d-Matrix today announced d-Matrix Squadron, a fleet of multi-rack systems offering megawatts of highly efficient inference compute for running AI models with extreme speed and energy efficiency at data center scale. Benefiting from d-Matrix's unique memory-centric compute architecture, Squadron clusters are ideal for AI labs, enterprises, and sovereign organizations with latency-sensitive AI applications including coding, personal agents, cybersecurity, and high-frequency trading.

Developed in partnership with Arista, Broadcom, and Supermicro, Squadron has already been deployed by d-Matrix in its Arizona data center for internal research and development and is now shipping to priority customers for deployment in their own data centers. Additionally, Squadron's building blocks—d-Matrix Corsair servers and d-Matrix Corsair SquadRacks—are now generally available.

d-Matrix, the pioneer in generative AI inference for data centers, and Alchip, the high-performance and AI infrastructure ASIC leader, are collaboratively developing the world's first 3D DRAM-based datacenter inference accelerator that will eliminate the performance and cost bottlenecks constraining today's AI infrastructure. The joint initiative combines Alchip's ASIC design expertise with d-Matrix's digital in-memory compute platform architecture. The collaboration has already enabled a key technology, d-Matrix 3DIMC, that is featured on d-Matrix Pavehawk test silicon and has been successfully validated in d-Matrix's labs.

3DIMC will commercially debut on the d-Matrix Raptor inference accelerator, the successor to d-Matrix Corsair. It will be the world's first 3D-stacked DRAM solution capable of delivering up to 10× faster inference than HBM4-based solutions, enabling more efficient AI inference for generative and agentic AI workloads.

d-Matrix today announced the expansion of its AI product portfolio with d-Matrix JetStream, a custom I/O card designed from the ground up to deliver industry-leading, data center-scale AI inference. With millions of people now using AI services - and the rise of agentic AI, reasoning, and multi-modal interactive content - the industry's focus is quickly shifting from model training to deploying AI at ultra-low latency across multiple users.

When combined with d-Matrix Corsair accelerators and d-Matrix Aviator software, JetStream I/O accelerators can scale to state-of-the-art models exceeding 100B parameters, delivering 10x the speed, 3x better cost performance, and 3x greater energy efficiency than GPU-based solutions. JetStream's addition to the company's product portfolio makes d-Matrix one of the few AI infrastructure providers offering a complete platform that spans compute, software, and networking.

Ayar Labs, the leader in optical interconnect solutions for large-scale AI workloads, today announced the industry's first Universal Chiplet Interconnect Express (UCIe) optical interconnect chiplet to maximize AI infrastructure performance and efficiency while reducing latency and power consumption. By incorporating a UCIe electrical interface, this solution is designed to eliminate data bottlenecks and integrate easily into customer chip designs.

Capable of achieving 8 Tbps bandwidth, the TeraPHY optical I/O chiplet is powered by Ayar Labs' 16-wavelength SuperNova light source. The integration of a UCIe interface means this solution not only delivers high performance and efficiency but also enables interoperability among chiplets from different vendors. This compatibility with the UCIe standard creates a more accessible, cost-effective ecosystem, which streamlines the adoption of advanced optical technologies necessary for scaling AI workloads and overcoming the limitations of traditional copper interconnects.

d-Matrix today unveiled Corsair, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair leverages d-Matrix's innovative Digital In-Memory Compute architecture (DIMC), an industry first, to accelerate AI inference workloads with industry-leading real-time performance, energy efficiency, and cost savings as compared to GPUs and other alternatives.

The emergence of reasoning agents and interactive video generation represents the next level of AI capabilities. These leverage more inference computing power to enable models to "think" more and produce higher quality outputs. Corsair is the ideal inference compute solution with which enterprises can unlock new levels of automation and intelligence without compromising on performance, cost or power.

d-Matrix, the leader in high-efficiency generative AI compute for data centers, has closed $110 million in a Series-B funding round led by Singapore-based global investment firm Temasek. The goal of the fundraise is to enable d-Matrix to begin commercializing Corsair, the world's first Digital-In Memory Compute (DIMC), chiplet-based inference compute platform, after the successful launches of its prior Nighthawk, Jayhawk-I and Jayhawk II chiplets.

d-Matrix's recent silicon announcement, Jayhawk II, is the latest example of how the company is working to fundamentally change the physics of memory-bound compute workloads common in generative AI and large language model (LLM) applications. With the explosion of this revolutionary technology over the past nine months, there has never been a greater need to overcome the memory bottleneck and current technology approaches that limit performance and drive up AI compute costs.