Peak TOPS doesn't tell you how a system behaves once hundreds of agents are running at the same time. Orchestration does. @AMD just published a technical deep dive on agentic AI with AMD Ryzen™ AI Embedded X100 Series processors and mimOE, the mimik Agentix Operating Engine. In mimik modeling across 455 agentic AI workflows, X100 configurations sustained up to 2.3x more concurrent agents. #AgenticAI #PhysicalAI #mimOE #AMD @Fayarjomandi @siavashalamouti @SamArmani

Most enterprise AI programs are not stalled by budget or talent. They are stalled by three assumptions the industry inherited from the cloud era and never retested. We put them side by side with what our silicon work actually shows. Which one is slowing you down the most? Tell us in the comments. We have answers. #AgenticAI #AIInfrastructure #mimOE #DeviceFirstContinuum @FayArjomandi @SiavashAlamouti @MichelBurger @SamArmani

Most enterprise AI programs are not stalled by budget or talent. They are The hardest part of industrial AI is not the model. It is the thousand devices, five operating systems, and zero patience for manual setup. That is the problem our partnership with #Advantech attacks. Advantech's industrial hardware portfolio plus #mimOE means devices that find each other automatically. Zero-touch setup, dynamic discovery, and zero-trust security are built into the operating engine (runtime+), not bolted on by an integration team. Picture one factory line: 🔘 Vision agents on Advantech gateways inspect parts as they pass 🔘 A routing agent redirects flagged parts and alerts the line supervisor 🔘 The agents coordinate through multi-agent choreography, on the line, even if the plant's uplink drops No cloud round trips. No re-imaging devices. No forklift upgrade. The same pattern serves manufacturing, transportation, healthcare, and defense. #IndustrialAI #AgenticAI #mimOE #Advantech @Fayarjomandi @siavashalamouti @miburger @SamArmani @Advantech_eIoT @Advantech_IIoT

An #AIagent that only works in a demo is a demo. Our Agentic AI Production Center collaboration with Tech Mahindra exists to ship agents into the real world. At @tech_mahindra, teams design, develop, and commercialize Agentix-Native (aka Agentic AI) systems on real infrastructure: smartphones, drones, robots, and industrial sensors, all running #mimOE, all offline-first and cloud-capable. Why it matters: 🔘 Enterprises get a proven path from concept to deployed multi-agent system 🔘 Solutions are engineered on the hardware they will actually run on, not a simulator 🔘 Tech Mahindra's global engineering force, more than 150,000 professionals across 90+ countries, turns mimOE deployments into delivered programs As our CEO @Fayarjomandi said at launch: this is where physical AI becomes real. Exploring agentic AI for your operations? Ask us about a Production Center engagement. mimik.com/contact-us #AgenticAI #PhysicalAI #mimOE #TechMahindra @miburger @SamArmani @siavashalamouti

Analysts now put Agentic AI and physical AI at the top of the 2026 trend lists. We agree, with one addition. Physical AI only becomes real when agents can run on the machines themselves. Gartner Research names physical AI among its top strategic technology trends for 2026, and agentic AI leads its supply chain trend list. The direction is clear: AI is leaving the chat window and entering robots, vehicles, production lines and instruments. But a robot that needs a round trip to a data center to decide is not autonomous. It is remote-controlled. That is why mimik builds for the Device-First Continuum: mimOE puts an Agentix-Native (aka Agentic AI) operating engine (runtime+) on the machine itself, so agents perceive, decide, and act where the physics happens, offline-first and cloud-capable. Physical AI is a trend. Operationalizing it is a discipline. We wrote down how we practice that discipline in the mimik Physical AI manifesto: mimik.com/the-physical-ai-ma… #PhysicalAI #AgenticAI #DeviceFirstContinuum #mimOE @Fayarjomandi @siavashalamouti @SamArmani

