd.in/e8uKb8Zk

We are thrilled to announce our partnership with DENSO to empower fully on-premise training, development, and deployment of AI models via FEDML Nexus AI platform (https://fedml.ai/home). As enterprises and organizations move fast toward bringing AI into their products and services, the need for privacy, security, full control, and ownership of the entire AI software stack becomes a critical requirement. This is especially true with the emergence of Generative AI models and applications, as data and AI models have become essential assets for any organization to obtain their competitive advantage. FEDML is committed to helping enterprises navigate the AI revolution with full ownership and control. By deploying FEDML Nexus AI platform on their own infrastructure (whether private cloud, on-premise servers, or hybrid), companies can provide their employees and customers with scalable, state-of-the-art GenAI capabilities, while giving them full control over their data, models, and computing resources. Our partnership with DENSO perfectly embodies our vision of delivering “Your” Generative AI Platform at Scale. Read more here: https://lnkd.in/eZdjnxCc #fedml #denso #onpremiseAI #genAI https://lnkd.in/ger6KeXk