Two years ago we built @openInfer around CPUs being central to agentic AI. Everyone said we were wrong. NVIDIA just shipped "the CPU for agents." @intel's CEO called the CPU "the indispensable foundation of the AI era." CPU:GPU ratios moving from 1:8 → 1:1. The ground moved. openinfer.io/news/2026-06-09… #openinfer #inference #heterogenous

60 days. Three deals. One bet: agentic inference will not run on one chip. → Feb 24: Intel Xeon + SambaNova → Mar 13: NVIDIA Rubin + Groq LPX (disaggregated inference) → Last week: Meta + millions of AWS Graviton CPU cores Three stacks. Three processor mixes. One pattern. ━━━━━━━━━━ NVIDIA said it bluntly: "prefill and decode place different demands on hardware." Layer agentic behavior on top (tool calls, planning, retrieval, verification, multi-agent coordination) and the demands shift again on every step. The future of AI infrastructure isn't more GPUs. It's more kinds of compute, coordinated across a topology. ━━━━━━━━━━ Three things change once multi-processor agentic inference is the default: → Accelerator door opens. Every credible silicon player gets a seat. → Tail latency becomes an architectural decision, not a tuning problem. → Scalability shifts axis. Agentic inference > model inference. ━━━━━━━━━━ At @openInfer we call this vertical disaggregation. First proof point: Intel Xeon CPU + NVIDIA GPU. +50% capacity, zero additional GPUs. The harder problem is dynamic workloads, multiple models, across aggregated hardware. That's what agentic inference actually is: multiple SLAs, multiple models, dynamic behavior changes, served by multiple compute topologies. → Intel: CPU + accelerator layer → NVIDIA: GPU + LPU layer → Meta: CPU layer → Next race: the orchestration layer that knits them together Sources: Intel + SambaNova: newsroom.intel.com/data-cent… NVIDIA Groq 3 LPX: developer.nvidia.com/blog/in… Meta + AWS Graviton: aboutamazon.com/news/aws/met… Vertical Disaggregation (OpenInfer): openinfer.io/news/2026-04-20… #A

We just published how we unlocked +50% inference capacity on a 27B model — no new GPUs, no new nodes, at a fraction of the cost. Turns out the CPU sitting next to your GPU isn't dead weight. We just had to stop treating it like it was. Full breakdown ↓

@AnthropicAI's @openclaw Restrictions Exposed a Deeper Infrastructure Problem. OpenInfer Is the Fix and its free. We at @openInfer unlock and round background agents to hardware topologies that are designed for them: same model, fraction of the cost. Drop-in replacement. Zero code changes. FREE beta live now openinfer.io/beta discord.gg/sBQSSXue #openinfer #openclaw #anthropic #agenticAI

probably an infra that is built for agentic applications. thoughts? something we have been cooking @openInfer xitter.cf/bastani_behnam/status/…

@OpenAI tripling revenue. @AnthropicAI at $14B ARR. @nvidia at $130B. Who's paying? Enterprises. But change is coming — cheaper AI, new competitors, margin compression. Some companies will get devalued. Others will explode. That's exactly why we built @openInfer Featured in @CIOonline cio.com/article/4137678/ai-r…

🎙️ New Podcast Episode I joined The Software Leaders UNCENSORED Podcast to talk about why the future of AI is at the edge and how we are building OpenInfer to make reliable, secure, and energy efficient physical AI possible. Here is what I cover: • How my experience across @Meta , @Google , and @Roblox shaped @openInfer's edge first mission • Why AI needs to run where data is created and how our unified stack makes that real • How we push innovation through custom inference and system mementos to bring datacenter level AI to the edge • What I learned from 250 enterprise leaders on why most AI projects fail • How to stay ahead in a field that changes every 90 days Full episode link in the comments. #AI #openinfer #edgeai #inference

Bringing inference to edge requires massive innovation around Memory system. Restructuring how inference on edge should be run, we are sharing a capability to remove the lack of meaningful on-device memory. Our latest release lets models hold persistent context, reason over larger spans, and collaborate intelligently. all running locally on the OpenInfer engine. This is how we break past edge memory limits. 🔗 openinfer.io/demos/mementos/ #edgeAi #openinfer #mementos #inference