In modeled agentic workloads, with mimOE, over 80 percent of the compute is CPU work: discovery, security, routing. The GPU is not the whole story. That finding shaped our latest release: mimOE Embedded Edition optimized for AMD Ryzen AI Embedded X100 Series. It brings full multi-agent systems to embedded devices: 🔘 Shared models load once and serve many agents, so multi-tenant deployments fit on a single device Built-in multi-agent choreography, zero-trust security, and network resilience 🔘 The same Agentix-Native (aka Agentic AI) runtime that powers AI PCs, now on embedded silicon As @AMD's Yousef Khalilollahi notes, #agentic AI is shifting compute toward workloads that exercise the CPU, GPU, and NPU together. #mimOE is how that shift reaches production hardware. OEMs, tier-1 suppliers, and system integrators: let's talk about what your devices could be running. [contact link] Developers: the embedded APIs match the desktop ones. Build once, deploy to both. developer.mimik.com/docs/ai-… @AMDembedded #EmbeddedAI #AgenticAI #mimOE #AMD #RyzenAI @siavashalamouti @Fayarjomandi @SamArmani

Physical/Edge AI asked where to put the model. The Device-First Continuum asks a better question: where does the work actually happen? The industry is moving beyond physical/edge AI to the Device-First Continuum. Here is what that means. In the Device-First Continuum, intelligence starts on the device and extends across gateways and cloud data centers. No tier is 'the' location for AI. Work executes wherever it makes the most sense at that moment. The building blocks: 🔘 mimOE: a 10 to 20 MB, OS-agnostic operating engine (runtime+) that turns any device into a node 🔘 mims: micro intelligence modules, small units of agent capability you compose like software 🔘 Multi-agent choreography: agents cooperate as peers across heterogeneous devices and operating systems, no central conductor required And because it is offline-first and cloud-capable, agents keep working when the network does not. @Fayarjomandi @SamArmani @siavashalamouti

Every Intel-powered AI PC in your fleet is more than a laptop. With mimOE, it becomes governance-ready AI infrastructure. This summer we announced a collaboration with Intel to optimize mimOE, our Agentix-Native operating engine, for AI PC platforms, integrated with the Intel OpenVINO toolkit. What that means in practice: - AI agents discover each other, route work, and execute directly on the PCs your teams already use - Everything runs inside enterprise governance boundaries with zero-trust security - No cloud tethering. No per-token charges. Your compute, your rules. As Dennis Luo, Senior Director at @Intel, put it: “mimik delivers an enterprise-ready way to discover, route, and govern Agentic AI workloads.” Our SVP @SamArmani said it best: “Intel-powered AI PCs offer enormous compute capability. With #mimOE, that compute becomes resilient infrastructure.” Developers: if you build with OpenVINO, mimOE gives your models a multi-agent operating engine (runtime+) on day one. github.com/mimik-mimOE Read the full announcement: mimik.com/mimik-device-first… @IntelBusiness #AIPC #AgenticAI #mimOE #Intel #OpenVINO @Fayarjomandi @siavashalamouti

The industry has solved intelligence. It has not solved operationalization. Roughly 90 percent of enterprise AI pilots never reach production. Not because the models are weak, but because there is no runtime to carry agents out of the demo and into the places where work actually happens: laptops, gateways, embedded boards, vehicles and production lines. This is the gap mimik closes. #mimOE, our Agentix-Native (aka Agentic AI) operating engine, is a 10 to 20 MB, OS-agnostic operating engine (runtime+) that lets AI agents run, cooperate, and stay governed on the devices you already own. Over the next month we will show what that looks like in practice: 🔘 AI PCs that become governance-ready AI infrastructure 🔘 Multi-agent robotic systems running on embedded silicon 🔘 Zero-touch industrial deployments 🔘 Agents shipped into real production If your AI program is stuck between pilot and production, this series is for you. Developers: #mimOE is small enough to try before your coffee cools. Start here: developer.mimik.com/ #AgenticAI #DeviceFirstContinuum #mimOE #AIInfrastructure @Fayarjomandi @siavashalamouti @SamArmani

#AgenticAI is a coordination problem before it is a hashtag#compute problem. In our tests on AMD Ryzen AI Embedded X100 processors, about 80% of agentic operations were CPU bound: orchestration, scheduling, coordination and reporting. Thanks, @AMDembedded and KV Thanjavur Bhaaskar, for the conversation with our founder and CEO, @Fayarjomandi, on why heterogeneous compute is what makes agentic AI deployable where data is created.

