DriveNets Expands AI Fabric Portfolio with New High-Capacity Platforms
DriveNets has expanded its AI Fabric portfolio with two new networking platforms, the DriveNets 2600SL and 2601S, announced in a press release. Both platforms are designed for large-scale AI infrastructures supporting hundreds of thousands of XPUs and are based on Broadcom's Tomahawk 6 ASIC. They provide a total capacity of 102.4Tbps across 64 ports of 1.6Tbps and will begin shipping in the third quarter of 2026.
The DriveNets 2601S features air cooling, while the 2600SL offers a fully liquid-cooled design for improved thermal efficiency. The platforms support flexible configurations including 64x1600Gbps, 128x800Gbps, 256x400Gbps, and 512x200Gbps, allowing deployment in various network topologies such as two-level and three-level fat tree architectures.
DriveNets stated that the new systems extend its AI Fabric capabilities to support scale-up, scale-out, and scale-across configurations. The software stack includes performance optimizations across NIC drivers, kernel, and Collective Communications Library layers. The platforms are managed through the DriveNets AI Cluster Orchestrator, which oversees provisioning, benchmarking, and operations at scale.
The company also offers DriveNets Infrastructure Services for deployment and optimization support. According to Broadcom, pairing its Tomahawk 6 silicon with DriveNets' AI Fabric provides high performance and reliability for large AI clusters based on open Ethernet architectures.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 13 Ubitium raises $14 million for universal physical AI processor Oct 13 Seeq and Applied Computing Pair AI Tools for Energy Operations Oct 13 Supermicro Expands OCP Portfolio for AI Data Centers Oct 13 Orbius and Armada Launch Edge Cloud Service for Remote AI Oct 13 Nebius Signs Letter of Intent for VOLT Rotterdam AI GigafactoryMore from Enterprise
Oct 13 Abacum Launches Modeler AI Agent for Finance Teams Oct 13 Seeq and Applied Computing Pair AI Tools for Energy Operations Oct 13 Voya Selects UnqorkAI for Retirement Experiences Oct 13 Smokeball Adds Westlaw Deep Research to Archie AI Oct 13 Promise Robotics Signs D.R. Horton Deal to Support 1,250+ HomesEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Airoha Details 50G PON AI Gateway Processor
Xsight Labs Introduces 25 Watt E1L DPU for Edge Systems
Supermicro Expands OCP Portfolio for AI Data Centers
Spectrum Adds NVIDIA AI Compute to Its Edge Network
MiTAC Shows Liquid Cooled AI Infrastructure at OCP Summit
Daily AI Brief: the AI news that matters, in your inbox.