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Infrastructure

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Chips, clouds, data centers, training, inference, and the production AI stack. Reader coverage is updated continuously; Google Search eligibility is decided separately.

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7.2
ai-infrastructure
Jul 16, 20262 sources
NVIDIA Expands Jetson Thor With T3000 and T2000 Modules
NVIDIA introduced Jetson Thor T3000 and T2000 modules to extend its Blackwell-based edge AI platform into lower-power robotics and visual AI systems. The T3000 targets humanoid and industrial robots, while the T2000 is positioned for visual agents, mobile robots and other compact edge deployments. NVIDIA says developers can start with emulation on the existing Jetson AGX Thor developer kit: T3000 emulation is planned later this month with JetPack 7.2.1, while T2000 support will follow. Both modules are scheduled for Q1 2027 availability. The practical significance is a broader hardware range for teams that need on-device multimodal inference but cannot justify the memory, power or cost profile of the flagship Thor configuration.
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6.9
ai-chips
Jul 15, 20263 sources
South Korea Lifts Growth Forecast on AI Chip Export Boom
The South Korean government raised its 2026 real GDP growth forecast from 2.0% to 3.0%, citing AI-driven semiconductor exports. The revision is part of a second-half strategy that prioritizes semiconductors, AI data centers, and physical AI as national megaprojects. Korea Times reported OECD and IMF forecasts of 2.6%, making the government's outlook more optimistic than those external projections. The announcement is a forecast and policy plan, not a completed growth result. LDS recommends separating temporary chip-cycle gains from durable productivity by tracking semiconductor price and volume, export concentration, domestic demand, infrastructure execution, and whether investment creates broader employment and supplier growth beyond the leading memory-chip companies.
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6.6
ai-infrastructure
Jul 15, 20263 sources
AI Hardware Demand Lifts China's Trade Data
AP reported China's June exports rose 27% from a year earlier, while imports increased 36% and the monthly trade surplus reached $125.6 billion. Official data put first-half foreign trade growth at 16.9%, reaching 25.47 trillion yuan. The same official release says trade in computing hardware, including electronic components and computer parts, increased 56.6% to 5.13 trillion yuan. Customs officials connected part of the strength to demand around AI infrastructure and AI-enabled products. LDS cautions that headline trade value mixes shipment volume, semiconductor prices, product mix, and currency effects. To judge whether AI demand is producing durable industrial growth, analysts should separate unit values from volumes and track which hardware categories, suppliers, and destination markets are driving the change.
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7.2
ai-infrastructure
Jul 15, 20263 sources
AI Data-Center Demand Tightens Memory Supply for Smartphone Makers
Counterpoint Research says the global smartphone market contracted sharply as memory suppliers favored higher-value AI data-center demand and handset component costs rose. Counterpoint estimates global smartphone shipments fell 11% year over year in Q2 2026, the weakest second quarter since 2013. Notebookcheck and Android Authority separately reported the same market release and linked the squeeze most strongly to price-sensitive devices. Counterpoint expects a roughly 14% full-year shipment decline and says the memory shortage could persist into 2027. LDS sees the event as a cross-market capacity signal: infrastructure demand can change the cost and availability of consumer hardware, affecting mobile AI reach, edge deployment, device replacement cycles, and product mix.
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7.4
ai-infrastructure
Jul 15, 20263 sources
Daum Runs AI Search on Upstage and FuriosaAI Stack
Upstage, AXZ, and FuriosaAI disclosed that Daum's live AI search summary service runs Upstage's Solar language model on FuriosaAI's RNGD accelerators. The deployment connects a model, domestic inference hardware, and a major portal in one production stack. The summary feature itself launched earlier this month; the new event is confirmation of the hardware serving it and the operating arrangement among the companies. Reporting describes a multi-node cluster processing live search workloads, but performance and cost comparisons remain vendor claims without public benchmark conditions. For ML infrastructure teams, the case is useful because it moves sovereign AI from planned compatibility into user-facing inference. The next questions are service quality, utilization, reliability, unit economics, and how broadly Daum expands the system.
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7.0
ai-infrastructure
Jul 15, 20263 sources
Reuters Finds xAI Turbine Pollution Risk Concentrated Near Black Communities
