Reports
AI-generated structured vendor updates
WhiteFiber and DriveNets Achieve 111.2 Tbps Cross-DC AI Fabric, Breaking Power Constraints
WhiteFiber announces Project Redwood, partnering with DriveNets Ethernet AI fabric (FSE, VOQ, deep buffers), WEKA storage, and NVIDIA H200 GPUs, achieving 111.2 Tbps bandwidth and 0.9ms latency over 83km dark fiber, treating two geographically separated GPU clusters as a single logical supercluster. Commercialization planned for Q3 2026.
Qualcomm Dragonfly: 250-core CPU, HBC memory, UALink interconnects target AI inference TCO
Qualcomm unveils full data center portfolio: Dragonfly C1000 250-core Oryon CPU (>5GHz, PCIe Gen7, CXL), HBC near-memory compute (133TB/s Gen1, 18x-54x effective BW), AI300 inference accelerator (UALink/ESUN scale-up), and 800G/1.6T connectivity. Multi-year Meta CPU deal. Commercial sampling 2027-2028. Targets inference TCO with tokens-per-watt leadership.
OpenAI and Broadcom Unveil Jalapeno Inference ASIC, Reshaping AI Hardware Landscape
OpenAI, in collaboration with Broadcom, has developed Jalapeno, a custom LLM inference accelerator. The chip uses a multi-chip module with HBM3E memory and achieved tape-out in just nine months. Designed for OpenAI's model stack, it aims to reduce inference costs and dependency on NVIDIA GPUs, with initial deployment planned for late 2026.
HPE Expands Self-Driving Networks: AI Control Plane Unifies Juniper & Aruba, Locks Management Stack
HPE integrates Juniper networking into its AI Data Center Solution, expanding self-driving networks across edge, campus, DC, and AI factories. New Mist support for CX switches, Marvis AIOps in Aruba Central, and QFX switches optimized for inferencing. Unified SASE platform aims to simplify operations via agentic AI automation, consolidating control under a single AI management plane.
NVIDIA GB300 NVL72 Delivers 20x Agentic Coding Efficiency, Setting New Inference Benchmark
NVIDIA's GB300 NVL72 achieves 20x more concurrent coding agents per megawatt than H200 on the new AA-AgentPerf benchmark, leveraging 72-GPU NVLink fabric, MXFP4 kernels, and MoE optimizations. This first standardized agentic inference benchmark redefines data center capacity planning for AI agents.
Cisco Scale-Across: Converged Silicon and Optics for Distributed AI Training
Cisco unveils Scale-Across architecture combining Silicon One P200 routing (51.2Tbps) and coherent pluggables (400G/800G ZR/ZR+) with open line systems, enabling deterministic low-latency, lossless connectivity for distributed AI training across data centers separated by tens of kilometers.
Cisco Unveils Universal Quantum Switch Prototype to Enable Quantum Network Interoperability
Cisco announced a research prototype of its Universal Quantum Switch, targeting a key hardware bottleneck in quantum networking. The device enables routing and conversion between quantum systems using different encoding modalities, operates at room temperature on standard telecom fiber, and lays the groundwork for scalable, heterogeneous quantum computing and sensing networks.
NVIDIA Shifts AI Infrastructure Metric from FLOPS to Cost Per Token
NVIDIA advocates for "cost per token" as the primary economic metric for AI infrastructure, replacing "FLOPS per dollar." This shift moves the focus from computational inputs to business outputs, requiring full-stack optimization across hardware, software, and networking to lower enterprise AI inference TCO.