Arista's $9.7 Billion AI Commitments Signal Long Revenue Wait

Cisco Systems reported fiscal fourth-quarter product revenue of $13.459 billion, up from $10.886 billion a year earlier, while services revenue was nearly unchanged at $3.793 billion versus $3.787 billion. The August 12 results cover the quarter ended July 25. Services costs fell to $1.160 billion from $1.199 billion, lifting calculated gross margin to 69.4% from 68.3% and producing $45 million more gross profit on just $6 million of incremental sales. Product revenue supplied almost the entire $2.579 billion increase in consolidated quarterly sales, and a 10% decline in quarterly product sales would remove $1.35 billion of revenue, which services would need to grow 35.5% from their current base to offset. At the October 8 closing price of $114.89, Cisco traded at 22.6 times the $5.08 midpoint of management's fiscal 2027 adjusted EPS guidance and 28.5 times the $4.03 midpoint of GAAP guidance, while total product orders grew 35%, or 25% excluding hyperscalers.

Arista Networks has unveiled a new open Ethernet rack-scale portfolio designed to support high-density artificial intelligence infrastructure across both scale-up and scale-out environments, developed with AMD, Arm, Broadcom, d-Matrix, Meta, Microsoft and Qualcomm. The company's Etherlink SU-14 architecture extends Ethernet into scale-up environments, supporting up to 144 accelerators in a single rack and up to 1,024 XPUs through cross-rack configurations. For scale-out AI environments, the rack-scale solutions support technologies such as ESUN, NVIDIA's NVLink, NVLink Fusion and PCIe, built on Arista's Netdi foundation using Ultra Ethernet Consortium standards. The rack designs integrate liquid-cooled 7060EX7 switches with up to 102.4 Tbps of capacity per switch, and the company's next-generation optics, including XPO and open CPO/NPO, can raise networking capacity from 1.6 Pb/s to 6.5 Pb/s per rack compared with current OSFP-based switches. Arista faces competition from Cisco Systems, which is expanding its AI infrastructure business through its Secure AI Factory with NVIDIA, and from NVIDIA, which is advancing its Vera Rubin platform and developing Spectrum-6 Ethernet.

Upscale, Inc. introduced Upscale Token Fabric, an open, standards-based networking architecture that unifies scale-up and scale-out networking for AI factories. The portfolio combines SkyFabriX scale-up switch silicon, which delivers 115.2 Tbps with a roadmap to multi-petabits per second, and scale-out systems powered by NVIDIA Spectrum-X, all unified by the SkyOS software foundation and SkyCMD orchestration plane. Upscale said the architecture is an industry-first open design that connects any GPU or XPU over one fabric, supporting standards including OCP ESUN, UALoE, SUE-T, and evolving protocols such as UALink. The company cited Dell'Oro forecasts of nearly $1 trillion in AI back-end switch spending through 2030 and 650 Group projections that AI networking will surpass $200 billion by 2030. General availability is planned for early 2027, with early-access and joint-validation programs already underway, and customers can adopt silicon, systems, software, or the full stack.

Hewlett Packard Enterprise has drawn fresh attention after a US$1.2 billion AMD Helios AI Rack order from Vultr and plans to run self-driving networking at the 2027 Ryder Cup in Ireland. The company's shares have returned 38.63% over the past month and gained 198.26% year to date, with a 1-year total shareholder return of 181.39% and a 5-year total shareholder return of 460.84%. The stock closed at $72.09 against a narrative fair value of $68.08, a view held by 87 investors who see the shares as 6% overvalued. On simple P/E math, Hewlett Packard Enterprise trades at 35.8x earnings, below its peer average of 76.9x and a fair ratio of 39x, though above the broader Global Tech industry at 19.5x. Strategic acquisitions and expansion in high-growth technologies, including the integration of Juniper, launches of next-gen Gen12 servers, and AI-driven management platforms, are cited as enhancing HPE's competitive positioning in edge, networking, and AI.