AI Infrastructure & Data Centers

Redis Adds Six Capabilities to Iris to Move AI Agents Into Production

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Redis Adds Six Capabilities to Iris to Move AI Agents Into Production

San Francisco – November 04, 2026 -- Redis has expanded Redis Iris, its real-time context engine for AI agents, to six customizable capabilities, four of them generally available and two in beta. The company targets the inefficiencies that keep agents out of production: over-stuffed prompts, redundant LLM calls and brittle custom integrations that cost more in tokens and time than the value they return.

Four of six Iris capabilities are generally available today

Intent Router matches the meaning of a request rather than its wording and sends it to a remembered FAQ, an agent skill, a human or an LLM. It also supports agent and model routing, guardrails and "fuzzy" if-statements, so decisions are not limited to true or false.

PhoenixAI Launches Contextbase to Unify Context for AI Agents

MENLO PARK – November 04, 2026 -- PhoenixAI, the creator of the StarRocks open source project, launched Contextbase, a system that stores semantics, knowledge, memory, traces and evaluations in a single governed database for AI agents. The company unveiled the product at its NEXT QUERY 2026 Data + AI Infrastructure Summit. Private preview opens November 4.

Contextbase replaces four separate tool categories with one store

PhoenixAI says most agent stacks scatter context across a semantic layer for definitions, a vector store for documents, a memory service, and observability tools for traces and evaluations. Each keeps its own copy of the data and its own permissions. Contextbase consolidates them.

The system holds five types of context:

WhiteFiber Closes $60M North Carolina Data Center Site Purchase

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WhiteFiber Closes $60M North Carolina Data Center Site Purchase

New York – November 03, 2026 -- WhiteFiber (Nasdaq: WYFI) has completed a $60 million all-cash acquisition of two industrial properties in Yadkin County, North Carolina, adding sites with a potential path to roughly 200 MW of AI data center capacity. The deal closed through its wholly owned subsidiary Enovum Data Centers Corp.

Yadkin County sites offer 60 MW initially and up to 200 MW within seven years

The properties, designated NC-2 and NC-3, cover about 120 acres and 500,000 square feet of existing warehouse space. They sit roughly 55 miles from WhiteFiber's NC-1 campus in Madison, North Carolina.

ARIA to Deploy Lumai Optical Inference Servers in UK First

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ARIA to Deploy Lumai Optical Inference Servers in UK First

Oxford – November 03, 2026 -- The Advanced Research and Invention Agency (ARIA), a UK public R&D funding body, will deploy Lumai's Iris inference servers as the first optical inference platform in its Scaling Inference Lab. The deployment will test whether optical compute can cut data center power consumption by 90% in a commercial environment.

Lumai claims one-tenth total cost of ownership versus GPUs

The Scaling Inference Lab is run by CommonAI CIC, a non-profit focused on collaborative AI development. Researchers will use the Iris servers to evaluate optical compute under standard power, cooling and rack integration. Lumai says the servers could cut total cost of ownership to around one-tenth of conventional GPU architectures. The headline claims for the technology also include processing speeds up to 50x higher.

Bull, Schwarz Digits sign MoU for sovereign European AI stack

Bad Friedrichshall – November 03, 2026 -- Bull and Schwarz Digits, the IT and digital division of Schwarz Group, have signed a memorandum of understanding to build a European AI and cloud infrastructure stack covering servers, software platform and integrated system solutions.

The partners target regulated and strategic sectors. Their aim is for customers in these sectors to develop, deploy and scale AI and enterprise computing while sensitive data, infrastructure and operations stay under European jurisdiction and control.

Servers to be built at Bull's Angers plant with liquid cooling

The servers will be manufactured at Bull's Angers facility, using European production capacity for scalable AI infrastructure. Bull contributes Direct Liquid Cooling (DLC) expertise and experience implementing large-scale AI systems. Schwarz Digits supplies secure cloud infrastructure through its STACKIT brand.

Energy per token fails to predict cost per correct AI answer

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Energy per token fails to predict cost per correct AI answer

California – November 02, 2026 -- A local-inference benchmark on an AMD Strix Halo machine found that gemma-3-27b delivers a correct answer for 729 joules at 98% accuracy, while the faster, leaner trinity-nano needs 1,004 joules at 39% accuracy.

The test covered 27 local models on 190 small tasks with checkable answers, each run under two prompts, with a power meter running. Energy was priced at California summer rates of 34 cents per kilowatt-hour off-peak and 58 cents on-peak. The rank correlation between energy per token and energy per correct answer is +0.27, close to no relationship.

Chemours Launches Faizeon Two-Phase Cooling Fluids for AI Data Centers

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Chemours Launches Faizeon Two-Phase Cooling Fluids for AI Data Centers

WILMINGTON, Del. – November 02, 2026 -- The Chemours Company (NYSE: CC) has launched Faizeon, a five-fluid portfolio for two-phase liquid cooling in AI, high-performance computing (HPC) and high-density data centers. In independent third-party testing, a two-phase direct-to-chip system using Faizeon 200 kept a GPU up to 19 degrees Celsius cooler than a single-phase, water-based fluid, at a lower coolant flow rate.

Chemours splits the Faizeon range into four direct-to-chip fluids and one immersion fluid

The portfolio covers both two-phase direct-to-chip and two-phase immersion cooling. The fluids absorb heat by changing from liquid to vapor, which removes heat from high-power processors and servers as chip power and rack densities rise.

The range breaks down as follows:

Akash to Migrate to Solana Over 24 Months After 97% Vote

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Akash to Migrate to Solana Over 24 Months After 97% Vote

SAN FRANCISCO – November 03, 2026 -- Akash, the decentralized compute platform, will migrate its underlying blockchain infrastructure to Solana over the next 24 months, after Governance Proposal 346 passed with 97% of token holders voting in favor.

Three Akash products will run natively on Solana

Akash Marketplace, which aggregates distributed compute supply, AkashML, its AI inference platform, and Akash Homenode, which lets users contribute compute power to the network, will be available natively on Solana. The move allows Akash to integrate existing tools from Solana's ecosystem, which spans internet capital markets, payments, AI agents and crypto applications.

Envision Runs World's First Commercial 800V DC SST AI Data Center

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Envision Runs World's First Commercial 800V DC SST AI Data Center

Ulanqab – – November 02, 2026 -- Envision has put the world's first commercial integrated 800V DC power system into service at a large-scale AI data center, powering live computing workloads at its Galaxy campus in Ulanqab, China. The system delivers power end to end, from medium-voltage AC grid input to the server rack.

Envision's system combines solid-state transformers, batteries and AI controls

The deployment integrates solid-state transformers (SST), battery energy storage (BESS) and equipment that adjusts DC voltage for computing hardware. Envision's Dubhe Controller, supported by the Dubhe Energy Foundation Model, coordinates transformers and batteries in real time to match supply with computing demand and absorb sudden load swings.

Sharon AI to report Q3 2026 results on November 16

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Sharon AI to report Q3 2026 results on November 16

NEW YORK – November 02, 2026 -- SharonAI Holdings Inc. (NASDAQ: SHAZ) will release its third quarter 2026 financial results after the market closes on Monday, November 16, 2026. The Australian Neocloud provider will hold a conference call and webcast at 4:30 p.m. ET the same day to discuss the figures.

Sharon AI opens U.S. and international dial-in lines for the 4:30 p.m. ET call

Investors can join the call using conference ID 479447. The U.S. dial-in is 877-545-0320, and international callers can use +1 973-528-0002. A webcast replay will be available on the company's investor relations site after the event.