Avian's AI Infrastructure Transforms Enterprise Data Management with Meta Llama and Nvidia GPUs
Avian's AI infrastructure revolutionizes enterprise data management through sophisticated API integration and advanced security protocols. Built on Meta's Llama 3.1 405B model and Nvidia H200 SXM GPUs, their platform processes 142 tokens per second while maintaining industry-leading security standards including AICPA/SOC2 compliance and ISO 27001 certification.
Avian's API platform optimizes performance through Meta's Llama 3.1 405B model, processing 142 tokens per second with 131k context. The company's implementation utilizes Nvidia H200 SXM GPUs and speculative decoding technology to deliver twice the speed of OpenAI at half the cost, priced at $1 per million tokens with no rate limits.
The platform's integration capabilities span multiple data sources, including Google Analytics 4, Google Ads, and Facebook Ads. Avian supports all available metrics and dimensions through a real-time data syncing mechanism that employs short-lived, encrypted caches for efficient processing. The company's technical foundation leverages Next.js for web and native user interfaces, combining server-side rendering, static site generation, and incremental static regeneration.
Customer implementation is streamlined with a one-minute setup process, and the platform offers comprehensive support options including dedicated assistance for complex task execution and native tool calling capabilities. The API's security framework aligns with industry standards, featuring AICPA/SOC2 compliance, ISO 27001 certification, and strict data handling practices. All data transmissions employ SSL encryption, and access tokens are protected through advanced cryptographic methods.
Avian employs a multi-layered security framework that includes AICPA/SOC2 compliance and ISO 27001 certification. Their architecture ensures data security through strict access controls and encryption methodologies. All data transmissions occur over SSL-encrypted connections, with sensitive information protected through advanced cryptographic techniques.
The company follows industry best practices for server security, including hardened server environments and multi-factor authentication. All employee accounts require Multi-Factor Authentication (MFA) to ensure secure access. Avian publishes regular transparency reports detailing government data requests and compliance status.
The platform offers dedicated support for security concerns, providing comprehensive training programs on data protection, phishing awareness, and password management. These initiatives help ensure that both employees and customers understand best practices for secure data handling.
Access tokens are protected through advanced encryption methods, and data is managed using short-lived, encrypted caches. This approach ensures security without compromising performance or privacy. Your data is never stored permanently on Avian servers or databases, supporting the company's commitment to responsible data management.
The platform's multi-connector architecture enables seamless integration across a diverse ecosystem of data sources and destinations. With over 2000 companies currently using their connectors, Avian supports integration with major platforms including Google Analytics 4, Google Ads, Facebook Ads, and QuickBooks.
The company's connector system allows for the management of multiple accounts within each integration. For example, users can link multiple Google Analytics properties or Facebook Ads accounts under a single connector instance. Each connector type—such as Google Analytics or Facebook Ads—functions as the data extraction point, while supported destinations like Looker Studio or BigQuery consolidate and analyze the information.
Avian's platform handles multiple connector installations through a tiered subscription model. The basic Starter plan allows integration with a single connector, while more complex integrations requiring features like Google Sheets support necessitate the Business plan or higher. The enterprise-level integration with BigQuery requires the highest Business plan tier.
The company's data management approach prioritizes security and privacy. Connector data never resides on Avian servers or databases, and all data transmissions occur over SSL-encrypted connections. Your data is managed through short-lived, encrypted caches that ensure efficient processing without compromising security. This approach supports Avian's commitment to responsible data management while maintaining optimal performance.
Avian's implementation of multi-connector data management follows industry best practices, including AICPA/SOC2 compliance and ISO 27001 certification. Your data is protected through advanced encryption protocols, and all access tokens are secured with sophisticated cryptographic methods. The platform's infrastructure employs strict access controls and multi-factor authentication to safeguard against unauthorized access.
Avian's enterprise-grade platform powers some of the world's largest companies, including Bank of America, Boeing, and Salesforce. The company's comprehensive approach to support includes dedicated assistance for complex tasks and native tool calling capabilities, ensuring seamless integration with existing workflows.
The implementation process is streamlined with a one-minute setup for basic configurations. For more complex integrations requiring features like Google Sheets support, users need to subscribe to the Business plan or higher. The platform offers different subscription tiers to match specific needs, from the basic Starter plan supporting single connector installations to the enterprise-level plan required for BigQuery integration.
To help customers maximize their use of the platform, Avian provides comprehensive employee training programs covering security best practices, data protection, and advanced tool usage. The company requires both employees and users to enable Multi-Factor Authentication (MFA) for their accounts, enhancing security across the board.
When it comes to security concerns, Avian offers dedicated support resources to help customers manage their data securely. The company publishes regular transparency reports detailing government data requests and their compliance status, giving customers visibility into how their data is handled. All data transmissions occur over SSL-encrypted connections, and access tokens are protected using advanced cryptographic methods.
The platform's intuitive dashboard makes it easy to manage multiple connectors, each handling tens of thousands of companies' data. Avian's architecture is designed with security in mind, ensuring that no connector data resides on their servers or databases. Instead, data is managed through short-lived, encrypted caches that support efficient processing while maintaining strict privacy controls.
The platform's technical foundation, built on Next.js and Azure GPT technology, delivers production-grade performance without compromising security. Users enjoy twice the speed of OpenAI at half the cost, thanks to speculative decoding technology running on Nvidia H200 SXM GPUs. This robust infrastructure supports massive scaling with no rate limits, allowing users to handle growing workloads without additional constraints.
Avian's API pricing structure offers competitive rates starting at $1 per million tokens for enterprise-grade capacity, with no rate limits to support scalable operations. The pricing model applies across multiple model tiers, including the Meta Llama 3.1 405B, 3.3 70B, and 3.1 8B configurations.
Running on Nvidia H200 SXM GPUs and employing speculative decoding technology, the Meta Llama 3.1 405B processes at 142 tokens per second with 131k context capacity. The company's architecture also supports 131k context from Deepinfra and 8k context from SambaNova models.
The API handles production-grade workloads with native tool calling capabilities and real-time streaming functionality. Avian maintains privacy through live query processing without storing user data, while adhering to GDPR, CCPA, and SOC/2 compliance standards. The platform offers an additional privacy mode for secure chat interactions. All models process data with SOC/2 approved Open Source Foundation language models hosted on Microsoft Azure.
The technical foundation combines Next.js for web and native interfaces with Azure GPT technology. This robust infrastructure enables 1-minute setup for basic configurations, with the platform capable of managing thousands of companies' data through its multi-connector architecture.