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News analysis, industry perspectives and procurement guides for teams building AI infrastructure.
Industry overview September 2026September 2026: the next contest reaches beyond accelerator performance into memory, software, electricity and the ability to deliver usable capacity.
Read the analysisPlatforms, capacity deals and the companies building them.
Memory, power, networking and the installation.
System selection, comparable quotes and a clear business case.
Editorial illustrationSeptember 2026: the next contest reaches beyond accelerator performance into memory, software, electricity and the ability to deliver usable capacity.
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Event photographNVIDIA's next platform is moving through the supply chain. Production status and a deliverable system are different pieces of information.
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Announcement artworkA major Anthropic commitment puts AMD's rack-scale approach in focus. Software readiness will matter as much as the accelerator specification.
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Manufacturer imageThe September agreement concerns growing CPU workloads. It is a reminder that an AI service contains much more than its model-serving GPUs.
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Architectural visualisationThe planned Finnish system combines hardware, delivery, installation and maintenance. Its timetable is as important as its headline value.
Read articleEditorial illustrationThe July call is a milestone. For startups and smaller businesses, the surrounding support and access arrangements deserve equal attention.
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Manufacturer imageTPU 8t and TPU 8i point to a market where the best architecture depends increasingly on the job being done.
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Editorial illustrationCustom silicon is changing the capacity market. It also asks buyers to compare platforms and commercial commitments, rather than chips alone.
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Editorial illustrationCapacity, bandwidth and the supply chain affect useful compute in different ways. They should not be collapsed into a single specification.
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Announcement artworkThe IEA's 2026 update shows rising data-centre electricity demand alongside efficiency gains. Both developments can be true at once.
Read articleAnnouncement artworkA new alliance proposes changing how AI facilities use power. The difficult part is deciding which work can move without breaking the service.
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Editorial illustrationInference v6.1 adds RAG and edge-agent workloads. That makes the benchmark suite more relevant, while leaving the usual comparison rules intact.
Read articleEditorial illustrationModels such as Qwen3.8 make self-hosting a practical subject for evaluation. The software licence is only one part of the operating decision.
Read articleEditorial illustrationModel weights are only part of the footprint. The way a service handles context can change the hardware it needs.
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Manufacturer imageOptical networking and rack-scale systems receive attention for a reason. Multi-GPU performance depends on how data moves between the machines.
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Manufacturer imageIntegrated racks can simplify delivery. The facility connections, service responsibilities and acceptance checks still need to be specified.
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Manufacturer imagePerplexity's Windows expansion brings another practical example of local model execution. Hardware sizing and data boundaries still need careful reading.
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Manufacturer imageCoreWeave's quarterly figures show strong demand alongside the cost of building capacity. A backlog is not the same thing as a running data centre.
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Manufacturer imageOur view: a system's generation matters less than the useful work it can deliver within your project's budget and timetable.
Read articleEditorial illustrationOur view: the address of a data centre is one part of control. The ability to move the workload is another.
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Manufacturer imageOur view: competition becomes useful when your team can actually deploy the alternative.
Read articleEditorial illustrationOur view: capacity planning should start with completed useful work, not with a utilisation chart or a list of new accelerators.
Read articleManufacturer imageChoose the right unit of purchase before comparing prices. A PCIe card, an accelerator module and a populated server are very different orders.
Read articleManufacturer imageCompare the GPU topology, populated system and installation requirements. The headline accelerator name is only the first line of the specification.
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Manufacturer imageA lower headline price can leave out the GPUs, host components or support you expected. Use a common specification to compare the actual order.
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We link to the sources behind our reporting and clearly label opinion pieces. We distinguish announced projects and future delivery plans from equipment already operating.
Our editorial team writes about AI infrastructure, equipment procurement and the industry behind it. News analysis distinguishes reported developments from our conclusions; opinion articles are labelled as such.
Technical and industry references are linked within each article. Publication dates describe when an article was written, rather than implying that every specification or market condition remains unchanged.