Huge news: Clarifai has agreed to license our AI inference & compute orchestration IP — plus the patent portfolio behind it – to @nebiusai. Our core team is joining them to keep building. Our technology becomes a key part of Nebius Token Factory, the inference platform inside their full-stack AI cloud. Faster inference. Bigger scale. Can't wait to ride this rocket ship and build the foundation for the next decade of AI inference. 🚀

Clarifai 12.3: Introducing KV Cache-Aware Routing! 🚀 LLM inference with multiple replicas typically uses random load balancing. But replicas aren't interchangeable. Each builds up different KV cache state from the requests it processes. When requests land on replicas without relevant context cached, models recompute everything from scratch. This wastes GPU cycles and increases latency. KV Cache-Aware Routing automatically detects prompt overlap and routes requests to replicas with relevant cache state already loaded. Shared system prompts are computed once and reused. RAG context is cached when multiple users query similar documents. Zero configuration required. Deploy a model with multiple replicas and it works. Also new: Warm Node Pools for faster scaling, Session-Aware Routing to keep user requests on the same replica, Prediction Caching for identical inputs, and Clarifai Skills for AI coding assistants. Read the full release blog: clarifai.com/blog/clarifai-1…

Do you feel the need for speed? Come learn how Clarifai breaks speed records for inference across multiple models at Booth #405 at #humanx.

Day 2 at HumanX! 🚀 Clarifai Reasoning Engine is running at booth #405. Custom CUDA kernels, speculative decoding optimized for reasoning workloads, and adaptive optimization. That's how we deliver 500 TPS on Kimi K2.5 and lead on Qwen3.5 and other top reasoning models benchmarked by Artificial Analysis. But software optimization is only half the story. Tomorrow at 11 AM, Alfredo Ramos (our CPTO) is presenting with @Vultr on the infrastructure side: how to design network architecture that scales from edge deployments to hyperscale data centers for AI workloads. Vultr Theatre Session at booth #825.

Day 1 at HumanX! 🚀 Clarifai is at booth #405 showing how we're running reasoning models in production. We hit 500 TPS on Kimi K2.5 - first provider to cross that threshold - and we're currently leading on Qwen3.5 at 290 TPS on Artificial Analysis benchmarks. Getting that performance requires more than optimized inference code. You need network infrastructure built for AI workloads from the ground up. Tomorrow at 11 AM, our VP of Strategy Sajai Krishnan is presenting on exactly that: building AI data centers that can handle edge to hyperscale deployments. @Vultr Theatre Session at booth #825.

Vendor lock-in is the biggest AI infrastructure risk nobody's planning for. The attempted federal ban on Anthropic in late February exposed what happens when you build your entire AI stack on a single vendor. Government agencies and contractors scrambled overnight. The ban was blocked by a federal judge as illegal retaliation, but the lesson stands: you're one policy decision away from a forced migration. Building on a single API means when that vendor becomes unavailable, you're rebuilding from scratch. Claude today. GPT tomorrow. Gemini if you have to. Your infrastructure should handle that swap without breaking. That's how Clarifai is built. Deploy any open-source reasoning model on your own infrastructure - Kimi K2.5, Qwen3.5, GLM, or your own fine-tuned models. We're leading on Kimi K2.5 and Qwen3.5 on Artificial Analysis benchmarks because the infrastructure is purpose-built for reasoning workloads, not locked to a single model. Build your AI stack so you can swap the engine without rebuilding the car.

Clarifai is heading to HumanX 2026 in San Francisco. 🚀 At GTC this week, we announced 414 tokens per second on Kimi K2.5 - first provider to reach this performance. We're also leading on Qwen3.5-397B with 290 TPS, benchmarked by Artificial Analysis. Now we're bringing that momentum to #HumanX April 6-9. Come see how Clarifai Reasoning Engine delivers production-ready performance for reasoning models and agentic workloads. Find us at booth #405 or schedule time with Matthew Zeiler, Sajai Krishnan, or Douglas Shapiro. Book a meeting here: clarifai.com/clarifai-at-hum…