Networking Watch: Qualcomm + Amazon Multi-Generation AI Silicon Deal, HPE Deepens Oracle AI Networking Tie-Up

The CODEW Networking Watch | September 10, 2026

1.6T Ethernet Turns the Network Into AI's Strategic Backbone

The most important development this week is that 1.6T Ethernet is moving from lab demos and standards work into production-grade AI fabrics, making the network a first-order constraint on GPU utilization and cluster scale. The Optical Internetworking Forum (OIF) published its 1600ZR coherent interface implementation agreement, defining an interoperable 1.6T coherent line interface for amplified DWDM links up to 120 km. Qualcomm and Amazon announced a multi-generation AI silicon deal co-developing custom inference chips and 1.6T optical interconnects for AWS data centers. Dell'Oro reported that AI back-end switch sales surpassed front-end for the first time, driven by 200G-per-lane interfaces and the 800G→1.6T optics transition. The network is no longer a passive underlay — it is the strategic control point for AI scale, power efficiency, and economics.

Standards Milestone

OIF Publishes 1600ZR Coherent Interface IA, Doubling Capacity per Wavelength for DCI

The Optical Internetworking Forum released its 1600ZR coherent interface implementation agreement, defining an interoperable 1.6T coherent line interface for amplified DWDM links up to 120 km — doubling 800ZR capacity per wavelength for data-center interconnects (DCI). The IA enables a single 1.6T Ethernet client over one wavelength, critical for linking AI campuses and metro clusters without optical fragmentation. It provides the interoperable coherent layer needed to move 1.6T from lab demos into production AI fabrics.

Hyperscaler Deal

Qualcomm + Amazon Announce Multi-Generation AI Silicon Deal With 1.6T Optical Interconnects for AWS

Qualcomm and Amazon announced a multi-generation AI silicon deal, co-developing custom AI inference chips and 1.6T optical interconnect solutions for AWS data centers. The deal signals vertical integration of compute and connectivity — with Qualcomm leveraging its advanced SerDes and optical DSP technology to deliver the high-speed interconnects AWS needs to scale AI clusters. This is one of the clearest signals yet that hyperscalers are locking in multi-generation silicon and optics partnerships to guarantee capacity and performance.

Ecosystem Readiness

Ethernet Alliance Stages Multi-Vendor 1.6T Demo at ECOC 2026; IEEE P802.3dj Near Finalization

The Ethernet Alliance staged a multi-vendor 1.6T demo at ECOC 2026, showcasing OSFP connectivity and 224G SerDes link training as IEEE P802.3dj advances. The 200G–1.6T Ethernet standard reported 99% approval in its fourth recirculation ballot, signaling near-term standardization for 1.6T electrical and optical interfaces. The Ethernet Alliance's roadmap places 1.6 TbE as a next-generation technology for AI scale-up and scale-out networks, aligning with hyperscaler deployment timelines.

Market Shift

Dell'Oro: AI Back-End Switch Sales Surpass Front-End for the First Time

Dell'Oro Group reported that AI back-end switch sales surpassed front-end for the first time, driven by 200G-per-lane interfaces and the 800G→1.6T optics transition. High-radix switching — 51.2 Tb/s (64×800G) switches — is now baseline for AI back-ends, with 1.6T switches sampling and volume expected in late 2027 or early 2028. Dense spine-leaf architectures with 51.2T and 102.4T switches and oversubscription tuned for all-reduce patterns are becoming standard for scale-out training. The milestone confirms that AI workloads — not traditional cloud networking — now drive the switching market.

Fabric at Scale

HPE Deepens Oracle AI Networking Tie-Up With RoCEv2 Congestion Management and Intelligent Telemetry

HPE is deploying high-density QFX switches with RoCEv2 congestion management and intelligent telemetry across Oracle's AI estate, targeting large RoCEv2 fabrics with dynamic load balancing. The rollout includes telemetry to detect queue build-up, packet loss, and traffic imbalances before they throttle GPU training. As GPU clusters grow to tens of thousands of accelerators, even small fabric inefficiencies — head-of-line blocking, ECN misconfiguration, buffer bloat — translate into millions in lost training throughput. HPE's multi-year expansion deepens its tie with Oracle and reflects the growing importance of fabric-aware scheduling and telemetry in AI data center networking.

Test & Validation

VIAVI Expands 1.6T/3.2T Test Portfolio, Positions TestCenter D2 as First UET Validation Solution

VIAVI expanded its 1.6T and 3.2T test portfolio, including AI fabric validation for Ultra Ethernet Transport (UET) and L0–L3 high-speed Ethernet testing. VIAVI's TestCenter D2 is positioned as the first UET validation solution for AI fabric testing, addressing latency hotspots and fault-tolerance gaps that limit cluster scalability. High-fiber-count certification (DCX-700) and 1.6T pluggable test modules (ONE-1600) are becoming standard in AI campus builds. As optics now dominate the bill of materials for AI fabrics, validation tooling has become a strategic enabler for hyperscaler and cloud deployments.

Network Security

AI-Driven Cyberattacks Accelerate as Zero Trust for Non-Human Identities Matures

Autonomous AI attacks are accelerating: Anthropic's Mythos 5 demonstrated autonomous end-to-end network compromise (Cyber Weapon Index score 80), and Palo Alto Unit 42 documented the first confirmed AI-agent-launched breach in under 10 hours. NSA cyber hygiene guidance emphasizes unpatched systems, misconfigured networks, weak authentication, poor segmentation, and weak monitoring as key vulnerabilities — calling for zero trust practices and continuous monitoring. Zero Trust for non-human identities is maturing, with frameworks now calling for discovering and inventorying agents, assigning identity and ownership, enforcing least privilege and JIT access, continuous verification, and behavior monitoring with automatic revocation. As agents outnumber humans 40:1 in some enterprises, network security must treat AI agents as privileged non-human identities with scoped credentials and runtime controls — or they become high-speed lateral movement vectors.

