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Intel
Data center news, project activity, and monthly briefings for Intel.
Editor's picks
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The Complete Guide to AI Servers for UK Startups
AMAX Engineering has published a guide for UK startups on selecting and deploying AI servers and GPU infrastructure.
- The blog explains when startups should move from cloud GPUs to dedicated servers, compares hardware options such as NVIDIA RTX PRO, HGX B300, Rubin NVL8, and Vera Rubin NVL72, and outlines a 5-step deployment roadmap for production AI infrastructure.
- It also discusses data governance under UK GDPR and the Data Protection Act 2018, and says AMAX supports UK AI startups with workload profiling, custom cluster design, liquid-cooling integration, and validation through its EMEA operations in Ireland.
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Samuel Williams Honored with E.O. Lawrence Award
The U.S. Department of Energy has announced Samuel Williams as a 2026 Ernest Orlando Lawrence Award recipient in the category of Computer, Information, and Knowledge Sciences.
- Williams, a senior scientist at Lawrence Berkeley National Laboratory in the AMCR Division and NERSC, is being recognized for contributions to performance modeling, hardware/software optimization, and computer architecture for HPC.
- The award ceremony is scheduled for November 13, 2026 in Washington, D.C.; the article also highlights his Roofline Performance Model, work on Perlmutter, and collaborations under DOE X-Stack, ECP PROTEAS-TUNE, and hardware evaluation efforts.
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Government of Canada welcomes 19 additional signatories to Canada’s Responsible Data Centre Development Principles
The Government of Canada has announced that 19 additional companies have signed Canada’s Responsible Data Centre Development Principles, bringing total signatories to 42.
- The principles were launched on September 3, 2026 and set five expectations: local benefits, protecting electricity ratepayers, minimizing water use and environmental impacts, transparency about local impacts, and strategic value to Canada.
- The new signatories include AMD, IBM, Intel, NVIDIA, Schneider Electric, STACK Infrastructure, and Vantage Data Centers; the announcement says support has nearly doubled from 23 to 42 organizations and ties the principles to Canada’s national AI strategy, AI for All.
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Mobilizing for Techno-Economic War, Part 7: Transforming Regulatory Policy
ITIF has published a policy report arguing for a major transformation of U.S. regulatory policy to support national techno-economic competition with China.
- The report says Congress should centralize national issues such as AI regulation, preempt many state privacy/AI laws, and reduce federal barriers for nationally important projects such as industrial parks, infrastructure, and data centers.
- It also argues for NEPA repeal, Section 404 repeal, size-neutral rules, antitrust reform, and a new Commerce Department process to designate up to 100 projects per year for streamlined approval; it also proposes federally designated industrial readiness zones of 50–100 sites of at least 3,000 acres each.
- Monetary values mentioned include $98 billion–$112 billion annually in potential out-of-state privacy compliance costs, $1 trillion+ over 10 years, $650 million in a Facebook BIPA-related settlement cited in the report, and $100 billion a year for carbon removal referenced in a supporting example.
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Q.ANT Appoints IBM Veteran Joerg Behrend to Lead Photonic Processor Hardware Development
Q.ANT has announced the appointment of Joerg Behrend as Vice President Hardware to lead next-generation photonic processor development and production readiness.
- Behrend will oversee the chip technology, processor architecture, and production readiness of Q.ANT’s Native Processing Units (NPUs), reporting to CTO Bruno Spruth and working across Stuttgart and Austin, Texas.
- Q.ANT says this is its fifth leadership hire within 12 months; the company notes its photonic systems are already in use at the Leibniz Supercomputing Centre, Forschungszentrum Jülich, and IONOS, with a first commercial deployment planned for 2026.
- The press release also reiterates Q.ANT’s background: founded in 2018, based in Stuttgart, operating a TFLN chip pilot line with IMS CHIPS, and having secured Europe’s largest Series A for photonic computing in 2025.
