Reports
AI-generated structured vendor updates
Check Point launches AI orchestration platform, acquires Deepchecks to dominate security control plane
Check Point unveils Agentic Network Security Orchestration Platform, converting static firewall rules to intent-based policies via a proprietary network knowledge graph. Acquires Deepchecks' LLM team for continuous evaluation and monitoring. Four modules: Intent-to-Policy, Zero Trust tightening, Autonomous Troubleshooting, Continuous Compliance.
Google Cloud Multi-Agent Architecture Shifts Control from Human to Autonomous Verification
Google Cloud introduces agent-scale data management with multi-agent verification to reduce human oversight. Deploys six Gemini agents with Nokia for autonomous network operations. Amazon plans to commercialize Trainium chips, intensifying AI hardware competition against Google TPU and Nvidia GPU.
Qualcomm Dragonfly: 250-core CPU, HBC memory, UALink interconnects target AI inference TCO
Qualcomm unveils full data center portfolio: Dragonfly C1000 250-core Oryon CPU (>5GHz, PCIe Gen7, CXL), HBC near-memory compute (133TB/s Gen1, 18x-54x effective BW), AI300 inference accelerator (UALink/ESUN scale-up), and 800G/1.6T connectivity. Multi-year Meta CPU deal. Commercial sampling 2027-2028. Targets inference TCO with tokens-per-watt leadership.
NVIDIA Launches Agent Toolkit: Nemotron Models, OpenShell Runtime for Specialized AI Agents
NVIDIA unveils Agent Toolkit, an open modular foundation with Nemotron models, NemoClaw blueprints, and OpenShell runtime, enabling enterprises to build secure, specialized AI agents. It targets life sciences, cybersecurity, and industrial workflows, aiming to turn frontier models into domain-specific digital coworkers.
AWS Seizes Agent Control Plane with MCP Gateway and AgentCore
AWS launches managed web search for Bedrock AgentCore, autonomous agents in Amazon Quick, subagent MicroVM orchestration with LangChain, and MCP Gateway, shifting enterprise AI agents from prototypes to governed infrastructure with cloud-native control planes and execution isolation.
HPE Consolidates Morpheus & GreenLake into Unified Agentic Control Plane for Hybrid Cloud and AI
HPE integrates Morpheus software into GreenLake, delivering a unified agentic orchestration and control plane for AI factories and traditional workloads. GreenLake Intelligence advances agentic AIOps, with partnerships with ServiceNow and Citrix, aiming to reduce virtualization costs and simplify hybrid cloud operations under a single operating model.
Cisco AI Defense Adds Agent Harness Red Teaming for Agentic AI Security
Cisco introduces Agent Validation in AI Defense: Explorer Edition, a dedicated red-teaming capability for agentic AI systems. It autonomously probes agent harness attack surfaces, including tool routes, indirect content channels, and persistent state, providing verified findings beyond chat-based security assessments.
AMD MLPerf 6.0: MI350 GPUs Achieve 3.5x Leap with MXFP4, Debut Multi-Node Training
AMD submitted its most comprehensive MLPerf Training 6.0 results, including first multi-node training (FLUX.1 on 512 GPUs) and MXFP4 training recipe. MI355X delivers 3.5x generational leap over MI300X on Llama 2-70B, within 5% of NVIDIA B200. 10 ecosystem partners validated reproducibility.
NVIDIA and HPE Expand AI Factory with Vera CPU for Agentic AI, Full-Stack Integration
NVIDIA and HPE expand the HPE AI Factory with the Vera CPU, the first CPU built for agentic AI, plus the NVIDIA Agent Toolkit, Confidential Computing, and full-stack NVIDIA integration (Spectrum-X, BlueField, ConnectX). This turnkey solution targets enterprise agentic AI production, locking customers into NVIDIA's hardware-software stack.
AMD Open-Sources AI Software Stack on Vultr, Taking on NVIDIA CUDA Ecosystem
AMD launches a suite of open-source, modular enterprise AI software components on Vultr Marketplace, including AMD Inference Microservices (AIMs), AI Workbench, Resource Manager, and Solution Blueprints. This aims to provide production-grade AI infrastructure without vendor lock-in, directly challenging NVIDIA's CUDA ecosystem.
