Financial Data and Key Metrics Changes - Revenue for Q2 2025 was $4.8 million, representing a 43% increase year-over-year and a 41% increase compared to Q1 2025 [7][40] - Gross margins for Q2 2025 were 67%, up from 65% in Q2 2024, while first half gross margins were 68.4% compared to 68.2% in 2024 [7][41] - Q2 EBITDA was negative DKK 19.6 million, an improvement from negative DKK 27.4 million in Q2 2024 [8][42] - Free cash flow in Q2 was negative DKK 21.2 million, an improvement of DKK 23.4 million compared to Q2 2024 [8][9] - Cash and cash equivalents at the end of Q2 2025 amounted to €133.4 million, compared to €103.2 million at the end of Q2 2024 [43] Business Line Data and Key Metrics Changes - The company reported significant progress in its capture business and design win goals, aiming to deliver 60,000 to 80,000 units annually at peak production [6][9] - The partnership with Intel Altera is driving growth in high-volume designs, particularly in AI and cloud services [10][12] Market Data and Key Metrics Changes - The demand for advanced network interface cards (NICs) is expected to grow significantly, with projections indicating a market size of nearly $11 billion in the next five years [20][21] - The mass market for advanced NICs is anticipated to approach $6 billion by 2029, driven by the need for AI, cloud, and mobile services [21][22] Company Strategy and Development Direction - The company is focused on transforming its business to become a leader in the mass market for network interface cards, leveraging partnerships and design wins to drive growth [6][10] - The strategy includes reducing net working capital through better inventory management and payment terms, anticipating a shift towards large volume orders [44] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about Q3 2025, expecting revenue to surpass both Q2 2025 and Q3 2024 [9] - The company is confident in its financial outlook, driven by increasing unit sales and high gross margins due to strong software components in its products [47] Other Important Information - The company successfully completed a private placement capital raise of NOK 210 million to finance growth opportunities [9] - Recent design wins include partnerships with dMatrix and Broadcom Symantec, focusing on AI infrastructure and cybersecurity solutions [12][35] Q&A Session Summary Question: Have you received first orders from myrtle.ai for Volo? - The product has been launched, and while orders have not yet been received, the company is prepared to fulfill them once they come in [51] Question: Can you quantify the expected revenue contribution from dMatrix in 2026? - Each data center could yield between 2,500 to 25,000 units, but exact predictions are challenging as the product is not yet ready [53][55] Question: What is the revenue potential of the first 5G core deployment? - The initial deployment will require a three-digit number of units, expected to be delivered primarily in Q4 and Q1 [56] Question: What are the key risks in scaling the dMatrix partnership? - The company is confident in its ability to deliver on time and does not foresee any significant bottlenecks at this stage [57][58] Question: How much of the expected volume in 2026 will come from traditional SmartNIC business versus dMatrix? - The guidance for 2026 includes around 5,000 to 6,000 units from existing business, with the remainder expected from dMatrix [61] Question: When do you expect to receive the first commercial production order from dMatrix? - Discussions regarding forecasts for 2026 will take place before the final product delivery in November this year [62]

Core Viewpoint - High-tech companies consistently develop roadmaps to mitigate risks associated with technology planning and adoption, especially in the semiconductor industry, where performance and capacity limitations can hinder business operations [1][2]. Group 1: Nvidia's Roadmap - Nvidia has established an extensive roadmap that includes GPU, CPU, and networking technologies, aimed at addressing the growing demands of AI training and inference [3][5]. - The roadmap indicates that the "Blackwell" B300 GPU will enhance memory capacity by 50% and increase FP4 performance to 150 petaflops, compared to previous models [7][11]. - The upcoming "Vera" CV100 Arm processor is expected to feature 88 custom Arm cores, doubling the NVLink C2C connection speed to 1.8 TB/s, enhancing overall system performance [8][12]. Group 2: Future Developments - The "Rubin" R100 GPU will offer 288 GB of HBM4 memory and a bandwidth increase of 62.5% to 13 TB/s, significantly improving performance for AI workloads [9][10]. - By 2027, the "Rubin Ultra" GPU is projected to achieve 100 petaflops of FP4 performance, with a memory capacity of 1 TB, indicating substantial advancements in processing power [14][15]. - The VR300 NVL576 system, set for release in 2027, is anticipated to deliver 21 times the performance of current systems, with a total bandwidth of 4.6 PB/s [17][18]. Group 3: Networking and Connectivity - The ConnectX-8 SmartNIC will operate at 800 Gb/s, doubling the speed of its predecessor, enhancing network capabilities for data-intensive applications [8]. - The NVSwitch 7 ports are expected to double bandwidth to 7.2 TB/s, facilitating faster data transfer between GPUs and CPUs [18]. Group 4: Market Implications - Nvidia's roadmap serves as a strategic tool to reassure customers and investors of its commitment to innovation and performance, especially as competitors develop their own AI accelerators [2][4]. - The increasing complexity of semiconductor manufacturing and the need for advanced networking solutions highlight the competitive landscape in the AI and high-performance computing sectors [1][4].