A Reuters investigation found that xAI installed dozens of natural-gas turbines serving its Colossus data-center project while federal clean-air permitting remained disputed. Reuters used regulator correspondence, equipment information, government health and demographic data, and resident interviews to estimate potential emissions and exposure around the Mississippi-Tennessee border. The emissions figures are modeled potential output, not measured ambient pollution. xAI and Mississippi regulators have argued that temporary mobile turbines do not require the contested permits, while federal guidance and civil-rights groups take the opposite view. LDS recommends treating AI-compute infrastructure as a measurable systems boundary: disclose power assets, permit status, operating hours, emissions assumptions, monitoring data, affected populations, and uncertainty before comparing model capability with its environmental cost.
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6.5
ai-infrastructure
Jul 15, 20263 sources
Valarian Raises $50 Million for Sovereign AI Infrastructure
Valarian has raised a $50 million Series A led by New Enterprise Associates to expand software intended to give governments and regulated enterprises more control over AI workloads, data access, operational policies, and shutdown authority. Fortune and SiliconANGLE report that the London company positions its product beneath models and applications, rather than as another cloud or foundation model. The financing is real; the stronger claims about sovereignty, security, and reduced supplier dependence are product claims that still require customer-level evidence. LDS evaluates the platform as a control plane: buyers should test model portability, offline operation, policy enforcement, audit completeness, key ownership, failure recovery, and whether administrators can replace a supplier without rebuilding the application stack.
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6.0
boundless
Jul 15, 20262 sources
Boundless Opens Early Access to Distributed AI Inference
Boundless is expanding a distributed GPU network built for zero-knowledge proving into AI inference and has opened early access. The company says the service will coordinate overlooked GPU capacity for open-model serving, training, and evaluation, with a broader product launch planned later this summer. It also expects its ZKC token to support operator staking and network access. SiliconANGLE independently reported the announcement but the cost, reliability, and production-customer claims remain company-supplied. LDS recommends comparing the service on workload fit, model support, tail latency, failure recovery, data isolation, geographic routing, hardware consistency, reproducibility, and total cost before treating lower-priced distributed capacity as a substitute for managed cloud inference.
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7.0
ai-chips
Jul 15, 20263 sources
U.S. Official Says Limited Nvidia H200 Shipments to China Have Begun
A senior U.S. Commerce official told Congress that a small number of Nvidia H200 accelerators have been shipped to China or Hong Kong under export licenses. CNBC and Reuters independently reported the testimony, while the Commerce Department's policy record confirms that H200 applications are reviewed case by case under security conditions. The statement establishes that some licensed shipments have begun, but it does not disclose recipients, unit volume, deployment status, or revenue. LDS maps the evidence chain that practitioners and investors should watch next: license approval, physical shipment, customs clearance, customer delivery, cluster deployment, and sustained utilization are separate milestones and should not be treated as interchangeable.
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8.0
ai-infrastructure
Jul 15, 20262 sources
ASML Raises Sales Outlook as AI Chip Capacity Drives Lithography Demand
ASML reported second-quarter net sales of EUR 9.3 billion and net income of EUR 2.9 billion, then raised its full-year sales outlook to EUR 43 billion-EUR 45 billion with a 54%-56% gross-margin range. Management attributed stronger visibility to continued AI-related investment and customer capacity plans for advanced logic and memory. The reported quarter is historical, but the full-year range and capacity expansion are forward-looking and remain exposed to order timing, customer spending, supply constraints, and export controls. LDS examines the operational signal behind the headline: distinguish bookings from recognized sales, low-NA EUV from DUV capacity, installed-base upgrades from new systems, and management demand attribution from independently measured end-market utilization.
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6.3
ai-infrastructure
Jul 15, 20263 sources
Proposed New Brunswick AI Data Centre Raises UNESCO Geopark Concerns
A proposed 390-megawatt AI data centre and gas-power project near Lorneville, New Brunswick, is under provincial environmental review while residents and local representatives raise concerns about its location inside the wider Stonehammer UNESCO Global Geopark boundary. The geopark's executive director says the designation does not create a legal veto, bar development, or mean one proposal would automatically cost the designation. UNESCO has not been shown to be investigating or blocking the project. LDS examines the infrastructure decision as a site-diligence problem: developers and regulators need transparent power, emissions, water, heritage, cumulative-impact, and community-risk evidence before treating regulatory registration as social or environmental approval.
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7.1
ai-chips
Jul 15, 20263 sources
TYLsemi Raises $43M to Build Modular AI Chiplets
