Cadence Design

📢 𝗝𝗨𝗦𝗧 𝗜𝗡: $Cadence Design(CDNS.US) CADENCE Launches AI Agent for Automated RTL Generation and Chip Design Optimization

👉 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

➤ 𝗖𝗮𝗱𝗲𝗻𝗰𝗲 launches new 𝗥𝗧𝗟 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗴𝗲𝗻𝘁 for ChipStack AI.

➤ Agent converts natural-language specifications into 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗥𝗧𝗟.

➤ Early evaluations delivered an average 𝟮𝟰% area reduction.

➤ Testing also produced an average 𝟭𝟴% power reduction.

➤ Cadence reported 𝟭𝟬𝟬% functionally accurate RTL in early evaluations.

➤ Agent optimizes chip designs across 𝗽𝗼𝘄𝗲𝗿, 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, and 𝗮𝗿𝗲𝗮.

➤ New upgrade flow automatically adapts existing RTL to changing requirements.

➤ 𝗛𝗼𝗻𝗱𝗮 𝗥&𝗗 is evaluating the technology for advanced automotive SoCs.

➤ Launch expands Cadence's agentic AI capabilities across 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗰𝗵𝗶𝗽 𝗱𝗲𝘀𝗶𝗴𝗻.

👉 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

➤ Could reduce manual work and shorten 𝗦𝗼𝗖 development cycles.

➤ Early results indicate potential improvements in 𝗰𝗵𝗶𝗽 𝗽𝗼𝘄𝗲𝗿 and area efficiency.

➤ Honda's evaluation provides early validation in 𝘀𝗮𝗳𝗲𝘁𝘆-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 automotive chip development.

➤ Extends agentic AI deeper into complex 𝘀𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗱𝗲𝘀𝗶𝗴𝗻 workflows.

👉 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀:

𝗖𝗵𝗶𝗻-𝗖𝗵𝗶 𝗧𝗲𝗻𝗴, Senior Vice President and General Manager, Digital & Signoff Group at Cadence:

“These latest agentic AI advancements take us from AI-assisted tools to coordinated agentic workflows that behave more like virtual design engineers with expert-level command of the underlying technologies,” said Chin-Chi Teng, senior vice president and general manager in the Digital & Signoff Group at Cadence. “By pairing agentic automation of spec-to-RTL and RTL refinement with our proven implementation and signoff engines, we enable customers to achieve better design outcomes with higher productivity and stronger correlation across the design flow, further extending Cadence’s leadership in AI-driven, end-to-end chip design.”

𝗧𝗼𝗺𝗼𝘆𝗮 𝗡𝗶𝘀𝗵𝗶𝗻𝗼, Chief Engineer and General Manager, Digital Engine Development Division, SDV R&D Center, Honda R&D Co., Ltd.:

“As a key enabler of Software-Defined Vehicles (SDVs), AI technology for autonomous driving is advancing rapidly. However, the long development cycle of SoCs remains a major challenge. With the Cadence ChipStack AI Super Agent’s RTL Generation Agent and AI-powered automation, Honda R&D is working to improve productivity from specification through RTL development,” said Tomoya Nishino, chief engineer and general manager, Digital Engine Development Division, SDV R&D Center, Honda R&D Co., Ltd.

📢 Companies Reporting Earnings Next Week

$Amkor Tech(AMKR.US) $Applied Digital(APLD.US) $Celestica(CLS.US) $Navitas Semiconductor(NVTS.US) $Cadence Design(CDNS.US) $Boeing(BA.US) $Paypal(PYPL.US) $Visa(V.US) $KLA(KLAC.US) $Bloom Energy(BE.US) $Teradyne(TER.US) $Ford Motor(F.US) $NXP Semiconductors(NXPI.US) $Seagate Tech(STX.US) $Enphase Energy(ENPH.US) $GE HealthCare Tech(GEHC.US) $SoFi Tech(SOFI.US) $L3Harris Tech(LHX.US) $Visa(V.US)RT $Lemonade(LMND.US) $Amphenol(APH.US) $Arm(ARM.US) $Robinhood(HOOD.US) $Qualcomm(QCOM.US) $Microsoft(MSFT.US) $Lam Research(LRCX.US) $Carvana(CVNA.US) $Meta Platforms(META.US) $Ford Motor(F.US)TNT $Allegro Microsystems(ALGM.US) $Altria(MO.US) $Check Point Software(CHKP.US) $Mastercard(MA.US) $Strategy(MSTR.US) $Reddit(RDDT.US) $Rivian Automotive(RIVN.US) $Amazon(AMZN.US) $Coinbase(COIN.US) $Illumina(ILMN.US) $RBXL $Apple(AAPL.US) $Tempus AI(TEM.US) $ExxonMobil(XOM.US) $Moderna(MRNA.US) $Eaton(ETN.US)

BofA: Kimi 3

The Kimi K3 Release & The Compute Race

> New Chinese Open-Weight Model: Moonshot has unveiled Kimi K3, a massive 2.8-trillion-parameter Mixture of Experts (MoE) model with a 1-million-token context window.

