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Broadcom Ships Tomahawk Ultra: Reimagining the Ethernet Switch for HPC and AI Scale-up
Globenewswire· 2025-07-15 13:00
Core Insights - Broadcom has launched the Tomahawk Ultra Ethernet switch, designed to enhance performance for high-performance computing (HPC) and AI workloads with ultra-low latency and lossless networking capabilities [1][2][3] Product Features - Tomahawk Ultra achieves sub-400ns XPU-to-XPU communication latency, setting a new benchmark for synchronized AI compute at scale [5] - The switch reduces Ethernet header overhead from 46 bytes to 10 bytes, significantly improving network efficiency while maintaining compliance [6] - It incorporates lossless fabric technology, utilizing Link Layer Retry (LLR) and Credit-Based Flow Control (CBFC) to prevent packet loss during high-volume data transfers [7][8] - The switch supports In-Network Collectives, executing collective operations directly within the switch chip, which reduces job completion time and enhances resource utilization [8] Market Positioning - The Tomahawk Ultra is positioned as a solution for the convergence of AI and HPC workloads, meeting the demands for supercomputer-class latency and reliability [3][4] - It is designed to be endpoint-agnostic, facilitating immediate adoption across various system architectures and vendor ecosystems [9] Strategic Developments - Broadcom has introduced SUE-Lite, an optimized version of the Scale-Up Ethernet specification, tailored for power-sensitive applications while retaining low-latency and lossless characteristics [10][11] - The Tomahawk Ultra, along with the Tomahawk 6, forms a unified Ethernet architecture that supports both scale-up for AI and scale-out for HPC [12] Industry Impact - The launch of Tomahawk Ultra is seen as a significant advancement in Ethernet innovation, particularly for AI and HPC environments, with industry leaders expressing excitement about its potential to accelerate job completion times and enhance performance [19][20][21][22][23][24][25][26][27][28][29]
小摩:AI“印钞机”全速运转 博通(AVGO.US)Q2有望交出亮眼业绩
智通财经网· 2025-06-04 07:41
Group 1 - Morgan Stanley reports that Broadcom (AVGO.US) is expected to announce second-quarter earnings that meet or slightly exceed market expectations due to strong demand for AI products, stabilization in non-AI semiconductor business, and continued growth in VMware business [1][2] - The demand for AI-related revenue at Broadcom remains robust, driven by the production ramp-up of Google's TPU v6 3nm ASIC chips, which is expected to contribute significantly to revenue in fiscal years 2025 and 2026, with projected revenue exceeding $15 billion over the project lifecycle [1] - Broadcom's AI business revenue is anticipated to reach between $19 billion and $20 billion in fiscal year 2025, representing a year-over-year growth of approximately 60% [1] Group 2 - In the non-AI semiconductor sector, revenue growth is expected in the wireless segment as industry cyclical trends improve, with stable demand in enterprise, server/storage, and broadband sectors [2] - Broadcom's software infrastructure business, particularly VMware, is maintaining strong momentum due to robust software renewal capabilities and deepening collaborations with large enterprise clients [2] - For the second quarter, Broadcom's revenue, earnings, and free cash flow (FCF) are projected to meet or slightly exceed market expectations, with third-quarter revenue expected to grow by 5%-7% quarter-over-quarter, reaching around $16.1 billion, surpassing general market expectations [2]
【招商电子】博通(AVGO.O)25Q1跟踪报告:本季新大规模XPU客户增至4家,维持AI业务长期指引
招商电子· 2025-03-09 10:49
Core Viewpoint - Broadcom's FY2025 Q1 results exceeded expectations with revenue of $14.916 billion, a year-on-year increase of 25% and a quarter-on-quarter increase of 6% [1][5][12] - The company's AI business revenue grew significantly, with a 77% year-on-year increase to $4.1 billion, driven by strong demand from hyperscale data centers [2][6][11] Group 1: Financial Performance - FY2025 Q1 revenue reached $14.916 billion, surpassing previous guidance of approximately $14.6 billion [1][12] - Gross margin for the quarter was 79.1%, up 3.74 percentage points year-on-year and 2.2 percentage points quarter-on-quarter, benefiting from increased infrastructure software revenue and a favorable semiconductor revenue mix [1][12] - Adjusted EBITDA reached a record $10.1 billion, representing 68% of revenue, higher than the previously guided 66% [13][15] Group 2: Semiconductor Division - Semiconductor revenue was $8.2 billion, accounting for 55% of total revenue, with an 11% year-on-year increase and a gross margin of approximately 68% [2][12] - AI-related semiconductor revenue was $4.1 billion, up 77% year-on-year, driven by strong shipments to hyperscale data centers [2][6] - Non-AI semiconductor revenue was $4.1 billion, down 9% quarter-on-quarter due to seasonal declines in wireless business [9][12] Group 3: Infrastructure Software Division - Infrastructure software revenue was $6.7 billion, representing 45% of total revenue, with a 47% year-on-year increase [2][10] - The gross margin for infrastructure