Networking Shift

Is networking becoming the bottleneck — and therefore the strategic control point — in AI infrastructure? Yes. Three signals confirm this:

Capacity and standards: 1.6T Ethernet and 1600ZR coherent optics are moving from interoperability demos to production, with IEEE P802.3dj near finalization and multi-vendor ECOC demonstrations.
Economic weight: AI back-end switch sales have surpassed front-end for the first time, and optics now dominate AI fabric bills of materials, making the network a primary cost and performance lever.
Operational criticality: Congestion management, telemetry, and UET validation are now central to GPU utilization; small fabric inefficiencies translate directly into lost training throughput and higher cost per token.

The network is no longer a commodity underlay. It is a strategic asset that determines how efficiently AI clusters scale, how much power they consume per unit of compute, and how quickly new GPU generations can be absorbed.

Technology Landscape at a Glance

Layer	Key Development	Strategic Implication
Coherent DCI	OIF 1600ZR IA published; 1.6T per wavelength up to 120 km	AI campus and metro interconnect without optical fragmentation
Switch Silicon	51.2 Tb/s baseline; 1.6T switches sampling, ramp 2027–2028	High-radix switching becomes default for AI back-ends
Optics	Silicon photonics, CPO, multicore fiber ($558M → $1.32B by 2036)	Optics now dominate AI fabric bill of materials; power/bit is the key metric
Transport	RoCEv2 at scale; UET validation; telemetry for congestion control	Fabric-aware scheduling is now required for GPU utilization
Cloud Integration	Qualcomm–Amazon custom silicon + 1.6T optics; HPE–Oracle	Vertical integration of compute and connectivity accelerates
Security	Mythos 5 autonomous compromise; Unit 42 AI-agent breach; Zero Trust for NHI	AI agents as non-human identities require runtime controls and scoped credentials

CODEW Analysis

The market-level conclusion: AI infrastructure is becoming a data-movement race, and 1.6T Ethernet plus coherent optics are the new moat.

Hyperscalers (AWS, Oracle) are securing multi-generation silicon and optics partnerships to guarantee capacity and performance.
Vendors with 200G-per-lane silicon, 1.6T switches, and interoperable coherent optics — Arista, Broadcom, Nvidia, Coherent, Lumentum — are best positioned to capture value as legacy 100G-centric portfolios face obsolescence in AI back-ends.
Enterprises that treat networking as plumbing will face higher AI total cost of ownership and slower time-to-value; those that adopt fabric-aware designs, telemetry, and Zero Trust for agents will extract more performance per watt and per dollar.

Strategic Takeaway

For network operators, cloud providers, enterprise buyers, and investors: prioritize 1.6T-ready fabrics, coherent DCI, and AI-grade telemetry now. The network is the bottleneck — and the control point — for AI scale.

For network operators: Treat optics, switch ASICs, and agent-aware security as strategic investments, not commodities. 1.6T readiness will become a minimum competitive requirement by 2028.
For cloud providers: Vertical integration of compute and connectivity is the new strategy. Multi-generation silicon and optics partnerships are locking in capacity ahead of demand.
For enterprise buyers: Legacy WAN designs will face latency and cost penalties as AI workloads demand predictable, high-throughput paths to cloud and colocation AI clusters. Plan for fabric-aware modernization now.
For investors: Watch vendors with end-to-end 200G-per-lane portfolios (silicon → optics → systems → test) — they will consolidate share, while point players without 1.6T roadmaps risk marginalization in AI back-ends.
For security leaders: As agents outnumber humans 40:1 in some enterprises, Zero Trust for non-human identities is no longer optional. Agent inventories, scoped credentials, and runtime controls are the new perimeter.

What to Watch Next Week

ECOC 2026 (Sept 21–23, Málaga): Multi-vendor 1600ZR and 1.6T Ethernet interoperability demonstrations; new 1.6T/3.2T test solutions from VIAVI and others.
1.6T switch sampling updates: Additional vendor announcements on 1.6T switch silicon and system availability ahead of the H2 2026 ramp.
Ultra Ethernet Consortium developments: Further adoption of UET specifications and validation tooling for AI fabrics.
Hyperscaler infrastructure spending: New disclosures on AI data center build-outs and optical interconnect deployments from AWS, Oracle, and peers.
AI agent security frameworks: New guidance or product launches around Zero Trust for non-human identities and agentic SOC capabilities.

The CODEW Stat

1.6 Tbps — the next major Ethernet and optical connectivity milestone now moving from standards and interoperability work toward commercial AI infrastructure deployments. OIF's 1600ZR IA doubles capacity per wavelength vs 800ZR; IEEE P802.3dj is near finalization; and AI back-end switch sales have already surpassed front-end for the first time — signaling that the 1.6T era has arrived.

Source Attribution

BusinessWire: OIF Releases Critical 1600ZR Coherent Interface IA
SiliconANGLE: Cisco Delivers Edge Computing AI Award
IEEE ComSoc Tech Blog: Ethernet Alliance ECOC 2026 Multi-Vendor 1.6T Demo
StockTitan: VIAVI to Showcase End-to-End Data Center Testing Portfolio
Longbridge: VIAVI 1.6T/3.2T Test Portfolio and UET Validation
Future Market Insights: AI Campus Fiber Capacity Planning Software Market
Yahoo Tech: First Agentic Attack — AI Reshaping Cybersecurity

The CODEW