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AMAX AI Factory Solutions Powered by NVIDIA Vera Rubin
AMAX has announced Rubin-based AI factory solutions powered by NVIDIA Vera Rubin, spanning system-to-rack-scale infrastructure for production AI deployments.
- AMAX says it designs, builds, and deploys production AI infrastructure using NVIDIA DGX systems and NVIDIA HGX Rubin platforms, covering networking, storage, liquid cooling, power planning, deployment services, and lifecycle operations.
- The page presents projected performance and efficiency comparisons, including one-tenth the cost per million tokens versus NVIDIA GB200 NVL72 and up to 10x more tokens per megawatt; it also notes the source as NVIDIA’s Vera Rubin NVL72 page and states several figures are preliminary and subject to change.
Recent news
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HPE’s Gen13 Signals Enterprise AI Shift to CPU-GPU Balance
HPE has announced its first batch of next-generation AMD-powered ProLiant Gen13 servers designed for enterprise AI inference, agentic AI, and traditional enterprise workloads.
- Four new servers were unveiled: the ProLiant DL585a Gen13, ProLiant DL525, ProLiant XD245, and ProLiant XD285, all powered by AMD’s sixth-generation Epyc 9006 SP7-series CPUs (code-named Venice).
- The DL585a Gen13 supports up to eight GPUs and is slated for March 2027 availability; the DL525 is expected in November 2026; the XD245 and XD285 are expected in 2027. HPE also highlighted new iLO 8 security features, self-encrypting drives, post-quantum cryptography readiness, and near-real-time power capacity insights in HPE Compute Ops Management.
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If Apple returns to enterprise server game (with help from Nvidia), what market could it target?
Apple is reportedly considering a return to the enterprise server market with an AI-focused system, according to a mid-September report cited by Network World.
- The preliminary project would use future M8-series processors and could launch around 2029; it may be changed or canceled.
- Apple is also considering Nvidia NVLink Fusion to connect custom processors to Nvidia data center infrastructure, while analysts expect Apple may limit any servers to its own Private Cloud Compute needs.
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California joins US states clamping down on data center gold rush
California has announced new data center laws through Governor Gavin Newsom, tightening reporting, cost-sharing, and infrastructure requirements for operators.
- Newsom signed seven bills on Monday; they require energy and water use disclosures, fair payment for electricity grid upgrades, compliance with California energy procurement requirements, and disclosure of water use, supply, efficiency, and drought planning.
- The laws also bar blanket environmental exemptions and require projects to prove compliance with state energy, water, and fuel consumption standards before approval; the article also cites broader US opposition, including 45 projects worth $68 billion delayed or blocked in Q2, and 321 moratoriums and restrictions tracked across 32 states.
- This is a news analysis piece summarizing a new state-level announcement and wider regulatory backlash, not a transcript or opinion essay; it also references related actions in Virginia and New York and examples of efficiency technologies such as Furiosa AI, Intel Xeon, and Nvidia hardware.
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Communities are blocking data centers before they’re even proposed
The article analyzes growing community and regulatory backlash against data center development in the US, while highlighting new state-level restrictions and advice for enterprise planning.
- Data Center Watch says nearly four dozen projects worth an estimated $68 billion were blocked or delayed in the US over a three-month period, with 843 opposition groups identified and 49 states scrutinizing development.
- California Governor Gavin Newsom signed seven bills on Monday covering data center costs, disclosures, and infrastructure; Virginia has a Data Center Accountability Framework, and New York has a temporary moratorium on hyperscale data centers.
- The piece also cites broader industry commentary from Info-Tech Research Group and Moor Insights & Strategy on power, cooling, water, grid constraints, and the need for radical optimization and earlier planning.
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Odisha Plans To Set Up A ‘Silicon Valley’ To Woo Semiconductor Companies
Odisha has announced plans for an 870-acre ‘Odisha Silicon Valley’ between Cuttack and Bhubaneswar and said it is in discussions with international semiconductor companies on potential semiconductor, AI, and data centre projects.
