Oasis Parcel Integrations

InfStones, a prominent company within the Softbank portfolio, is a sophisticated Platform as a Service (PaaS) provider for blockchain infrastructure, operating out of the United States with the backing of notable venture capitalists. This organization has earned the confidence of leading blockchain enterprises worldwide, such as Binance, BitGo, CoinList, Circle, and several others. Committed to facilitating blockchain adoption and the development of Web3 applications, InfStones offers a robust node management platform coupled with a user-friendly API, designed for developers across the globe. Their platform has been tested in real-world scenarios, boasting support for over 15,000 nodes across more than 60 different blockchains. Known for its incredible reliability, speed, efficiency, security, and scalability, the infrastructure is tailored specifically for cross-chain DeFi, NFTs, GameFi, and decentralized application development. Developers leverage this AI-enhanced platform to seamlessly interact with more than 50 prominent blockchain protocols, continually redefining the landscape of global innovation. InfStones has established itself as a trusted partner for some of the largest players in the blockchain industry, emphasizing their pivotal role in the future of technology. By fostering an environment conducive to innovation, InfStones is paving the way for the next generation of digital solutions.

Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.

Our solution, which is lightweight, swift, portable, and powered by Rust, is specifically engineered for compatibility with OpenAI technologies. To enhance microservices designed for web applications, we partner with cloud providers that focus on edge cloud and CDN compute. Our offerings address a diverse range of use cases, including AI inference, database interactions, CRM systems, ecommerce, workflow management, and server-side rendering. We also incorporate streaming frameworks and databases to support embedded serverless functions aimed at data filtering and analytics. These serverless functions may act as user-defined functions (UDFs) in databases or be involved in data ingestion and query result streams. With an emphasis on optimizing GPU utilization, our platform provides a "write once, deploy anywhere" experience. In just five minutes, users can begin leveraging the Llama 2 series of models directly on their devices. A notable strategy for developing AI agents that can access external knowledge bases is retrieval-augmented generation (RAG), which we support seamlessly. Additionally, you can effortlessly set up an HTTP microservice for image classification that effectively runs YOLO and Mediapipe models at peak GPU performance, reflecting our dedication to delivering robust and efficient computing solutions. This functionality not only enhances performance but also paves the way for groundbreaking applications in sectors such as security, healthcare, and automatic content moderation, thereby expanding the potential impact of our technology across various industries.