TYLsemi has emerged from stealth with $43 million in early-stage funding led by Matter Venture Partners. The startup is developing reusable chiplets for connectivity, power delivery, and memory, plus an integration service for custom AI processors. Its pitch is that customers can combine standards-based building blocks with their own differentiated compute rather than engineering every subsystem from scratch. TYLsemi says samples of its connectivity and power chiplets are planned for qualified customers in 2027. The architecture could reduce duplicated engineering, but the launch does not yet prove interoperability, manufacturing yield, thermal performance, or production economics. Buyers should treat the company's speed and cost claims as targets until silicon and independently measured benchmarks are available.
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7.2
ironwood-tpu
Jul 15, 20262 sources
Google Details Qwen3.5 Serving Optimizations for Ironwood TPUs
Google's TPU performance team reports a new serving stack for Qwen3.5-397B-A17B on one Ironwood host. The model has 397 billion total parameters and activates 17 billion per token. Between April and June 2026, Google measured approximately 3.1x higher decode-heavy performance and 4.7x higher prefill-heavy performance at the 512-concurrency tier after changing attention sharding, expert routing, memory layouts, and custom JAX/Pallas kernels. The engineering work is unusually well documented through linked open-source pull requests, but the headline gains remain a vendor comparison across evolving internal stacks. The report does not provide independent reproduction, price-normalised cost, end-user latency distributions, or a comprehensive quality evaluation, so teams should treat it as a reproducible optimization playbook rather than a universal hardware ranking.
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7.3
ai-infrastructure
Jul 13, 20263 sources
HCLTech Plans New AI Data Center Investment
HCLTech said it will invest up to INR 3,500 crore in AI data centers that could scale to 50 megawatts, using a new subsidiary and step-down subsidiaries. The company framed the move as an entry into full-stack AI infrastructure, combining facilities with its existing cloud operations, DevOps, design, and software capabilities. Business Standard independently reported the same investment and capacity target alongside HCLTech's quarterly results. For practitioners, the strategic shift matters because an asset-light IT services provider is taking on capital-intensive capacity, financing, power, and utilization risks. The announcement establishes intent and an upper investment limit; it does not yet prove delivered capacity, customer demand, or project economics, so those operational milestones should remain the focus.
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8.1
ai-infrastructure
Jul 13, 20264 sources
Meta Expands Louisiana Hyperion AI Data Center
Meta said its Hyperion data center in Richland Parish, Louisiana, will expand to 5 gigawatts of compute capacity and lift the project investment above $50 billion. The company also said local businesses have received more than $1.6 billion in contracts since construction began and teachers recently received annual bonuses of up to $50,000 from increased local tax revenue. The scale makes Hyperion a material AI infrastructure story, but the local benefits sit alongside unresolved questions about power generation, grid exposure, and the durability of construction-driven tax gains. For infrastructure teams, the practical signal is that frontier-model capacity is increasingly tied to regional utility planning, workforce pipelines, and public accountability rather than server procurement alone.
Read story+1
7.4
ai-chips
Jul 13, 20263 sources
Federal Reserve Flags AI Infrastructure as a Near-Term Inflation Driver
On July 10, 2026, the Federal Reserve reported that U.S. inflation had climbed further above its 2 percent objective while AI-related demand for semiconductors, software, electronics, and data-center infrastructure added to near-term price pressure. The report put May total PCE inflation at 4.1 percent and core inflation at 3.4 percent. It also described AI infrastructure as a major support for capital spending even as household consumption and housing remained softer. The practical signal is two-sided: the buildout may strengthen productivity and productive capacity over time, but its immediate appetite for chips, electricity, metals, construction, and financing can keep input costs and interest-rate exposure elevated. Data and infrastructure leaders should therefore stress-test capacity plans against both supply constraints and a higher-for-longer policy environment.
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6.2
ai-chips
Jul 13, 20262 sources
LS Electric and Infineon Target AI Data Center Power
LS Electric and Infineon Technologies have signed a development agreement covering direct-current power systems for AI data centers and next-generation grids. The companies will combine LS Electric's system design and integration with Infineon's power semiconductor and control technology to develop power-conversion equipment, solid-state transformers, and solid-state circuit breakers. These components are intended to reduce conversion steps, limit energy loss, and improve efficiency in dense computing environments. The announcement matters because data-center expansion is shifting engineering attention from server hardware alone to the electrical path feeding racks and storage systems. It is still an early partnership, however: the companies disclosed development responsibilities and target technologies, but no commercial deployment, performance benchmark, customer, or shipping schedule.