- The state has begun construction on two centrally approved projects: Sicsem Pvt Ltd’s silicon carbide fab and integrated packaging facility, and 3D Glass Solutions’ glass-substrate packaging facility; it is also pursuing Phase 2 of Sicsem for a silicon carbide epitaxy and packaging facility.
- Odisha has approved five additional semiconductor projects worth ₹11,000 Cr, and an Intel–3D Glass Solutions MOU reportedly targets $3.3 Bn (₹30,550 Cr) of investment and over 1,800 direct jobs; the state also plans ₹125 Cr toward a ₹452 Cr hub with IIT Bhubaneswar and the National Research Foundation, and offers up to 25% capex support under the India Semiconductor Mission.
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Nvidia, MediaTek Bring Custom Chips to AI Racks
Nvidia has announced that it is opening its rack-scale AI infrastructure and NVLink Fusion technology to custom accelerators from hyperscalers and other AI developers, and it has expanded its partnership with MediaTek to support pre-validated custom XPU designs.
- The platform lets customers design custom XPUs on a pre-validated NVLink Fusion foundation and integrate them into Nvidia-connected AI factory infrastructure built around the MGX ecosystem.
- Nvidia also invested $3.5 billion in convertible bonds issued by MediaTek; the companies did not name any customers or announce specific data center deployments.
- The broader context is Nvidia’s effort to make NVLink interoperable beyond its own processors, while rival approaches include Ethernet and UALink; the MediaTek partnership also extends to local AI computing and automotive systems.
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Intel unwraps three-pronged architecture strategy to go after agentic AI
Intel has outlined a broad hardware strategy for agentic AI at Hot Chips 2026, positioning CPUs, GPUs, memory, interconnects and packaging as a combined system approach rather than a GPU-only model.
- Diamond Rapids is Intel’s next-generation Xeon Scalable 7 CPU for enterprise-scale agentic AI, built on 18A-P with up to 256 CPU cores, 1.28GB last-level cache, 16 memory channels at up to 12,800 MT/s, and 128 lanes of PCIe 6.0 and CXL 3.0.
- Crescent Island is a low-power, air-cooled data center GPU for inference with 32 Xe3P-based Xe cores, 256 XMX engines, up to 480GB LPDDR5X, and a 350W TDP; Wildcat Lake targets Core Series 3 processors with 18A, integrated Xe3 graphics, XMX AI acceleration, and an NPU up to 17 TOPS.
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Reports: Google partnering with AMD for next-gen hybrid TPU
Google is reportedly working with AMD on the design of a next-generation TPU for AI and conventional computing workloads.
- The reported hybrid accelerator could integrate CPU cores directly into the TPU package, with a focus on reinforcement learning and agentic AI workloads.
- The article says Google already uses TPUs alongside standard x86 CPUs in servers, while AMD recently announced a partnership with Cerebras to combine processors for AI inference.
- This is a report about a rumored/industry-reported design effort, not a first-party Google or AMD announcement.
- Analyst Jon Peddie said the idea “makes good sense” because AMD has experience with custom APUs and Google “needs diversity.”
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Data Center Hardware Highlights: August 2026
Data Center Knowledge has highlighted a shift in AI hardware coverage from GPUs toward infrastructure-first constraints across energy, minerals, grid access, and networking.
- The roundup says AI buildouts are increasingly limited by power, copper, grid interconnects, transformers, turbines, and permitting, while rack-scale integration and the network supercycle are becoming more important.
- The article also references several reported developments, including Nvidia’s $500B infrastructure bet, TSMC’s $265B Arizona campus expansion, and AMD’s Helios rack-scale AI system; it is commentary and synthesis rather than a single first-time corporate announcement.
