$ANET Q2 2024 AI-Generated Earnings Call Transcript Summary

ANET

Jul 31, 2024

The operator introduces the Second Quarter 2024 Arista Networks Financial Results Earnings Conference Call, reminding listeners that it will be recorded and available for replay. Liz Stine, Arista's Director of Investor Relations, begins the call and introduces the CEO and CFO. Arista Networks has released a press release announcing their second quarter results and management will discuss forward-looking statements, including financial outlook and market opportunities. These statements are subject to risks and uncertainties and may change in the future.

The company's financial measures are expressed on a non-GAAP basis and have been adjusted to exclude certain charges. They have provided reconciliations of these measures in their earnings press release. The company's second quarter earnings call reported revenues of $1.69 billion and a non-GAAP earnings per share of $2.10. Services and Software Support renewals were strong contributors to revenue. The company's non-GAAP gross margin was 65.4% and international contribution was at 19%. They recently launched Arista's Etherlink AI platforms, which are ultra-Ethernet consortium compatible and offer a rich portfolio of 800-gig products. The AI portfolio includes the 7060 x6 AI switch and the 7800 R4 AI Spine, which have high port density and capacity.

The 7700 R4 AI distributed Etherlink Switch is a highly advanced product that offers unparalleled performance for large AI clusters. Arista has been consistently improving Ethernet technology since 2009 and is now focusing on AI in their fifth generation of products. They have had success in the cloud, AI, campus, and enterprise markets. Ashwin Kohli, the Chief Customer Officer, shared four customer success stories, including a Tier 2 cloud provider who was experiencing performance and scale issues with their legacy networking vendor. Arista's solution involved a 2-step migration to alleviate these issues and eventually implementing a 800-gig AI Ethernet link.

The second win for Arista showcases their success in both campus and routing solutions. Leveraging their previous data center design, Arista was able to quickly create a design for a customer's new corporate headquarters. They also simplified the customer's routing network and provided visibility and life cycle management through their CloudVision platform. Another win for Arista was securing a large automotive manufacturer as a customer, who was looking for consistency and automation in their infrastructure, which Arista was able to provide through their binary image and CloudVision solution.

Arista's simplified solution has led customers to adopt their products beyond the data center and into the routing component of their infrastructure. This demonstrates the versatility of their EOS and One CloudVision solution. Their recent win in the service provider routing space further showcases their strength in this area. They are at the forefront of providing innovative solutions for service providers, such as their routers that support dense 400-gig Zero Plus coherent pluggable optics. They recently achieved their highest Net Promoter Score of 87, demonstrating the momentum of their enterprise sector. They are also powering the broadcasters of the Olympics, showcasing their commitment to the media and entertainment vertical. Overall, 2021 has been better than expected for Arista due to their strong position in the marketplace and their best-of-breed platform for mission-critical networking.

The article discusses the increasing importance of lossless, highly available networks in AI training models and the evolution of data centers into holistic AI centers. Arista's differentiated EOS network data systems are able to handle multimodal AI data sets, and the company has showcased its AI agent technology that can connect directly to network interface cards for improved performance. The company's networking platforms are becoming central to all digital transactions, including those in campus, data center, and AI centers. The Chief Financial Officer will review the financial details next.

In Q2, the company's total revenues were $1.69 billion, exceeding the upper end of their guidance. Growth was seen in all sectors and services and subscription software contributed to a higher percentage of revenue. Gross margin increased to 65.4%, driven by a reduction in inventory-related reserves. Operating expenses increased due to higher R&D spending and sales and marketing expenses. Operating income was $785.6 million and other income and expense was favorable. The effective tax rate was 21.5%.

In the second quarter, the company reported a net income of $672.6 million, which is 39.8% of the total revenue. The diluted earnings per share increased by 32.9% from the previous year. The company also repurchased $172 million of their common stock and generated $989 million in cash from operations. The DSO was 66 days, impacted by large service renewals, and inventory turns were 1.1x. The company's purchase commitments and inventory totaled $4 billion, and their deferred revenue balance was $2.1 billion. The product deferred revenue increased by $253 million from the previous quarter.

The company is expecting 2024 to be a year of new product introductions, new customers, and expanded use cases, which may result in increased customer trials and contracts. This could lead to variability and magnitude in product deferred revenue balances. Accounts payable days have increased, reflecting the timing of inventory receipts and payments. The company is encouraged by the market momentum and will continue to invest in R&D and go-to-market efforts. Revenue growth guidance for fiscal year 2024 is at least 14%, with gross margin remaining at 62-64% and operating margin raised to approximately 44%. Third quarter guidance is also provided. The Q&A portion of the call begins.

Michael Ng asks about the modularity of Blackwell and its effect on Arista's positioning. Jayshree Ullal explains that as GPUs get faster, the dependency on the network for higher throughput increases, and Arista's timely introduction of 800-gig products will be required. She also mentions a new consortium for specifying connectivity, but believes Ethernet will eventually win. Arista plays strongly in the scale-out market, not the scale-up market. The deferred revenue balance is up 95% year-on-year, reaching $520 million for product deferred.

A question was asked about the product deferred line and how it relates to AI opportunities. The CEO and CFO explained that product deferred can fluctuate and is not necessarily indicative of long-term trends. They also mentioned that they have four major AI trials with cloud and AI companies that are progressing well.

In this paragraph, Jayshree Ullal discusses the potential for growth in the AI networking market, with the hope that next year they will see a 5 out of 5 success rate. She also mentions smaller customers who are starting to do AI pilots. Ashwin Kohli clarifies that his team is having conversations with general-purpose enterprise customers and Tier 2 cloud providers, who are early adopters and are starting with a few hundred GPUs. In response to a question about the TAM, Jayshree explains that it is far greater than the $750 million they have projected for next year, and includes data center, AI, campus, and wide area networking.

