TensorOpera AI

🔥🔥 Qualcomm x TensorOpera AI: Partnership News! We’re excited to unveil the next milestone in our partnership with Qualcomm Technologies! 🔧 What’s in it for you? Same performance at half the price, powered by Qualcomm Cloud AI 100. Making it easier than ever to optimize your existing SDXL deployments and scale your generative AI applications more efficiently. ✨ Ready to try it out? 1- Sign up on TensorOpera AI Platform (https://tensoropera.ai/) 2- Head to our TensorOpera Model Marketplace 3- Integrate the API in your application with the OpenAI standard format and see the magic happen! 🪄 Pricing: Public Endpoint at $0.0005/ step -> -50% compared to SDXL on A100 Dedicated or serverless Qualcomm-SDXL endpoints on request 📰 Don't miss out on the action! — read more about how to get started today: https://lnkd.in/gkFrz4Es PS. special thanks to Parmeet Kohli, Suman Gunnala, and Qualcomm cloud team for the great blogpost about the partnership. #TensorOpera #Qualcomm #GenAI #AIPlatform #Innovation #TechNews #QualcommCloudAI100

🌟 Good morning from Ai4 - Artificial Intelligence Conferences 2024 in Las Vegas! 🌟 We're thrilled to kick off the day at booth #526, where innovation meets enterprise! Our team is ready to demonstrate how TensorOpera AI empowers ownership and scalability for bringing genAI into production.  Stop by and chat with us to learn more about our products and services. Whether you’re looking to scale your AI models and applications cost-effectively, or build and deploy them privately on your premises, we have something exciting for you! Let’s make AI4 2024 unforgettable together! 🦊 🚀 #AI42024 #EnterpriseAI #TensorOpera

✨ TensorOpera AI is heading to Las Vegas for Ai4 - Artificial Intelligence Conferences 2024! Catch us at booth #526 as we showcase groundbreaking GenAI innovations tailored for enterprises and GenAI developer. 📅 When? August 12-14 📍 Where? Booth 526, at Ai4 in Las Vegas #AI42024

🦊 TensorOpera's Fox-1 small language model (SLM) is independently benchmarked and ranked in top 3. It outperforms other outstanding open-source SLMs, including Gemma 2B by Google, StableLM by Stability AI, and Phi 1.5 by Microsoft. It is available on TensorOpera's Model Marketplace (https://lnkd.in/evjGg4Y2) for deployment on both cloud and the edge. We also provide high throughput API access for Llama3.1-405B API from AI at Meta at low price of $4.90 per million tokens, and many more! Get access to the API or deploy them privately here: https://lnkd.in/evjGg4Y2

🚀 Llama3.1-405B is live on TensorOpera AI Platform! It’s the most powerful open-source model from Meta, now available on TensorOpera AI at a high throughput and the low price of just $4.90 per million tokens! Getting started to obtain Llama3.1-405B API on TensorOpera AI platform (https://lnkd.in/end_FWiD) is simple: 1) Click: Go to Model Hub > Choose Model > API 2) Copy: Copy the API code and integrate it into your environment 3) Test: Evaluate model performance in the Playground before full integration If you further need dedicated endpoints for production with advanced deployment, observability, and security features, contact Jan-Paul Schwarz at jp.schwarz@tensoropera.com. #TensorOpera #Llama3.1 #opensource

🚀 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