Great work from our Matrice.ai team integrating #LambdaServers GPUs from Lambda to provide a cloud-agnostic optimized compute service to make GPU compute more affordable for customers currently using #AWS, #GCP, #OCI or other GPU vendors.
🚀 Exciting News from Matrice.ai ! 🚀 We’re thrilled to announce that we've expanded our compute platform to include Lambda GPU instances (Nvidia A100 and A10), offering powerful performance at a lower cost compared to other providers! 💻⚡ Their GPUs are around 1/3rd the cost of other compute providers like Amazon Web Services (AWS) and Oracle Cloud (for Nvidia 1xA10), making high-performance model training more accessible: Alongside Amazon Web Services (AWS) , Oracle Cloud , Google Cloud , and Lambda, we are also working on supporting on-premise model training and deployment, offering greater flexibility for your machine learning projects. At Matrice.ai , we’re committed to providing the best-in-class infrastructure to fuel your AI and computer vision projects. Stay tuned for more updates! Dipendra Jha, Ph.D. Reda Al-Bahrani Amar Krishna #AI #ComputerVision #CloudComputing #LambdaLabs #AWS #OCI #GCP #GPUs