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d-Matrix to Use NVIDIA's NVLink Fusion Technology in AI Servers. September 11, 2026 AI chip startup d-Matrix will adopt NVIDIA's NVLink Fusion technology to integrate its artificial intelligence processors directly into NVIDIA's data-centre systems, as demand for computing infrastructure for AI inference continues to grow. The collaboration will allow d-Matrix's Raptor processors to connect with NVIDIA's larger data-centre systems and is expected to bring the companies' combined solutions to the market in 2027. The development comes as the AI infrastructure market increasingly focuses on inference, the process of running trained AI models to generate responses for users. While NVIDIA's graphics processing units have traditionally played a major role in AI model training, d-Matrix has built its technology around inference workloads. Its Raptor chips are designed for applications where fast response times and low latency are important. Under the collaboration, d-Matrix's Raptor chips will use NVIDIA's NVLink Fusion technology to connect directly with NVIDIA's data-centre systems. The technology includes specialised connectors and memory designed to allow custom AI processors to work within NVIDIA's server infrastructure. This gives chip companies such as d-Matrix a way to integrate their processors into larger NVIDIA-based systems rather than operating them as completely separate infrastructure. The combined systems are being targeted at AI applications where speed is particularly important. These include chatbots, coding assistants and voice agents, all of which require AI models to process and respond to user requests quickly. The move reflects the growing demand for specialised hardware capable of handling inference workloads efficiently as AI applications become more widely deployed. d-Matrix expects the final design stage of its Raptor chips to be completed by the end of 2026. The NVIDIA-compatible systems incorporating the processors are expected to become available in 2027. The companies have not disclosed the financial terms of their collaboration. The partnership also expands d-Matrix's work with other technology companies to develop the infrastructure required for its AI processors. The Santa Clara, California-based startup is working with connectivity company Astera Labs to develop customised high-speed data paths across the systems. The objective is to support fast movement of data between the different components of the AI infrastructure. The focus on inference reflects a broader shift in the AI computing market. As more AI models move from development and training into everyday applications, the infrastructure required to run those models for users is becoming increasingly important. AI services such as coding tools, conversational assistants and voice-based agents can require large amounts of computing capacity while also placing a premium on response times. d-Matrix has positioned itself around this inference market with specialised AI processors. The company shipped its first AI chip in November 2024 and has continued developing hardware aimed at running AI workloads. Its latest collaboration with NVIDIA gives its processors a path into NVIDIA's broader data-centre ecosystem through NVLink Fusion. The startup has also attracted backing from major technology investors. Microsoft has supported d-Matrix since the company's $110 million financing round in 2023. The startup was valued at $2 billion when it raised $450 million in 2025. These investments have supported its efforts to develop and commercialise specialised AI computing technology. For NVIDIA, the collaboration expands the potential use of its data-centre infrastructure by allowing custom AI chips to connect through NVLink Fusion. For d-Matrix, the technology provides an opportunity to place its inference-focused processors within NVIDIA-compatible server systems and target customers looking for specialised AI computing capabilities. The partnership comes as AI infrastructure companies increasingly explore specialised processors alongside conventional GPUs. While GPUs remain central to many AI workloads, inference requirements can differ from model-training workloads, creating opportunities for processors designed specifically around speed, efficiency and low-latency AI execution. With Raptor's final design expected by the end of 2026 and NVIDIA-compatible systems targeted for 2027, the collaboration represents a significant step in d-Matrix's effort to scale its inference technology. The company's work with NVIDIA and Astera Labs will focus on connecting specialised processors and high-speed data infrastructure to support the next generation of AI applications. - Advertisement -

