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

DeepInfra is excited to support FLUX.2 from day zero, bringing the newest visual intelligence model from Black Forest Labs to our platform at launch. We make it straightforward for developers, creators, and enterprises to run the model with high performance, transparent pricing, and an API designed for productivity.
FLUX.2 introduces a new level of visual intelligence, moving beyond traditional pixel-only diffusion approaches. The model interprets lighting, physical relationships, and spatial structure with greater accuracy, producing images with higher realism, stronger coherence, and consistent character or product identity even in complex scenes.

DeepInfra is built for teams that need strong performance, transparent pricing, and dependable infrastructure. These strengths directly benefit FLUX.2 users.
Our NVIDIA-optimized infrastructure is designed specifically for diffusion workloads, delivering low latency, stable throughput, and smooth scaling during peak creative or production demand.
DeepInfra maintains predictable costs with simple usage-based billing. You can explore the model, run high-volume projects, or scale pipelines without financial overhead or long-term commitments.
Our OpenAI-compatible API integrates easily into existing systems. There is no complex setup or infrastructure management, allowing you to move quickly from testing to deployment.
With our zero-retention policy, your inputs, outputs, and user data remain completely private. DeepInfra is SOC 2 and ISO 27001 certified, following industry best practices in information security and privacy.
You can try FLUX.2 today through our model page or explore our documentation for integration examples, pricing, and workflow guides. The combination of FLUX.2's visual intelligence and DeepInfra's scalable infrastructure makes next-generation image creation available to everyone, from individual creators to enterprise teams. We're excited to support what you build next.
Kimi K2 0905 API from Deepinfra: Practical Speed, Predictable Costs, Built for Devs - Deep Infra<p>Kimi K2 0905 is Moonshot’s long-context Mixture-of-Experts update designed for agentic and coding workflows. With a context window up to ~256K tokens, it can ingest large codebases, multi-file documents, or long conversations and still deliver structured, high-quality outputs. But real-world performance isn’t defined by the model alone—it’s determined by the inference provider that serves it: […]</p>
Llama 3.1 70B Instruct API from DeepInfra: Snappy Starts, Fair Pricing, Production Fit - Deep Infra<p>Llama 3.1 70B Instruct is Meta’s widely-used, instruction-tuned model for high-quality dialogue and tool use. With a ~131K-token context window, it can read long prompts and multi-file inputs—great for agents, RAG, and IDE assistants. But how “good” it feels in practice depends just as much on the inference provider as on the model: infra, batching, […]</p>
The easiest way to build AI applications with Llama 2 LLMs.The long awaited Llama 2 models are finally here!
We are excited to show you how to use them with DeepInfra. These collection of models represent
the state of the art in open source language models.
They are made available by Meta AI and the l...© 2026 DeepInfra. All rights reserved.