Agentic AI isn’t just a GPU workload. CPUs play a big role. Recent @mimiktech tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, supporting coordination, orchestration, scheduling and reporting. Watch @Fayarjomandi, founder and CEO of mimik, as she explains why heterogeneous compute matters for deploying agentic AI at the edge and describes her vision for open, collaborative and scalable systems. 🎥 Full interview: piped.video/8CFnJ5qwCrA

Hardware makers built managed device businesses because one-time margin is a hard way to grow. Agentic AI is the next thing those managed businesses should be selling, and right now they cannot, because there is nothing on the endpoint to manage. Once mimOE is on the fleet, there is. Agent identity to provision. Policy to author and enforce. Telemetry to route into the customer’s SIEM. Routing decisions between device, peer device and data center to tune. That is a managed service with real recurring surface area, sold on top of hardware the customer is buying anyway. Device as a Service was the first act. Governed agents on the fleet is the second. #DaaS #ManagedServices #AIPC #AgenticAI #EnterpriseIT @Fayarjomandi @siavashalamouti @SamArmani

Per-token pricing has a structural problem. The more successful your agent deployment gets, the worse your unit economics look. Usage scales, so the bill scales, so finance caps usage, so the deployment stops proving value. Teams are hitting this now, one quarter after launch. #mimOE runs Agentix-Native workloads on Intel-powered AI PCs the company already owns. Compute the enterprise already bought, sitting in a refresh cycle that is already funded. Consumption is not metered because there is no meter. For the CFO, AI infrastructure moves from recurring cloud spend to capex already in the plan. For the CEO, growth arrives with unit economics that survive scale. That argument sells more AI PCs than any TOPS number. #AIPC #UnitEconomics #CFO #AgenticAI #DeviceFirst @Fayarjomandi @siavashalamouti @SamArmani

The thing blocking your AI PC fleet order is not price. It is a question your CIO cannot answer yet. "Which agent did what, using which identity, on which device?" Employees are already installing agents into browsers, editors and email clients. Those agents behave like new hires with credentials, except no one onboarded them. The firewall does not see them. The cloud-native control plane stops at the device. Until that question has an answer, every agentic rollout stays a pilot, and every fleet decision waits. mimOE answers it on the device, on Intel-powered AI PCs, with the same control plane discipline as cloud. Agent identity distinct from the user. Authorization at the moment of action. Personal and enterprise contexts separated on the same machine. Governance is not the tax on the deployment. It is what unlocks it. #CIO #AIGovernance #AIPC #ZeroTrust #AgenticAI @FayArjomandi @SiavashAlamouti @SamArmani

A question worth more to PC makers than any benchmark: Which budget buys the laptop? Today, an AI PC is funded from the endpoint refresh line. It competes with monitors and docking stations, and it gets value-engineered down every cycle. An AI PC running mimOE is an infrastructure node. Workloads run on devices, across devices, and through gateways and data centers as one continuum. It discovers peers, routes work, enforces policy, and reports telemetry. That is infrastructure behavior, and it belongs on the AI infrastructure line. Same machine. Different budget. Different approver. Different ceiling. For anyone building the 2027 commercial client story, that reframe is the story. #AIPC #AIInfrastructure #DeviceFirst #OEM #Intel

Together, @mimiktech and Intel are amplifying the real-world potential of AI for enterprises. mimik’s mimOE is now optimized for AI PCs powered by Intel—giving enterprises public cloud-grade governance, resilience, security, and privacy directly on local client hardware. Beyond that, this partnership empowers organizations to scale agentic AI and run workloads seamlessly on-device. Learn more: ms.spr.ly/6013aEKot