AI Compute Moves Beyond The Cloud Wrapper A compelling story by Gyana Swain (@mrgyan) in @NetworkWorld on how @Google and @Blackstone are creating a new route for enterprises to access Google TPUs outside the traditional Google Cloud consumption model. The link to the story is attached, but for deeper analysis on this topic, head over to greyhoundresearch.com. Below is a snapshot of what we at Greyhound Research had to say on the topic. At @Greyhound_R, we believe this venture is an early signal that AI infrastructure is separating from the traditional hyperscaler cloud bundle and becoming its own economic layer. This is not merely Google finding another channel for TPUs. It is Google changing the wrapper around AI compute while retaining control over the silicon, software, and optimisation layers that matter. The structural shift is clear. AI compute is no longer governed only by elastic cloud economics. It is constrained by accelerator access, power availability, interconnect density, cooling, data centre capacity, financing structures, and sovereignty requirements. These are infrastructure constraints, not conventional software constraints. The reported structure matters because Blackstone’s initial $5 billion equity commitment and the 500 MW capacity target by 2027 point to AI compute becoming an energy-scale, finance-backed asset class. Private capital is entering because the bottleneck is not just the chip. It is the powered, cooled, connected, financeable site. The market should not misread this as a clean Nvidia replacement story. TPUs will pressure @Nvidia in specific workload classes, especially where performance per watt, scale, and predictable inference economics matter. But Nvidia’s ecosystem depth, CUDA familiarity, tooling, and operational maturity will remain significant enterprise advantages. For CIOs, the implication is immediate. AI must be procured as a portfolio of capacity, not as a feature of cloud. Model selection, accelerator sourcing, orchestration, governance, observability, sovereignty, and energy exposure now carry separate commercial and risk profiles. At this scale, advantage comes from placement discipline, not platform announcements. Inference economics will matter far more than model prestige. networkworld.com/article/417… #GreyhoundStandpoint #AIInfrastructure #CloudComputing #DataCentres #TPU #CIO

IBM sends signals with its $10 billion quantum pledge spr.ly/6018BD1CSn

Well said @zkerravala

IBM, ServiceNow team to bring AI to legacy enterprise systems spr.ly/6012B8Aly6

NetBox at 10: Network inventory tool now a full infrastructure intelligence platform spr.ly/6018B87TLs

Marvell announces 102.4 Tbps switch silicon built for AI spr.ly/6015B8f4qf

@Zscaler unveiled what it calls the first complete zero trust platform for agentic AI. Dell’Oro Group’s Mauricio Sanchez says #ZeroTrust must now extend beyond users and devices to AI agents themselves. networkworld.com/article/418… @NetworkWorld

@Zscaler unveiled what it calls the first complete zero trust platform for agentic AI. Dell’Oro Group’s Mauricio Sanchez says #ZeroTrust is only one piece of the AI security puzzle, now extend beyond users and devices to AI agents themselves. networkworld.com/article/418… @NetworkWorld

New research from EMA's Shamus McGillicuddy, featured in @NetworkWorld, reveals growing challenges around talent shortages, tool sprawl, hybrid and multi-cloud complexity. Read the full article here: networkworld.com/article/418…

#AI data flows aren't just heavy—they break traditional #DataCenter networking. #Neocloud architectures fix the bottleneck AND keep GPU costs up to 85% lower.   Read the breakdown from @NetworkWorld. hubs.ly/Q04kPLdp0

Fibre Becomes AI’s Fourth Infrastructure Constraint A compelling story by Prasanth Aby Thomas (@aby_journalist) in @NetworkWorld on @Meta $6 billion, multi-year fibre supply agreement with Corning and what it signals for AI infrastructure scale-out. The link to the story is attached, but for deeper analysis on this topic, head over to greyhoundresearch.com. Below is a snapshot of what we at Greyhound Research had to say on the topic. At @Greyhound_R, we believe fibre availability has moved from procurement detail to strategic gating factor for AI infrastructure. The Meta-Corning agreement confirms a wider shift: AI scale is no longer constrained only by GPUs, power, or cooling. The network is becoming a first-order dependency. AI workloads create massive east-west traffic inside clusters and rising inter-campus traffic across data centre regions. That traffic needs low latency, predictable capacity, and dense optical paths. The old assumption that fibre is abundant, cheap, and quickly provisioned is now being tested by hyperscale AI buildouts and parallel broadband programmes. The bigger issue is not fibre alone. The networking wall spans fibre availability, switching density, optical transceiver heat and supply, and architecture. More bandwidth will not fix weak fabric design. Many enterprise networks built for VM or container traffic were never designed for all-to-all GPU communication, bursty checkpointing, or multi-region inference. Hyperscalers understand this and are moving from buying network capacity to securing it. Long-term fibre agreements give them manufacturing priority, cost certainty, and deployment control. This could create a two-tier market where cloud leaders lock in capacity while enterprises and colocation customers face longer lead times, firmer prices, and constrained interconnect options. For CIOs, the execution risk is timing. Fibre upgrades, cross-connects, optics, permits, and route diversity can lag AI compute deployments by months. Enterprises may secure GPUs and power, yet still run models below peak efficiency because the network cannot keep pace. At this scale, advantage comes from assured network capacity and AI-ready fabric design, not headline compute announcements. Latency, route control, and provisioning certainty will matter far more than declared AI ambitions. networkworld.com/article/412… #GreyhoundStandpoint #AIInfrastructure #DataCenters #Networking #Fibre #CIO

𝐀𝐫𝐭𝐢𝐜𝐥𝐞: 𝐖𝐢-𝐅𝐢 𝟖 𝐢𝐬 𝐜𝐥𝐨𝐬𝐞𝐫 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Recently, I've begun talking about why Wi-Fi's next future generation, #WiFI8, which is a fundamentally different conversation than the industry’s usual “speeds and feeds” obsession. @zkerravala did a terrific job pulling those ideas together in this new Networkworld article—including some of my perspectives from #ExtremeConnect2026 — on why Wi-Fi 8 is really about ultra-high reliability, better roaming, smarter spectrum efficiency, and ultimately transforming the access point into something far more strategic than just a connectivity box. If you’re in enterprise networking, this is worth a read—not because Wi-Fi 8 is arriving tomorrow, but because the design decisions you make today around 6 GHz, security, and architecture will shape how ready you are for what’s next. Take a moment to read the full article at: networkworld.com/article/417… -