// TOM'S HARDWARE US — HARDWARE & GADGET
This week in Tom's Hardware Premium: October 31, 2026
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In case you're not yet subscribed to our Tom's Hardware Premium subscription service, here's what you've been missing out on this week. We detail our thoughts on Anthropic's filings pre-IPO, Cadence's new suite of LLMs to power its EDA tools, how Nvidia is securing its entire supply chain to serve AI data center demand, how Vera CPUs are landing in the cloud, an update to the ongoing TP-Link saga, and more. Remember, to access any of the articles listed here, you'll need to arm yourself with a subscription.
We've been hard at work behind the scenes to determine exactly how locally-run AI models and workloads stress consumer-level components. While throughput and tokens per second are indeed important factors, our resident CPU expert Jake Roach has begun laying out his vision for how Agentic workloads tax CPUs, and how we're building benchmarks in this newfangled AI world that the PC hardware space finds itself increasingly entrenched in. It's not often that readers get the chance to look at our behind-the-scenes work, and this piece offers a look at some of the foundational exploration we're doing around how to define what an agentic AI CPU benchmark might look like in the future.
As the rise of Artificial Intelligence increasingly becomes attached to powerful, locally-run hardware, you might encounter terminology and nomenclature that you may otherwise not be familiar with. So, we've published a primer on all of the basic terminology that you need to know moving forward. Currently, you get breakdowns of how inference works, details on quantization, context, KV cache, and more. We're striving to update this page as our exploration with local AI grows, to serve as a handy bookmark. It's not a mere dictionary either, as we contextualize how each of these things relates to the larger overall model, how it might be served, or where you might encounter it when trying to run an AI model of your own.
Nvidia's Vera CPUs were a salient part of a swath of Oracle announcements this week. The chip, usually found alongside Nvidia's NVL72 rack, is now generally available, but curiously, standalone Vera instances are also available on OCI superclusters. The CPU is specifically designed with Agentic AI workloads in mind, and it just so happens that we've benchmarked an Nvidia Vera server just this week to highlight the efficacy of how well Vera might perform under certain workloads.
Last week, we covered TP-Link's proposal to allow the router manufacturer to sell its Wi-Fi 8 products in the U.S. Now, according to a new report, it's alleged by the FCC that TP-Link's own reports contain "false or incorrect information in its applications" related to equipment authorizations for four different models of Wi-Fi 8 routers that the company hopes to sell stateside. As the saga continues to develop, we attained a statement from TP-Link on the subject, as the situation continues to develop.
Anthropic's large and sprawling S1 filing made headlines this week as the company prepares for an IPO. Within the document, it details many (but not all) of the numbers driving one of the world's foremost AI labs. Once you get past the mind-bogglingly high $800 billion in GPU and TPU contracts, the company has shown that most of its compute capacity isn't actually served to customers, and is instead dedicated to R&D for new models, features, and testing. There's a huge amount of information to sink your teeth into here, and despite what many might believe, the company's revenue per compute dollar spent is actually in Anthropic's favor, shattering the myth that tokens cost more in compute than they do for a user.
As neoclouds and hyperscalers (who rent compute out to companies like Anthropic) scale up and scale out, domains become exceedingly important. With copper materials coming up to their natural limits, eyes have turned to the photonic domain to allevia