Jobs at First Batch Inc
Dria is a universal execution layer for AI, designed to optimize models for high-performance tasks on decentralized and local networks. It offers an open-source, crowdsourced Batch Inference API tailored for large-scale AI workloads, focusing on cost optimization and processing large datasets.
Dria is a universal execution layer for AI, designed to optimize models for high-performance tasks on decentralized and local networks. It offers an open-source, crowdsourced Batch Inference API tailored for large-scale AI workloads, focusing on cost optimization and processing large datasets.
Maintainer signals as of 8/11/2026
About First Batch, Inc.
Dria is the universal execution layer for AI, engineered for high-performance AI workloads on both decentralized and local networks. It is designed to optimize any model on any engine across all types of hardware. The project's services include Batch Inference, DNET, Research, and Edge AI. Dria’s Batch Inference API is an open-source, crowdsourced tool optimized for massive AI workloads, making it ideal for processing large amounts of data, reducing inference costs, and conducting large-scale offline evaluations. It supports a wide variety of models, including Claude, Gemini, Gemma, GPT, Llama, and Mistral, and provides key benefits like low-cost inference for large jobs, high throughput, and asynchronous processing.
About First Batch, Inc.
Dria is the universal execution layer for AI, engineered for high-performance AI workloads on both decentralized and local networks. It is designed to optimize any model on any engine across all types of hardware. The project's services include Batch Inference, DNET, Research, and Edge AI. Dria’s Batch Inference API is an open-source, crowdsourced tool optimized for massive AI workloads, making it ideal for processing large amounts of data, reducing inference costs, and conducting large-scale offline evaluations. It supports a wide variety of models, including Claude, Gemini, Gemma, GPT, Llama, and Mistral, and provides key benefits like low-cost inference for large jobs, high throughput, and asynchronous processing.
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