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7.1
ai-infrastructure
Jul 13, 20262 sources
Korea Reconsiders Nuclear Power for Chip and AI Expansion
South Korea is reassessing nuclear-power planning as new semiconductor fabs and AI data centers drive demand for continuous electricity. Korea Times reporting says the government's industrial expansion has revived support for nuclear generation, while Korea JoongAng Daily separately reported that the climate minister sees new reactors as a possible response if the southwestern cluster grows beyond current plans. The immediate constraint is timing: power plants, transmission lines, permits, and local consent move much more slowly than digital infrastructure investment. For AI and data leaders, the practical signal is that compute capacity is becoming inseparable from regional grid planning, generation mix, and project sequencing. Announced data-center capacity should therefore be evaluated against firm power delivery, not headline investment alone.
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7.2
ai-chips
Jul 13, 20269 sources
Meta's Iris AI Chip Targets September Production
Meta plans to begin production of its custom Iris AI chip in September, according to an internal memo reviewed by Reuters. The data-center processor is part of Meta's MTIA program and was developed with Broadcom, while TSMC will manufacture it. Reuters reported that testing took about six weeks and found no major issues. The important infrastructure signal is that Meta is pairing custom silicon with continued purchases from Nvidia and AMD rather than attempting an immediate replacement. For AI teams, Iris is another example of a hyperscaler tailoring accelerators to its own recommendation, ranking, and inference workloads. TechCrunch separately described the same production plan and connected it to Meta's previously announced MTIA roadmap and broader compute expansion.
Read story+6
7.1
ai-infrastructure
Jul 10, 20263 sources
Core Supercomputing Node Goes Online in Zhengzhou
China officially brought the Zhengzhou core node of its national supercomputing internet online on July 10, 2026, adding a 100,000-card AI computing pool for large-model, scientific-AI, and agent workloads. ECNS and China Daily describe the site as the largest single domestic AI computing resource pool connected to the national platform, which they say now aggregates more than 3.5 million CPU cores and 250,000 GPU cards. For practitioners, the useful signal is capacity orchestration: national-scale compute pools can make model training, scientific AI, and agent experiments less dependent on one private cluster, but performance will still depend on scheduling software, interconnect, energy control, and access policy.
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6.7
robotics
Jul 10, 20263 sources
Downward Drilling Robot Accelerates Data Center Construction
DEWALT commercially launched DALE, a fleet-capable downward-drilling robot for data center construction, on July 9, 2026 after a pilot reported 10x faster drilling than conventional methods. The company says the robot, developed with August Robotics, saved 190 weeks across 26 data center construction phases and achieved 99.97 percent accuracy on more than 230,000 holes. For AI infrastructure teams, the practical signal is not model quality but build velocity: repetitive floor drilling is a bottleneck in hyperscale fit-outs, and autonomous robotics may shorten the path from shell construction to usable compute capacity. The figures are vendor-reported, so the story is a deployment signal rather than independent benchmark proof.
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7.0
microsoft
Jul 10, 20263 sources
Microsoft Reports AI Infrastructure Sustainability Pressure
Microsoft's 2026 Environmental Sustainability Report said total Scope 1, 2, and 3 emissions rose 25% year over year as AI-era datacenter expansion and electricity-procurement changes increased infrastructure pressure. Microsoft said AI infrastructure is raising demand for energy, water, land, and materials, while the company also reported matching 100% of annual electricity consumption with renewable energy and replenishing more water globally than it withdrew. For AI teams, the report turns sustainability into an operating constraint: cloud region choice, model deployment scale, power sourcing, cooling strategy, and customer reporting can now affect production AI governance. Axios framed the disclosure as part of a wider hyperscaler pattern in which AI growth is making earlier climate goals harder to execute.
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6.9
data-centers
Jul 10, 20265 sources
Gujarat Bets Rs. 6 Lakh Crore on Data Centres
Gujarat launched the Viksit Gujarat Data Centre Policy 2026-29 on July 9, 2026, targeting Rs. 6 lakh crore in investment and 7.5 GW of data-centre capacity. The policy matters for AI and cloud teams because it treats power, land, water and incentives as one infrastructure package rather than a generic IT subsidy. Reports from The Hindu, PTI/YourStory and Times of India say the state is courting hyperscalers, especially around Dholera, with renewable-power requirements, power-tariff support and faster approvals. For practitioners, the open question is execution: whether the policy turns Gujarat into usable regional compute capacity or mainly a long pipeline of announced projects.
Read story+2
6.6
token-pricing
