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DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

We Benchmarked NVIDIA Vera, the CPU for Agents. Here's What We MeasuredLatest article
Published on 2026.07.21 by DeepInfraWe Benchmarked NVIDIA Vera, the CPU for Agents. Here's What We Measured

DeepInfra runs AI agents in production, so when NVIDIA built a CPU for agents, we measured it ourselves with our own harness, our own agent, and a methodology we locked before the hardware arrived.

Recent articles
DeepInfra Now Serves NVIDIA Nemotron 3 Embed: Frontier Retrieval for RAG and AgentsPublished on 2026.07.16 by Aray SultanbekovaDeepInfra Now Serves NVIDIA Nemotron 3 Embed: Frontier Retrieval for RAG and Agents

DeepInfra now serves NVIDIA Nemotron 3 Embed, the industry's leading open embedding model for enterprise search and agentic retrieval, available today in both 8B and 1B sizes.

Introducing the Flex Service Tier: Cheaper Inference When You Can WaitPublished on 2026.07.14 by DeepInfraIntroducing the Flex Service Tier: Cheaper Inference When You Can Wait

Run latency-tolerant work at 0.8× real-time — best-effort, sheddable, same OpenAI-compatible API.

Frontier-Level Agents on Open Models: LangChain Deep Agents + NVIDIA Nemotron 3 Ultra, Live on DeepInfraPublished on 2026.07.08 by Aray SultanbekovaFrontier-Level Agents on Open Models: LangChain Deep Agents + NVIDIA Nemotron 3 Ultra, Live on DeepInfra

Open models have reached frontier-level agent performance. Starting today, you can point LangChain Deep Agents at NVIDIA Nemotron 3 Ultra running on DeepInfra and get top-tier agent accuracy at roughly 10x lower cost than leading closed models.

Best SaaS Tools and API Providers for MiMo-V2.5Published on 2026.07.01 by DeepInfraBest SaaS Tools and API Providers for MiMo-V2.5

As LLM architectures grow increasingly complex, the introduction of the MiMo-V2.5 series represents a significant step forward in multimodal capabilities and massive context handling. Integrating a model with a 1M-token context window and native multimodal support (image, video, audio, text) introduces substantial infrastructure considerations. For developers and enterprise architects, the priorities are clear: managing inference […]

MiMo-V2.5 Model Documentation and Integration GuidePublished on 2026.07.01 by DeepInfraMiMo-V2.5 Model Documentation and Integration Guide

MiMo-V2.5 is a native omnimodal model developed by XiaomiMiMo, designed to process and understand text, image, video, and audio through a unified architecture rather than relying on “bolted-on” components for each modality. Built on a 310-billion-parameter Sparse Mixture of Experts (MoE) architecture — with only 15 billion parameters activated during inference — MiMo-V2.5 offers a […]

Best MiMo-V2.5 API Providers RankedPublished on 2026.07.01 by DeepInfraBest MiMo-V2.5 API Providers Ranked

Executive Summary: Selecting the right API provider for Xiaomi’s MiMo-V2.5 is critical for optimizing production workflows. Based on the benchmark research, DeepInfra is the best provider for raw speed and low latency (130+ tokens/second), while Xiaomi’s first-party API is the most cost-effective, offering unmatched prompt caching discounts. This guide breaks down the model’s MoE architecture […]