Jitendra Mohan
Analyst · Ananda Baruah of Loop Capital
Thank you, Leslie. Good afternoon, everyone, and thanks for joining our third quarter 2026 conference call. Today, I'll cover our Q3 results, market trends and traction across our AI fabric and signal conditioning portfolios. I'll then turn the call over to Sanjay to discuss our long-term growth profile, and Des will cover our Q3 financial results and Q4 guidance. Astera Labs delivered outstanding results in Q3 with record revenue of $584.9 million, up 49% sequentially and up 154% year-over-year. Operational execution was strong during the quarter as we've broadened our customer base with new design wins and expanded our intelligent connectivity platform with the launch of multiple new products. Q3 revenue growth was broad-based, led by the high-volume ramp of Scorpio X-Series for scale-up networks. Scorpio was our largest product family in Q3, with Scorpio X-Series revenue crossing over our P-Series. Together, Scorpio represented over $1 billion in annualized revenues. This is an important milestone in our journey to be a critical rack-scale AI infrastructure solutions provider. Since our last earnings call, we have meaningfully expanded our portfolio with a record number of product launches. This includes the launch of Aries 7, the industry's first PCIe Gen 7 copper and optical connectivity solutions, Leo 2 and Leo X-Series smart memory controllers for AI and general purpose use cases, and Orion, our new compute agnostic rack scale architecture targeting enterprise AI and inference applications. Together, these innovations broaden the markets and applications we serve, creating greater value for our hyperscaler and enterprise customers while supporting a diversified long-term revenue growth profile. Our design-in picked up significantly in Q3 at both new and existing customers. Scorpio is increasingly establishing itself as a diversified AI fabric platform with momentum extending across both X-Series and P-Series portfolios. In Q3, X-Series shipped to two customers across multiple platforms, and we expect to deliver preproduction volumes to additional new customers during the current quarter. The P-Series similarly broadened its footprint across multiple platforms, including 2 U.S. hyperscalers in Q3. Beyond AI fabric, we see additional vectors for diversification. Taurus 800-gig solutions are qualified and shipping in volume to our lead customer and are currently sampling across several additional customers. Leo momentum continues with qualifications completed across several customers, including two hyperscalers and we expect to ramp volume shipments in mid-2027. Our custom solutions business is also seeing a substantial increase in design activity as the number of opportunities have broadened over the course of the year with over 10 active engagements. Finally, our platform business, anchored by our Orion reference architecture, is generating strong early customer interest with initial shipments expected to begin in 2027. AI infrastructure demand continues to strengthen with our hyperscaler customers reporting strong revenue growth from AI services. Yet the physical inputs, wafer capacity, grid power and memory supply remain tightly constrained. That combination puts a premium on utilization. At the same time, the workload mix is shifting to inference where continuous reasoning loops multiply the traffic crossing the fabric. Operators now optimize for two things: latency to deliver faster time to first token and accelerator utilization to drive dollars per token. Our Scorpio AI fabric is purpose built for exactly these metrics. As token economics become increasingly important to our customers, let me highlight the differentiated capabilities driving Astera's success in AI fabric. First, radix. Our. radix portfolio of Scorpio X devices including the industry's largest 320-lane configuration enables large cluster sizes for PCIe-like scale-up AI fabrics. Scorpio X high lane count helps to maximize scale-up domain sizes while enabling an all-to-all flat topology to allow AI accelerators to communicate at full bandwidth with low latency. This is particularly important for AI inferencing as fewer hops reduce collective communication latency, allowing resources to be spent on compute rather than moving data between switches. Increased utilization results in higher tokens per second and ultimately, greater monetization from the same accelerator investment. Second, intelligence. Conventional switches just move packets. Scorpio X-Series is AI workload aware and participates in collective communication and computation. Hardware accelerated Hypercast and in-network compute offload AI operations such as all-reduce and broadcast from the accelerators directly into our fabric, delivering up to a 2x improvement in collective performance. Similarly, fabric attached Leo memory controllers for KV cache offload delivered significant improvement in time to first token and tokens per second. By utilizing advanced AI aware capabilities enabled by Scorpio and Leo products, customers can improve token economics and increase token output with the same number of accelerators. Third, software. COSMOS is a software layer that transforms our AI fabric and smart connectivity solutions into infrastructure that our customers can deploy, manage and operate efficiently at scale. COSMOS software spans our entire portfolio, is broadly adopted across the AI ecosystem and extends from device level diagnostics to fabric and rack management. COSMOS speeds rack deployment by resolving connectivity issues in software instead of costly hardware spins, then keeps rack online with fabric-wide telemetry and predictive fault detection. It also configures and manages Hypercast and in-network compute. So our software directly participates in the AI workload running on XPUs in addition to managing the connectivity infrastructure. Faster time to revenue and higher utilization of AI infrastructure are the reasons why COSMOS is driving new design wins across our product portfolio. These differentiated capabilities are optimizing performance and increasing XPU utilization, which is rapidly expanding our opportunity funnel and accelerating design win conversion. As a result, we expect to deliver strong diversified growth with our AI fabric portfolio through increasing value to our customers and continued expansion of our dollar content per AI accelerator. Today, our content per XPU across fabric switches and copper signal conditioning can exceed $1,000 per XPU. We expect our next-generation AI fabric products alone to contribute well beyond $1,000 per XPU. Over time, we aim to address the entire scale-up switching TAM, expanding from PCI Express and NVLink Fusion-based platforms today to systems based on UALink and other protocols. With the addition of memory controller and optical connectivity products, increasing AI fabric attach rates driven by next-generation scale-up protocols, including UALink, larger cluster sizes and higher ASPs associated with each data rate transition, we see a path to doubling our total silicon dollar content per XPU with each new generation of AI platforms. In summary, Q3 marked another important step in Astera Labs evolution. Record results were led by the high-volume ramp of Scorpio X-Series and continued growth across our signal conditioning portfolio. We also saw a strong design win momentum across new and existing customers and launched a record number of products during the quarter. Looking ahead, we see significant opportunities across optical connectivity, custom silicon, memory solutions and rack scale infrastructure that build on our core franchises, expand our addressable market and position us for long-term growth. With that, let me turn the call over to our President and COO, Sanjay Gajendra.