> U.S. Labs Pressured to Scale: With Chinese open-weight models closing the gap and media reports suggesting Google’s Gemini 3.5 Pro is months behind schedule, U.S. frontier labs (OpenAI, Anthropic, Google) must increase compute. They will need larger training runs, heavier reinforcement learning (RL), synthetic-data loops, and faster release cadences to stay ahead.

> Business Over Leaderboards: Investors are cautioned not to confuse benchmark leadership with sustainable business models. The durable moat in enterprise AI is delivering accurate, low-latency, and high-uptime AI at the lowest cost.

Bullish Outlook for AI Semiconductors

> MoE Architectures Boost Hardware Demand: The shift toward Mixture of Experts (MoE) architectures highlights the critical importance of memory movement, routing, latency, and interconnects.

> NVIDIA's Next-Gen Efficiency: NVIDIA's GB300 NVL72 provides up to a 25x performance-per-watt improvement over Hopper when serving leading open MoE models.

> Expanding Silicon Demand: Open models are inherently bullish for semiconductors. Even as model value commoditizes, the infrastructure demands for GPUs, High-Bandwidth Memory (HBM), networking, and efficient inference will continue to expand.

> EDA Resilience: BofA remains constructive on Electronic Design Automation (EDA) players like Cadence (CDNS) and Synopsys (SNPS). Despite mentions of "open-source EDA at 45nm" in Kimi K3, commercial EDA tools remain entirely mandatory for major foundries like TSMC to manufacture advanced chips.

Surging Token Usage & Enterprise AI Adoption

> Chinese Labs Leading Token Volume: Data from OpenRouter shows that weekly token usage is proliferating rapidly, with daily token usage on Chinese AI models now exceeding that of Western AI labs.

> US Enterprise Adoption Rates: According to the Ramp AI Index, approximately 55% of US businesses now have paid subscriptions to AI tools (significantly higher than the US Census estimate of 21%).

> Market Share & Spending: Anthropic leads enterprise model adoption at 42.4%, closely followed by OpenAI at 39.5%. While the median monthly AI spend per employee is just $11, the top 1% of enterprise spenders are averaging a massive $4,833 per employee monthly.

$Cadence Design(CDNS.US) $NVIDIA(NVDA.US) $Alphabet(GOOGL.US) $Synopsys(SNPS.US)

📢 𝐉𝐔𝐒𝐓 𝐈𝐍: Rapidus and $Cadence Design(CDNS.US) Cadence Partner to Accelerate AI-Driven SoC Design

👉 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

➤ 𝐑𝐚𝐩𝐢𝐝𝐮𝐬 and 𝐂𝐚𝐝𝐞𝐧𝐜𝐞 partner on 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 for advanced-node SoC design.

➤ Cadence 𝐈𝐧𝐧𝐨𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐒𝐮𝐩𝐞𝐫 𝐀𝐠𝐞𝐧𝐭 integrates with Rapidus' 𝐑𝐚𝐚𝐝𝐬 platform.

➤ Collaboration targets up to 𝐚 𝟐𝐗 improvement in design turnaround time.

➤ AI platform automates SoC workflows from architecture through signoff.

➤ Rapidus launches 𝐑𝐚𝐚𝐝𝐬 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐨𝐫 and 𝐑𝐚𝐚𝐝𝐬 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫.

➤ Integration aims to improve 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲, design quality, and predictability.

➤ Collaboration supports 𝐀𝐈-𝐧𝐚𝐭𝐢𝐯𝐞 semiconductor design and manufacturing.

➤ Companies will showcase the partnership at 𝐂𝐚𝐝𝐞𝐧𝐜𝐞𝐋𝐈𝐕𝐄 𝐉𝐚𝐩𝐚𝐧 𝟐𝟎𝟐𝟔.