Jul 10, 20264 sources
Palo Alto CEO Calls For AI Token Price Cuts
Palo Alto Networks CEO Nikesh Arora told CNBC on July 9, 2026 that AI pricing needs to come down for broader enterprise adoption, with follow-on coverage framing his target as up to a 90% reduction. CNBC, The Next Web, PYMNTS, and Yahoo Finance report that Arora welcomed OpenAI's token-efficiency gains but argued current token costs still make large-scale enterprise use difficult. For practitioners, the issue is total workflow cost: agentic systems may call models repeatedly, hold longer contexts, and trigger tool use, so lower per-token prices do not automatically reduce spend unless teams also manage routing, caching, limits, and workload design.
Read story+1
6.7
bot-traffic
Jul 9, 20268 sources
Bots Overtake Humans in Web Page Requests
Cloudflare Radar shows automated bots now generate about 57.4% of HTML page requests, versus 42.6% from humans, according to coverage citing Cloudflare's bot-versus-human traffic data. The milestone matters for AI and infrastructure teams because agentic browsing, scraping, and automation can change rate limits, observability baselines, fraud models, and content-delivery costs without corresponding human sessions. HUMAN's 2026 benchmark separately found automated traffic grew roughly 8x faster than human traffic in 2025, underscoring the same direction of travel. The numbers are provider-specific and method-dependent, so teams should treat them as a strong operational signal rather than a universal census of all internet activity.
Read story+5
7.1
ai-infrastructure
Jul 9, 20266 sources
HUMAIN and Cohere Secure 50 MW AI Compute Capacity
HUMAIN and Cohere announced a collaboration that allocates at least 50 MW of dedicated AI compute capacity for Cohere's next-generation foundation models, with reports from Reuters, Zawya, and Arab News tying the deployment target to Q4 2027. The deal matters because HUMAIN, backed by Saudi Arabia's Public Investment Fund, is pairing physical infrastructure with sovereign and enterprise model work for Cohere outside North America. For ML teams, the practical signal is that regional compute commitments are becoming product strategy: capacity, data locality, and model customization are being bundled into national AI platforms rather than bought only as generic public-cloud capacity.
Read story+3
5.6
aws
Jul 9, 20264 sources
AWS Names NiCE Launch Partner for European Sovereign Cloud
AWS named NiCE a launch partner for the AWS European Sovereign Cloud in July 2026, extending NiCE's customer-experience AI software into a region designed for European sovereignty and data-residency needs. The story is operational rather than frontier research: it affects where regulated enterprises can run CX automation, analytics and AI-assisted contact-center workflows. Insider Monkey surfaced the item through an Amazon stock lens, while ITBrief and AWS materials provide the cloud-sovereignty context. Practitioners should watch which services are actually available, whether customer data and metadata stay in the EU, and what compliance controls partners expose.
Read story+1
6.8
broadcom
Jul 9, 20264 sources
Broadcom Posts AI Chip Momentum, Wall Street Bullish
Insider Monkey reported on July 9, 2026 that Jefferies kept a $550 price target on Broadcom, citing AI chip momentum and custom-ASIC opportunities tied to large cloud customers. The stock angle is secondary for LDS readers; the practitioner relevance is that custom accelerators can shape inference cost, supply availability and software-stack choices. Broadcom and OpenAI have also announced a strategic collaboration for AI accelerator and networking systems, giving the AI-chip thesis more operational context. Treat the earnings scenarios and long-term revenue figures as analyst-sourced projections, not confirmed engineering roadmaps from Broadcom's customers.
Read story+1
6.9
cerebras
Jul 9, 20262 sources
Flex and Cerebras Scale US CS-3 Manufacturing
Flex and Cerebras announced on July 9, 2026 that new Milpitas, California manufacturing lines are expected to support an approximately 7x increase in Cerebras CS-3 production capacity through 2026. For AI infrastructure teams, the story is about system-level supply rather than a new chip: wafer-scale accelerators require specialized assembly, cooling, networking, burn-in, testing, and logistics before they become usable capacity. The expansion gives buyers another signal that non-GPU accelerator supply is scaling inside the United States, but it remains a forward-looking manufacturing plan. Practitioners should watch whether added CS-3 throughput converts into cloud availability, pricing pressure, or named customer deployments.
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5.4
aws
Jul 9, 20263 sources
Migrate EC2 Workloads to EKS Auto Mode with Kiro
AWS published a July 9, 2026 migration guide showing how teams can move a Node.js app from Amazon EC2 to EKS Auto Mode with Kiro CLI and MCP servers. The practical value is not a new AWS service launch, but a reproducible modernization pattern: use AI-assisted tooling to inspect an existing VM workload, create Kubernetes deployment artifacts, and connect those steps to managed EKS operations. For platform teams, the useful signal is that AWS is packaging MCP servers and Kiro workflows as a migration aid, which can reduce manual translation work while still requiring normal review of security, networking, IAM, and production-readiness details.
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Infrastructure