In the paragraph, the speaker discusses the four main building blocks of their business - campus center, data center, AI center, and ran center. They also mention the growth in software and service renewals, particularly in CloudVision observability and security. The speaker acknowledges the shift towards AI spending in the cloud, but also notes that there is still a significant investment in traditional infrastructure, such as the refresh cycle for 100 to 200 or 200 to 400 gig. When asked about the updated '24 guide, the speaker mentions that their growth may accelerate in the second half of the year due to easier comparisons, but they cannot guarantee it.

Jayshree and Chantelle discuss their guidance of at least 14% growth for the second half of the year, with Jayshree mentioning their traditional conservatism and increasing confidence for 2025. A question is raised about the lower implied growth in the fourth quarter, but Jayshree clarifies that this is not due to any special timing or seasonality, and that they have exceeded their gross margin guidance in the past two quarters.

The speaker congratulates Mike Capas and John McCool for reducing costs and maintaining gross margins as projected. They aim for double-digit growth but do not want to use Q2 as a benchmark. They do not guide product deferred revenue but it met expectations. They are waiting for customer acceptance of new products, but it is uncertain when that will happen.

The timing of customer deployments for Arista's products varies depending on the customer and their specific needs. There is no set trend for this and it will be reflected in the company's quarterly forecasts. In regards to a specific Tier 2 customer, their front-end refresh is meant to improve bandwidth concerns from the back-end, but it is difficult to determine how this will impact the overall $750 million target for back-end revenues. However, the company is seeing strong migration to 100 gig data centers and some customers are even moving to 400 gig.

Jayshree Ullal discusses Arista's success in the data center market and their $750 million target for next year. She also mentions that the company is seeing a lot of activity in the routed ran market and in AI trials, with customers recognizing the importance of reliability and performance. In terms of new customers, Arista is adding hundreds every quarter. In response to a question about the overall market, Ullal mentions that there are indications of recovery in enterprise networking and traditional server units and that Arista is hearing commitment from customers to upgrade their services and networking gear in the next few quarters.

Jayshree Ullal discusses the adoption and growth of server and networking gear in campus environments. She explains that servers are not typically related to campuses, but rather to data center upgrades. In the campus, there are two main trends: greenfield buildings planning for the future and modernizing existing campuses with new technologies. Ullal notes that the campus market is sluggish, but there is a growing interest in modernization. When asked about the potential for back-end network architectures to capture more of the traditional front-end, Ullal believes that Ethernet is becoming more dominant and expects it to continue to grow in the future.

The speaker expects it to become difficult to distinguish between the front and back end in terms of spending due to the move to Ethernet. In the future, the AI center will be a combination of both. There may be more edge, inference, and small-scale training use cases which will make it difficult to distinguish between the two. The question is raised about whether the Cloud Titans are under-investing in the traditional CPU side of the data center and if there will be a catch-up in spending in that area in the future.

The speaker acknowledges that there is a bias towards training and super training in the Cloud Titans, neglecting the more traditional cloud services. However, they believe that once training models are established, there will be a cycle that feeds into both areas. They also mention that the reacceleration of application growth plays into this dynamic. When asked about competition, the speaker mentions that they consider NVIDIA a friend and have not seen much competition from them in the Spectrum switch market. They feel confident in their win rate and success.

The speaker discusses the success of their software, portfolio products, and architecture in terms of performance, visibility, management, and high availability. They believe that bundling their products with GPUs would not be successful, but they have had success with customers looking for the best of breed. The speaker then addresses the enterprise side of their business, stating that they have seen a lot of refresh activity from early adopters and fast followers, while still tapping into untapped opportunities with risk-averse customers and those looking to repatriate workloads from the public cloud. The speaker's colleague adds that they are seeing activity in all four categories of enterprise customers and that there is still a lot of opportunity for them in terms of speed upgrades and targeting different types of customers.

The speaker discusses the feedback from customers who are tired of being locked into proprietary data centers and want a simple and reliable network. They mention that Arista has been successfully delivering this for 10+ years and is expanding to new customers. In response to a question about gross margin, the speaker explains that they are trying to be conservative but are always aiming to do better. The main factor influencing the gross margin outlook for the next quarter is the expected mix of customers.

The speaker discusses the company's second half strategy and the role of cost management in their performance. They also mention the concentration of their top customers, with Microsoft and Meta expected to remain significant while the others may change. The company has a strong partnership with these customers and will continue to work closely with them.

Arista expects to do well with its cloud and AI products, but it is not aware of any customers that will contribute to 10% of its revenue in the next year. The company's software services, particularly its services, perpetual software, and security offerings, are growing in the teens and are expected to continue to do so. The company's focus on these areas could help drive growth in the future.

The speaker discusses the impact of AI networks on revenue and explains that the design of these networks is complex and involves many metrics such as number of GPUs, performance, and billions of parameters. The size and distribution of these clusters plays a role in revenue and factors such as optimization, resilience, and visibility are also important.

The speaker discusses how the company's training models are focused on job completion time and how a network design-centric approach is necessary for their GPU clusters. They mention that the ramp of AI likely next year will have a bigger contribution in Q4, and that the company is currently in the trial and pilot stages, but expects more promising results next year with some potential progress this year.

The speaker, Jayshree Ullal, believes that the company has made significant progress in transitioning from trials to pilots for their AI technology, with thousands of trials expected this year and a projected revenue of $750 million or more next year. The other speaker, Chantelle Breithaupt, agrees and adds that the company is working with different types of customers and there may be variability in deployment timing. Ullal also mentions that power and cooling may affect deployment at a large scale. The company has posted a presentation with more information on their website.

This summary was generated with AI and may contain some inaccuracies.

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