DXC and Anthropic Forge Multi-Year Alliance: Claude-Certified Engineers for Mission-Critical AI
DXC Technology and Anthropic announce a multi-year global partnership, making DXC a Global Premier partner in the Claude Partner Network. They will train tens of thousands of Claude-certified engineers to deploy Claude models in mission-critical environments via the DXC OASIS platform, using a 'Customer Zero' internal validation approach.
NVIDIA Vera CPU: Seizing the AI Agent Control Plane from x86
NVIDIA unveils Vera CPU, purpose-built for AI agents, featuring 88 Olympus cores and 1.2TB/s LPDDR5X memory. Claiming 1.8x faster task completion over x86, it targets agentic AI workloads. Customers include Anthropic, OpenAI, and Oracle Cloud Infrastructure, signaling a shift of the AI control plane to NVIDIA's ecosystem.
Anthropic Locks Regulated Industries via DXC: Claude-Certified Engineers and OASIS Platform as New Control Points
Anthropic forms a global alliance with DXC Technology, training tens of thousands of Claude-certified forward-deployed engineers to embed Claude into mission-critical systems for banks, airlines, and regulated industries. DXC's OASIS platform defaults to Claude, with over 95% of its code generated by Claude, creating deep dependency.
Graviton5 + Nitro Formal Verification: AWS Locks AI CPU Control with ARM and Math
AWS launches Graviton5-based M9g/M9gd instances with 25% compute gain, PCIe Gen6, DDR5-8800, and the first formally verified cloud hypervisor (Nitro Isolation Engine). Meta deploys tens of millions of cores for agentic AI, marking a decisive ARM victory in cloud CPU.
AMD EPYC Challenges Rack-Scale Density for Agentic AI Control
AMD claims its EPYC processors lead in rack-scale performance for agentic AI's CPU-intensive services (orchestration, caching, databases). Under a 100kW rack model, EPYC 9965 'Turin' delivers 2.37x throughput over NVIDIA Vera, with next-gen 'Venice' projected at 3.30x. Emphasizes deployability on current x86 platforms, avoiding future architecture dependency.
NVIDIA Nemotron 3 Ultra: A MoE-Based Control Plane for Cost-Efficient AI Agent Orchestration
NVIDIA launches Nemotron 3 Ultra, a 550B-parameter MoE model (55B active) purpose-built for AI agent orchestration. Featuring Multi-Teacher On-Policy Distillation (MOPD) and a Hybrid Mamba-Transformer architecture, it achieves 5x throughput and 30% cost savings on tasks like SWE-bench, signaling a shift of reasoning control to a layered agent system.
Cisco Silicon One Expands to Campus: Chip-Embedded Control Locks Agentic AI Networks
Cisco extends Silicon One to campus with C9550/C9350 switches and Cloud Control, embedding distributed visibility, sustained high throughput, and adaptive programmability directly into the silicon. Deep on-chip buffering, identity-aware forwarding, and sub-second policy updates shift control from perimeter devices to chip and cloud-native orchestration, targeting agentic AI workloads.
Cisco Agent Gateway: Zero Trust Evolves from Access to Action Control for AI Agents
Cisco launches Agent Gateway for Secure Access, extending Zero Trust from access control to action-level control for AI agents. Using Duo for agent identity, it enforces policies across LLMs, MCP servers, and SaaS APIs, with server-side credential injection and unified audit—addressing the unique security challenges of autonomous agent workflows.
Intel at Computex 2026: 18A, Rackscale, and the Shift to CPU-Centric AI Orchestration
Intel unveils Core Ultra Series 3 on 18A, Xeon 6+ with 288 e-cores, a hybrid local inference orchestrator with Perplexity, rackscale AI infrastructure with Foxconn, and disaggregated inference cloud with SambaNova. The keynote positions the CPU as the central orchestrator for agentic AI, signaling a control plane shift from GPU to x86.
Intel and SambaNova Rackscale AI: CPU Regains Inference Control Plane
At Computex 2026, Intel unveiled rack-scale AI infrastructure combining Xeon 6+ with SambaNova SN-50 RDUs, plus a fully disaggregated inference cloud (prefill on NVIDIA Blackwell, decode on RDUs) by Vector Core Compute. This aims to reposition the CPU as the central orchestrator for inference, challenging GPU dominance.