Batch inference 2

Low-cost, scalable inference for high-volume AI workloads Doubleword is an AI inference platform for high-volume workloads, offering OpenAI-compatible access to open-weight language, vision, OCR, and embedding models. It supports real-time, async, and approximately 24-hour batch inference, allowing users to trade latency for substantially lower token costs. Doubleword is designed for agentic reasoning, evaluations, synthetic data generation, annotation, extraction, coding workflows, and large-scale data processing. Its inference stack includes optimization technologies such as FlashOffload, Speculative KV Coding, and Cloudburst to improve throughput, cache efficiency, and startup times.

AI cloud platform for serverless inference and fine-tuning with cost savings. kluster.ai is an AI cloud platform offering serverless inference and fine-tuning with higher rate limits, predictable performance, and cost savings of up to 50%. It provides a developer-friendly AI cloud with tools for AI inference, scalable AI solutions, batch and real-time AI inference, cost-effective AI tools, and AI integration tools. It supports LLM batch processing and models like LLAMA 3.3, LLAMA 3.1m, and DeepSeek-R1.