Thank you, Liz. Thank you, everyone, for joining us this afternoon for our fourth quarter 2023 earnings call. 2023 has been another memorable year for Arista. We gave initial guidance of 25% year-over-year revenue growth and instead achieved well beyond that at 33.8%, driving revenue to $5.86 billion, coupled with a record non-GAAP earnings per share for the year of $6.94, up in excess of 50% annually. Back to some Q4 specifics. We delivered revenues of $1.54 billion for the quarter, with a non-GAAP record earnings per share of $2.08 due to a one-time favorable tax rate. Services and software support renewals contributed approximately 17% of revenue. Our non-GAAP gross margins of 65.4% was influenced by improving supply chain and greater enterprise mix. International contributions for the quarter registered at 22.3%, with the Americas at 77.7%. This was one of our strongest-performing international quarters in recent history. Shifting to annual sector revenue for 2023. Cloud titans contributed significantly at approximately 43%. Enterprises, including financials was strong at approximately 36%, while the providers were at 21%. Both Meta and Microsoft are greater than 10% customer concentration at 21% and 18%, respectively. Despite multiple CapEx reductions last year and the normal volatility of cloud titan and AI pivot, we cherish our privilege status with both M and M. Speaking of AI, in fall of 2023, Andy and I attended the 50th golden anniversary of Ethernet at the Computer History Museum. It truly is a reminder of how familiar and widely deployed Ethernet is with the speed increasing by orders of magnitude from a shared collision 2.95 megabits for file printed share to a terabit Ethernet switching in the AI and ML era. AI workloads are placing greater demand on Ethernet, as they are both data and compute-intensive across thousands of processes today. Basically, AI at scale needs Ethernet at scale. AI workloads cannot tolerate the delays in the network, because the job can only be completed after all flows are successfully delivered to the GPU clusters. All it takes is one culprit of worst-case link to throttle an entire AI workload. Three improvements are being pioneered by Arista and the founding members of the Ultra Ethernet Consortium to improve job completion time. Number one, packet spraying. AI network topology needs packet spraying to allow every flow to simultaneously access all parts of the destination. Arista's developing multiple forms of load balancing dynamically with our customers. Two is flexible ordering. Key to an AI job completion is the rapid and reliable bulk transfer with flexible ordering using Ethernet links to optimally balance AI-intensive operations, unlike the rigid ordering of InfiniBand. Arista is working closely with its leading vendors to achieve this. Finally, network congestion. In AI networks, there's a common incast congestion problem whereby multiple uncoordinated senders can send traffic to the receivers simultaneously. Arista's platforms are purpose-built and designed to avoid these kind of hotspots, evenly spreading the load across multi-packs across our virtual output queuing, VoQ lossless fabric. In terms of annual 2023 product lines, our core, which consists of cloud, AI and datacenter products, are built upon our highly differentiated Arista Extensible Operating software system stack. It is successfully deployed across 10, 25, 100, 200 and 400 gig speeds. Our cloud networking products deliver power-efficient, high availability zones without doubling the cost of redundancy as datacenters demand insatiable bandwidth capacity and network speeds for both the front-end and back-end storage and compute clusters. The core drove approximately 65% of our revenue. We continue to gain share in our highest performance switching of 100, 200 and 400 gig ports to obtain the number one position, at approximately 40-plus percent, according to industry analysts. We have increased our 400-gig customer base from 600 customers in 2022 to approximately 800 customers in 2023. We expect both 400 and 800 gigabit Ethernet will emerge as important pilots for AI back-end GPU clusters. We are cautiously optimistic about achieving our AI revenue goal of at least $750 million in AI networking in 2025. Our second market is network adjacencies comprised of routing, replacing routers and our cognitive campus workspaces. We continue to make progress in campus aiming for the $750 million revenue by 2025 that we have shared at many Analyst Days. Our investments in cognitive wired and wireless, zero-touch provisioning and the introduction of AGNI, Arista Guardian for Network Identity as well as AVA sensors for threat mitigation is resonating well with our campus customers. The post-pandemic campus is seeking network-as-a-service overlay and zero-trust network embedded in with high availability, observability and consistency across our OS and management domains. We are also successfully deployed in many routing edge and peering use cases. Just in 2023 alone, we introduced six EOS software releases across 600 new features and 50 platforms. In fall of 2023, we introduced our WAN routing system with a focus on scale, encryption and WAN transit routing capabilities. It has positioned us well, giving our customers a seamless enterprise LAN and WAN portfolio. The campus and routing adjacencies together contribute approximately 19% of revenue. Our third category is network software and services based on subscription models such as Arista A-Care, CloudVision, DAN