👉 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬:

𝐀𝐧𝐢𝐫𝐮𝐝𝐡 𝐃𝐞𝐯𝐠𝐚𝐧, President and CEO of Cadence:

“Advanced-node SoC design increasingly requires AI agents that can orchestrate complex workflows across the design lifecycle, not just optimize individual tasks. By combining Cadence’s InnoStack AI Super Agent with Rapidus’ Raads platform, we are extending agentic AI into a leading-edge semiconductor ecosystem, enabling customers to improve productivity, accelerate design closure and bring more advanced silicon to market faster.”

𝐃𝐫. 𝐀𝐭𝐬𝐮𝐲𝐨𝐬𝐡𝐢 𝐊𝐨𝐢𝐤𝐞, Representative Director and CEO of Rapidus:

“At its completion, our Innovative Integration for Manufacturing facility will be the most advanced, AI-native foundry where AI is incorporated at almost every stage of semiconductor manufacturing. By evolving Raads and integrating it with Cadence’s InnoStack AI Super Agent, we are strengthening our AI-agentic design environment to help customers manage increasing SoC complexity, improve engineering productivity and realize the full value of Rapidus’ advanced process technologies. In working closely with Cadence on InnoStack and additional Cadence AI Super Agent solutions, we see a clear path to significantly reducing design turnaround time and enabling faster innovation on Rapidus’ advanced nodes.”

$Cadence Design(CDNS.US) | Stifel maintains 𝐁𝐮𝐲 on 𝐂𝐚𝐝𝐞𝐧𝐜𝐞 𝐃𝐞𝐬𝐢𝐠𝐧𝐬, 𝐫𝐚𝐢𝐬𝐞𝐬 𝐏𝐓 𝐭𝐨 $𝟒𝟑𝟐 𝐟𝐫𝐨𝐦 $𝟑𝟗𝟓

Analyst sees the expanded $Intel(INTC.US) Intel Foundry collaboration as a significant positive, validating Cadence's AI tools and expanding its footprint at a key customer.

📢 𝐉𝐔𝐒𝐓 𝐈𝐍: Cadence and Intel Foundry Expand Multi-Year DTCO Collaboration - $Cadence Design(CDNS.US) $Intel(INTC.US)

👉 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

➤ Cadence and Intel Foundry expand partnership for next-generation 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬.

➤ Collaboration begins with Intel’s upcoming 𝐈𝐧𝐭𝐞𝐥 𝟏𝟒𝐀 node.

➤ Partnership combines Cadence’s 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐄𝐃𝐀 and Design IP with Intel process innovation.

➤ DTCO efforts target improved 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐩𝐨𝐰𝐞𝐫, and 𝐚𝐫𝐞𝐚 (PPA).

➤ Companies will co-develop 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 PDKs for Intel 14A.

➤ Agentic AI design flows aim to accelerate 𝐭𝐢𝐦𝐞-𝐭𝐨-𝐦𝐚𝐫𝐤𝐞𝐭 and reduce design risk.

➤ Expanded alliance strengthens Intel Foundry’s 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 and customer offerings.

💬 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭:

“Advancing our relationship with Intel into a much deeper partnership is a major milestone for both companies,” said Anirudh Devgan, president and chief executive officer, Cadence.

“This collaboration will leverage the strengths of both companies to empower customers to unlock new levels of performance, power, and efficiency, advance the state of the art and accelerate the realization of next-generation products.”

“Our expanded collaboration with Cadence reflects Intel Foundry’s continued focus on delivering on its technology roadmap and ecosystem on behalf of our customers,” said Naga Chandrasekaran, executive vice president and general manager of Intel Foundry.

“By combining Intel’s process and packaging with Cadence’s AI-driven design tools, we are enabling deeper co-optimization, strengthening our ability to deliver on customers’ needs, and showcasing the ability of both companies to drive innovation at scale.”

$Cadence Design(CDNS.US) is one of the cleanest breakouts you can see. A picture perfect test of 21d EMA and an immediate support from the bulls.

The reason I am posting is not because of the first chart but the mighty 2nd one, weekly base.

PT's: 420 & 500.

All of the largest Trump trades from Q1 and their returns visualized

🧠

“Robotics may be the biggest product category of all time” - $Cadence Design(CDNS.US) CEO.

“The projection is $25 trillion. The whole GDP of the world is $110 trillion. So this is huge if this happens.”

Extremely bullish on robotics/humanoids directionally.

But maybe it’s time for $Tesla(TSLA.US) and America to really start prioritizing how we build it outside Chinese supply chains?

Source: Serenity