Latest coverage

NVIDIA Expands Jetson Thor With T3000 and T2000 Modules

South Korea Lifts Growth Forecast on AI Chip Export Boom

AI Hardware Demand Lifts China's Trade Data

AI Data-Center Demand Tightens Memory Supply for Smartphone Makers

Daum Runs AI Search on Upstage and FuriosaAI Stack

Reuters Finds xAI Turbine Pollution Risk Concentrated Near Black Communities

Valarian Raises $50 Million for Sovereign AI Infrastructure

Boundless Opens Early Access to Distributed AI Inference

U.S. Official Says Limited Nvidia H200 Shipments to China Have Begun

ASML Raises Sales Outlook as AI Chip Capacity Drives Lithography Demand

Proposed New Brunswick AI Data Centre Raises UNESCO Geopark Concerns

TYLsemi Raises $43M to Build Modular AI Chiplets

Google Details Qwen3.5 Serving Optimizations for Ironwood TPUs

HCLTech Plans New AI Data Center Investment

Meta Expands Louisiana Hyperion AI Data Center

Federal Reserve Flags AI Infrastructure as a Near-Term Inflation Driver

LS Electric and Infineon Target AI Data Center Power

Korea Reconsiders Nuclear Power for Chip and AI Expansion

Meta's Iris AI Chip Targets September Production

Core Supercomputing Node Goes Online in Zhengzhou

Downward Drilling Robot Accelerates Data Center Construction

Microsoft Reports AI Infrastructure Sustainability Pressure

Gujarat Bets Rs. 6 Lakh Crore on Data Centres

Palo Alto CEO Calls For AI Token Price Cuts

Bots Overtake Humans in Web Page Requests

HUMAIN and Cohere Secure 50 MW AI Compute Capacity

AWS Names NiCE Launch Partner for European Sovereign Cloud

Broadcom Posts AI Chip Momentum, Wall Street Bullish

Flex and Cerebras Scale US CS-3 Manufacturing

Migrate EC2 Workloads to EKS Auto Mode with Kiro

Infrastructure

Latest coverage

NVIDIA Expands Jetson Thor With T3000 and T2000 Modules

South Korea Lifts Growth Forecast on AI Chip Export Boom

AI Hardware Demand Lifts China's Trade Data

AI Data-Center Demand Tightens Memory Supply for Smartphone Makers

Daum Runs AI Search on Upstage and FuriosaAI Stack

Reuters Finds xAI Turbine Pollution Risk Concentrated Near Black Communities

Valarian Raises $50 Million for Sovereign AI Infrastructure

Boundless Opens Early Access to Distributed AI Inference

U.S. Official Says Limited Nvidia H200 Shipments to China Have Begun

ASML Raises Sales Outlook as AI Chip Capacity Drives Lithography Demand

Proposed New Brunswick AI Data Centre Raises UNESCO Geopark Concerns

TYLsemi Raises $43M to Build Modular AI Chiplets

Google Details Qwen3.5 Serving Optimizations for Ironwood TPUs

HCLTech Plans New AI Data Center Investment

Meta Expands Louisiana Hyperion AI Data Center

Federal Reserve Flags AI Infrastructure as a Near-Term Inflation Driver

LS Electric and Infineon Target AI Data Center Power

Korea Reconsiders Nuclear Power for Chip and AI Expansion

Meta's Iris AI Chip Targets September Production

Core Supercomputing Node Goes Online in Zhengzhou

Downward Drilling Robot Accelerates Data Center Construction

Microsoft Reports AI Infrastructure Sustainability Pressure

Gujarat Bets Rs. 6 Lakh Crore on Data Centres

Palo Alto CEO Calls For AI Token Price Cuts

Bots Overtake Humans in Web Page Requests

HUMAIN and Cohere Secure 50 MW AI Compute Capacity

AWS Names NiCE Launch Partner for European Sovereign Cloud

Broadcom Posts AI Chip Momentum, Wall Street Bullish

Flex and Cerebras Scale US CS-3 Manufacturing

Migrate EC2 Workloads to EKS Auto Mode with Kiro