Infrastructure Management

d-Matrix Unveils JetStream I/O for Ultra-Fast AI Inference at Scale

d-Matrix Unveils JetStream I/O for Ultra-Fast AI Inference at Scale

Paired with d-Matrix’s Corsair accelerators and Aviator software, JetStream can deliver up to 10x speedups, 3x better cost-performance, and 3x higher energy efficiency than GPU-based offerings

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.1

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.

“JetStream networking comes at a time when AI is going multimodal, and users are demanding hyper-fast levels of interactivity,” said Sid Sheth, d-Matrix co-founder and CEO. “Through JetStream, together with our already-announced Corsair compute accelerator platform, d-Matrix is providing a path forward that makes AI both scalable and blazing fast.”

JetStream is a transparent NIC and streaming solution optimized for d-Matrix Corsair accelerators. Packaged in an industry-standard PCIe format and compatible with off-the-shelf Ethernet switches, JetStream NICs are easy to deploy within existing data centers – eliminating the need for costly infrastructure replacement.

Availability
JetStream NICs are full-height PCIe Gen5 cards delivering a maximum 400Gpbs bandwidth. Samples are available now, with full production expected by year-end.

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