Models & Labs · United States

Anthropic-linked $366m data center project filed for in Cedar Creek, Texas

Credited to Data Center Dynamics · datacenterdynamics.com · 5h ago

Photograph · Data Center Dynamics

First building will be located on Earl Callahan Road

A proposal for a $366 million data center project in Cedar Creek, Texas, has been filed with the Texas Department of Licensing and Regulation.

Dubbed Project Longhorn - Building One, the data center will span some 498,165 sq ft (46,281 sqm) and be located at Earl Callahan Road, near Walter Hoffman Road, in Cedar Creek, Bastrop County.

Construction is aiming to begin on November 30, 2026, and be completed by the end of January 2028.

Representatives for Black Chamber, Pacifico Energy, and Anthropic did not respond to BizJournals' request for comments on a 2,842-acre gas-fired electric generation facility to support a major data center campus in the Cedar Creek area of Bastrop County, which AI lab Anthropic is reportedly in talks to lease.

At full buildout, the project is expected to offer 710MW of "site-rated redundant power using simple-cycle natural gas turbines" that will support 490MW of IT capacity.

The project is located near EdgeConneX's major campus in the area, for which four more data center buildings were filed in August 2026. In total, EdgeConneX’s presence in Bastrop County could total more than a dozen buildings across more than 1,500 acres at full build-out. At least part of the capacity is set to be leased to AI cloud firm CoreWeave.

Bastrop County is located outside of Austin, Texas.

Texas as a whole has seen a massive influx of data center projects in recent years, but has begun to resist the tidal wave. In September, Governor Greg Abbott halted all new data center permits from the state’s environmental agency until it completes a large-scale audit of facilities seeking to connect to the Electric Reliability Council of Texas (ERCOT) grid. ERCOT aims to complete the audit by December.

Despite this, the new filing in Cedar Creek seems to suggest that the project is moving ahead.

Pacifico Energy is the energy arm of investment firm Pacifico Group. Based out of San Juan, California, the company has interests in both renewable and fossil fuel-based energy projects. Earlier this year, the company secured a 7.65GW air permit from the Texas Commission on Environmental Quality (TCEQ) for its planned 5GW GW Ranch project in West Texas.

Black Chamber Partners is part of a private equity firm with a focus on data center development, typically in Northern Virginia. The group was founded in 2019 and focuses on developing build-to-suit powered shells for hyperscalers.

CapitalUnited States

Report: Nvidia plans to invest in inference chip startup d-Matrix

Credited to Data Center Dynamics · datacenterdynamics.com8h ago

Useful

Follows reports that company was seeking to raise additional funds, targeting $5bn valuation

Nvidia is planning to invest in inference chip startup d-Matrix, according to a report from The Information.

Citing three people with knowledge of the deal, the report said the planned investment is part of an effort by Nvidia to make its technology compatible with rival chip designs.

The report comes a month after d-Matrix announced it would adopt Nvidia’s NVLink technology to connect its Raptor processors with the chip giant’s hardware in rack-scale solutions. First unveiled in May 2025 and known as NVLink Fusion, the interconnect technology allows partners to build semi-custom AI infrastructure linking non-Nvidia accelerators with Nvidia hardware.

Other NVLink Fusion partners include the likes of Arm, Fujitsu, Intel, MediaTek, Qualcomm, SiFive, and Synopsys.

Founded in 2019 and headquartered in Santa Clara, d-Matrix develops accelerator cards that aim to make AI inferencing workloads quicker and more efficient. Its full-stack platform is powered by the company’s Corsair inference accelerators, JetStream NICS, and Aviator software, which it claims can deliver 10X faster performance, 3X lower cost, and 3–5X better energy efficiency than GPU-based systems.

In November 2025, the startup closed a $275 million Series C funding round, valuing the company at $2 billion. The Information separately reported in July 2026 that d-Matrix was looking to raise additional financing, targeting a $5bn valuation.

Original · Data Center Dynamics

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Models & Labs · United States

CoreWeave targets AI inference bottlenecks with full-stack optimization

Credited to SiliconANGLE · siliconangle.com · 17h ago

Photograph · SiliconANGLE

AI inference is fast becoming the workload that decides the economics of the AI boom. Training built the first wave of GPU clouds, but serving models faster and cheaper will define the next.

That shift is pushing specialized cloud providers beyond raw GPU capacity into storage, networking and software. One provider is layering managed services for training, post-training and inference atop its infrastructure, according to Urvashi Chowdhary (pictured), vice president of product and AI services at CoreWeave Inc.

“I think if you look at the AI developer’s journey, they’re looking to solve a problem and they want to do it as quickly as they can with the best performance and the cost to scale,” Chowdhary said. “So, we’ve been really focused on building up the layers of our stack, building on top of the reliable infrastructure to build more managed services, whether it’s for training, post-training, inference.”

Chowdhary spoke with theCUBE Research’s Dave Vellante and John Furrier at the Fully Connected event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI inference, managed services across the full stack and CoreWeave RL Rollouts, a new capability designed to accelerate agentic model iteration. (* Disclosure below.)

Optimizing the AI inference stack layer by layer

Inference demand is climbing fast. A survey of CoreWeave customers and prospects by theCUBE Research found one healthcare customer’s inference workload share rose from about 10% in the first year to 40% in the second, with a roughly 50% share expected within 12 months. CoreWeave’s answer is tuning every layer above the hardware, from the vLLM engine to quantized models and custom speculative decoders, Chowdhary explained.

“One thing that we’ve been very intentional about is leveraging open source tools and technologies, contributing back to open systems so customers have flexibility and then also building our services on top of each other,” she said.

Reinforcement learning adds new pressure. When customers train agentic models with rewards and verifiers, inference becomes the bottleneck during rollouts, according to Chowdhary. CoreWeave RL Rollouts, a preview capability built on Nvidia Corp.’s Dynamo framework, loads new checkpoints into a live deployment. In testing, the capability improved model reload latency by 15x compared with a baseline configuration.

“When you’re doing RL rollouts, you’re continually creating new model checkpoints and versions and you want those to roll out into your inference setup so you can scale it independently,” she said. “And we were able to speed that up by 15x, which means your training runs fast and your inference is scaling while you’re continuing to train your model quickly.”

Those capabilities now sit inside CoreWeave Forge, a platform launched at the event that connects serving, observability, post-training and evaluation. Forge is free to start, with paid tiers offering additional capabilities, extending access to AI development tools and services to individual developers, Chowdhary explained.

“We want to create accessibility for these leading technologies,” she said. “Even if you’re an individual developer signing up today on your own, you still get the best performance, you still get the best reliability and you don’t have to compromise.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Fully Connected event:

(* Disclosure: TheCUBE is a paid media partner for the the Fully Connected event. Neither CoreWeave, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

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Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

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