software was 92.5%, reflecting a shift from perpetual licenses to a subscription model [10][11] - VMware's revenue significantly contributed to the growth in infrastructure software [10][11] Group 4: Future Guidance - For FY2025 Q2, the company expects revenue to be approximately $14.9 billion, a year-on-year increase of 19% and flat quarter-on-quarter [3][15] - Semiconductor revenue is projected to be $8.4 billion, with AI revenue expected to reach $4.4 billion, a 44% year-on-year increase [3][15] - Infrastructure software revenue is anticipated to be around $6.5 billion, a 23% year-on-year increase [3][15] Group 5: Market Opportunities - By 2027, the addressable market for three hyperscale customers is expected to reach $60-90 billion, with four new customers currently in the pipeline [3][7] - The company is focusing on developing the first 2nm AI XPU and has doubled the capacity of existing Tomahawk 5 switches to support AI customers [7][27] - The trend towards AI is driving significant investments in hardware and infrastructure, with companies increasingly recognizing the need to run AI workloads on-premises [19][28]
Broadcom(AVGO) - 2025 Q1 - Earnings Call Transcript
2025-03-07 00:58
Financial Data and Key Metrics Changes - Total revenue for Q1 fiscal year 2025 was a record $14.9 billion, up 25% year on year [6][25] - Consolidated adjusted EBITDA reached a record $10.1 billion, up 41% year on year [6][25] - Gross margin was 79.1% of revenue, better than guidance due to higher infrastructure software revenue and a favorable semiconductor revenue mix [26] Business Line Data and Key Metrics Changes - Semiconductor revenue was $8.2 billion, representing 55% of total revenue, up 11% year on year [27] - AI revenue within the semiconductor segment was $4.1 billion, up 77% year on year, with expectations for Q2 AI revenue to grow to $4.4 billion, up 44% year on year [6][15] - Infrastructure software revenue was $6.7 billion, up 47% year on year, driven by VMware integration and a shift to subscription models [19][21] Market Data and Key Metrics Changes - Non-AI semiconductor revenue was $4.1 billion, down 9% sequentially due to seasonal declines in wireless [15] - Broadband showed a double-digit sequential recovery, while server storage was down single digits but expected to rise in Q2 [16] - Enterprise networking remained flat as customers worked through inventory, with wireless expected to remain flat year on year [17] Company Strategy and Development Direction - The company is increasing R&D investment in AI technologies, focusing on next-generation accelerators and scaling clusters for hyperscale customers [7][10] - Broadcom aims to capture a serviceable addressable market (SAM) of $60 to $90 billion by fiscal 2027 from three key hyperscale customers [10] - The strategy includes transitioning from perpetual licenses to full subscription models in software, with a focus on VMware's Virtual Cloud Foundation (VCF) [20][21] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the AI market, noting strong demand from hyperscalers and ongoing investments in AI infrastructure [62][63] - Concerns about geopolitical tensions and tariffs were acknowledged, but management indicated no immediate impact on current design wins or shipments [61][85] - The company expects continued growth in AI revenue and a steady ramp in deployment of XPUs and networking products [15][51] Other Important Information - Free cash flow for the quarter was $6 billion, representing 40% of revenue [31] - The company ended the quarter with $9.3 billion in cash and $68.8 billion in gross principal debt, having reduced debt by a net $1.1 billion [33] - Capital expenditures for the quarter were $100 million, with $2.8 billion paid in cash dividends to shareholders [31][34] Q&A Session Summary Question: Can you discuss the trend with new customers and the custom silicon trend? - Management noted that four new partners are engaged in developing custom accelerators, but these are not yet defined as customers until they deploy at scale [40][42] Question: Can you provide insights on the second half AI profile? - Management refrained from speculating but indicated that improved networking shipments and pull-ins of shipments are encouraging for Q2 [51][55] Question: Are there concerns about new regulations impacting design wins? - Management expressed no concerns regarding current design wins or shipments despite geopolitical tensions [85][86] Question: How does the company view design wins and deployments? - Management emphasized that design wins are only considered valid when products are produced and deployed at scale, focusing on large volume customers [78][80] Question: What is the impact of AI workloads on data center architecture? - Management noted that enterprises are increasingly considering on-prem solutions for AI workloads, driving upgrades to their data centers [70][71] Question: How does the company view the importance of networking in AI deployments? - Management highlighted that performance is the primary driver for hyperscalers when selecting networking solutions, with Broadcom's proven technology providing a competitive advantage [98][100]