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Out of band, out of mind: DEF CON research calls IPMI a ‘sanctioned backdoor’ into enterprise networks
HD Moore, co-founder of runZero, disclosed new BMC and IPMI vulnerabilities at DEF CON 34, along with an open-source scanning tool called OOBscan.
- Moore said his research found 123 confirmed vulnerabilities across 35 draft advisories affecting eight vendors, including HPE iLO, Supermicro IPMI, Dell iDRAC 10, and OpenBMC.
- The presentation said about 51,000 devices responded to IPMI on an internet-wide scan, with roughly 23,000 to 25,000 exposing crackable password hashes; the article also says runZero released OOBscan on GitHub.
- Context: this is a conference disclosure / security research presentation, not a product launch or financial announcement.
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Arm Chips May Get Their Own Virtual RAN Boost
Arm is described as expanding beyond smartphone chip licensing into AI, data centers, and mobile networks.
- The article says Arm’s latest earnings release lists vehicles and robotics, with AI as a major target, and notes Arm has moved into the data center by starting to make its own CPUs this year.
- It also says Nokia has shifted from Intel to an Arm-based CPU made by Marvell Technology for Layer 2 plus in 5G RAN, while Marvell supplies a custom chip with Arm technology for Layer 1.
- This is an analysis/commentary piece referencing prior developments rather than announcing a first-time deal or product launch in the article itself.
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‘GPUs Suck’: Former Intel CEO Slams Data Center Hardware Limitations
Pat Gelsinger and OpenAI’s Sachin Katti used an Ai4 2026 keynote discussion to argue that AI’s next gains depend on infrastructure, energy, and economics rather than simply more GPUs.
- Gelsinger said today’s GPUs are power inefficient and computationally limited, arguing AI progress requires more semiconductors, data centers, communications infrastructure, and redesigns across packaging, memory, networking, and system architecture.
- Katti said the industry must convince governments, utilities, and manufacturers to invest across the infrastructure stack; he cited bottlenecks in US data center construction, energy availability, fab and memory capacity, and said OpenAI wants to cut deployment time from three years to three quarters.
- The discussion was framed as a keynote at Ai4 2026 in Las Vegas on August 4, 2026; it was commentary and analysis rather than a new corporate announcement.
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Intel Layoffs Show Data Center Workers Aren’t Immune to Corporate Job Cuts
Intel has announced it is preparing another round of layoffs in its data center group while saying product commitments and roadmaps will not change.
- First reported by The Oregonian, Intel notified employees in its data center group about planned cuts; the company did not disclose the number of positions or whether Oregon employees would be affected.
- Intel said the reorganization is part of a broader strategy to become a more focused and efficient company and to ensure the group has the right roles and skills for long-term success; Intel also reported Q1 2026 data center and AI revenue of $5.1 billion, up 22% year over year.
- The article also notes broader industry layoffs at Oracle and Microsoft amid heavy investment in AI data center expansion, and includes analyst commentary from IDC about AI being used as a pretext for job cuts.
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How NASA’s Artemis Lessons Apply to AI Infrastructure Planning
Data Center Knowledge published commentary comparing NASA’s Artemis cost overruns with ERCOT’s handling of AI data center load forecasts and grid planning. It argues that utilities and regulators should require stronger evidence before treating proposed AI demand as firm infrastructure need.
- ERCOT told Texas regulators it has “concerns with using the preliminary load forecast values” for reliability and transmission planning, and said planners should use historical realization rates and “other objective, credible, independent information.”
- The article says FERC has directed six regional transmission organizations and independent system operators to explain or revise large-load rules, while ERCOT’s summer peak demand outlook is 220.9 GW by 2032 versus ERCOT’s 145.6 GW projection.
- It cites NASA OIG findings that Boeing’s Exploration Upper Stage rose from $962 million to $3.7 billion, and Bechtel’s Mobile Launcher 2 from $383 million to about $2 billion, before those efforts were ended or repurposed.