Mathpix and DataVerge Expand AI Infrastructure at Industry City

Brooklyn’s AI Infrastructure Is Growing — Right Here at Industry City

When people think about AI, they picture software. But Brooklyn’s AI infrastructure runs on something more physical — and some of it is being built right here at Industry City in Sunset Park.

DataVerge, Brooklyn’s largest carrier-neutral interconnection facility and a long-standing Industry City tenant, announced today that Mathpix — an AI-powered document automation company — is growing its footprint at the campus’s data center. Mathpix is deploying NVIDIA B300 GPU servers to handle AI training and real-time inference workloads, building on a colocation relationship established in 2024.

The logic is straightforward: for latency-sensitive AI applications, distance is a liability. By housing its infrastructure at Industry City rather than routing through distant cloud regions, Mathpix keeps processing close to its New York-area enterprise customers — with faster response times and better reliability as a result.

DataVerge supports GPU-intensive environments with high-density power and cooling, 24/7 on-site technical support, and connectivity to more than 35 carriers and network providers. With 1.5 MW of capacity available today and an additional 3 MW coming online in 2027, the facility is built to scale alongside its tenants.

Industry City is home to manufacturers, food producers, designers, scientists, and now, the physical backbone of Brooklyn’s AI economy. This is what it looks like when the future of tech gets built IRL. Learn more about industry city leasing here or by contacting lease@industrycity.com

Read the full announcement below or see on Yahoo! Finance.

DataVerge’s Brooklyn data center facility delivers low-latency AI inference, high-density GPU infrastructure, and long-term scalability for enterprise AI workloads

NEW YORK, May 19, 2026 (GLOBE NEWSWIRE) — DataVerge, owner and operator of Brooklyn’s largest carrier-neutral interconnection facility, today announced that Mathpix, the AI-powered document automation and scientific communication company, is expanding its infrastructure at DataVerge’s Industry City facility to support AI training and real-time inference workloads. Building on their colocation relationship established in 2024, Mathpix is deploying NVIDIA B300 GPU servers to meet growing demand for its document conversion and structured data extraction services.

Mathpix converts documents such as PDFs, handwritten notes, equations, and scanned files into structured, machine-readable text that feeds AI applications and automated workflows across enterprise, research, and financial markets. By colocating its AI training and inference servers at the Industry City facility rather than routing through distant cloud regions, Mathpix keeps processing close to where its New York-area users and enterprise customers are, cutting latency, improving reliability, and increasing cost savings.

NVIDIA B300s are purpose-built for production-scale training and inference, delivering significantly higher throughput and memory capacity than prior generations. These GPUs give Mathpix the hardware foundation to handle larger models, more concurrent workloads, and enterprise API traffic at the speed and consistency its customers require.

“For Mathpix, AI training and inference performance are product features,” said Nico Jimenez, CEO of Mathpix. “Our customers expect near-instantaneous document conversion, which means our infrastructure needs to be close to them and built for the demands of modern AI workloads. For both fine-tuning models and real-time inference, milliseconds matter when processing user uploads, enterprise batch jobs, and API-driven workflows. DataVerge gives us the ability to deploy the B300s with the power density, connectivity, and hands-on support we need at a cost structure that makes sense.”

DataVerge supports GPU-intensive environments with high-density cold aisle containment pods, 24/7/365 remote hands, fast incident response, and deep operational experience managing production AI infrastructure. Its Meet-Me Room interconnects more than 35 top-tier carriers and network providers, giving Mathpix broad carrier choice, redundant routing paths, and optimized connectivity for latency-sensitive API traffic. The facility is designed to expand power, cooling, and network capacity together as demand increases, so Mathpix can scale in place rather than having to move to a larger facility. With 1.5 MW available today and an additional 3 MW coming online in Q2 2027, DataVerge offers Mathpix the headroom to grow on its own timeline.

“The B300 delivers a step change in AI inference capability, enabling larger models, more concurrent workloads, and faster response times at enterprise scale,” said Ray Sidler, CEO and Cofounder of DataVerge. “But supporting that hardware in production requires high-density power and cooling, fast incident response, and the network architecture to keep latency low. AI inference companies don’t just need somewhere to put GPUs; they need production-grade infrastructure that’s close to their users and can scale without disruption.”

About DataVerge
Founded in 2003, DataVerge owns and operates the largest carrier-neutral interconnection facility in Brooklyn, a NY borough of 2.5 million. Located at Industry City in Sunset Park, DataVerge features a 50,000 sq. ft. data center space with a rich ecosystem of over 35 carriers and network providers, and direct connection to networks providing access to all major cloud on-ramps. In addition to offering a wide range of scalable colocation and infrastructure solutions, our customers receive 24/7/365 on-site technical support and 99.999% uptime, backed by best-in-class security. DataVerge is SOC 1 (SSAE18 Type 2) and PCI compliant.

About Mathpix
Mathpix provides world-class tools and APIs to quickly and accurately convert PDFs and images to searchable, exportable, and machine-readable text. Our mission is to accelerate the pace of technological progress, driven by the belief in the transformative power of science, engineering, and mathematics. At the core of our commitment is a focus on saving time for individuals working with math on their cell phones or computers. Our consumer app, Snip, automates the intricacies of typing math in documents and lets users query documents to get AI-generated answers, while our MathpixOCR API empowers developers to seamlessly integrate OCR capabilities into their own applications. Learn more at mathpix.com.

Contact:
Dana Zemack 
dana@scratchmm.com