d-Matrix and NVIDIA Plan NVLink Fusion Rack System for AI Inference. September 10, 2026 Press play to listen to this content SANTA CLARA, Calif., Sept. 10, 2026 - d-Matrix today announced a new collaboration with NVIDIA that includes a multi-year product roadmap, providing d-Matrix XPUs entry into the widely deployed NVIDIA AI factory ecosystem. The centerpiece of the collaboration is an NVLink Fusion enabled rack-level system that AI labs, hyperscalers, and neoclouds can seamlessly deploy for ultra-low latency premium-level token services. As an NVIDIA NVLink Fusion partner, d-Matrix will work closely with NVIDIA to incorporate d-Matrix's next-gen inference XPUs, starting with Raptor, directly into the latest NVIDIA rack reference architecture design featuring NVIDIA Vera CPUs, NVIDIA NVLink switches, NVIDIA BlueField-4 DPUs, NVIDIA ConnectX-9 SuperNICs, and NVIDIA Spectrum-X Ethernet networking. d-Matrix is also partnering with Astera Labs, a connectivity solution leader within the NVIDIA NVLink Fusion ecosystem, to deliver custom solutions to ensure high-throughput, seamless data flow throughout the system. The d-Matrix rack, enabled by the MGX platform, will feature modular cable-free trays built with NVIDIA's mature, proven MGX ecosystem and supply chain for fast and seamless deployments. NVLink Fusion gives d-Matrix a mature, high-bandwidth, low-latency scale-up foundation for connecting d-Matrix XPUs to NVIDIA rack-scale infrastructure. With NVLink Fusion and the MGX ecosystem, d-Matrix can build around the same rack architecture, networking and supply-chain used across the NVIDIA platform. The first engagement point in the collaboration will be d-Matrix Raptor XPUs plugging into the NVIDIA MGX rack resulting in higher performance, greater deployment flexibility for customers, and a scalable architecture for expanding Raptor-based inference clusters as demand grows. "This collaboration with NVIDIA is a defining moment on our journey to infinite inference, accessible to all," said Sid Sheth, founder and CEO at d-Matrix. "Being integrated into NVIDIA's latest MGX rack-scale infrastructure with NVLink Fusion means our customers can deploy our inference XPUs alongside the broadly available NVIDIA AI factory platform. That's the future d-Matrix has been building toward - ultra-low latency, energy-efficient inference XPUs and GPUs working together, at rack scale, to deliver premium AI experiences." "NVLink Fusion enables partners to integrate custom silicon with NVIDIA's deep ecosystem of NVLink, advanced packaging, rack-scale systems and networking technologies," said Jensen Huang, founder and CEO of NVIDIA. "With NVIDIA AI infrastructure deployed across cloud and on-premises data centers worldwide, NVLink Fusion gives partners like d-Matrix a path to integrate seamlessly with NVIDIA compute platforms - expanding accelerator choice for customers building the next generation of AI factories." "Purpose-built connectivity is what turns innovative compute into high-performing AI factories," said Jitendra Mohan, CEO of Astera Labs. "Our partnership with d-Matrix and NVIDIA brings this vision to life within the NVLink Fusion ecosystem, delivering high-throughput for low latency AI inference." The Rise of the Premium Token Economy As agentic AI workloads have spiked inference demand, AI service providers are increasingly seeking mixed-architecture systems to deliver inference economics their customers require. The d-Matrix MGX rack system is designed for latency-sensitive applications such as AI coding assistants, real-time chatbots, and voice agents where interactivity is paramount and customers are willing to pay a premium for speed. Built on NVIDIA's mature, proven MGX ecosystem and supply chain, the system extends a unified rack architecture that gives AI factories the flexibility to deploy the right compute for each workload. Using heterogeneous disaggregation, operators can split the workload between d-Matrix Raptor XPUs and NVIDIA Vera Rubin, allowing them to optimize each phase of inference. For one of today's most popular disaggregated applications, AI coding, GPUs can handle the compute-intensive prefill phase of a workload while d-Matrix inference XPUs speed up the latency-sensitive decode phase. Raptor: d-Matrix's Next-Gen Inference XPU A follow-on to the d-Matrix Corsair XPU platform currently in production, the d-Matrix Raptor platform extends d-Matrix's memory-centric architecture. Through a first-of-its-kind 3D DRAM stacking approach, Raptor brings a DRAM memory chip and an SRAM compute chip together to form a single "two-story" package. Technical details about the 3D DRAM technology were recently published by IEEE and previewed by d-Matrix co-founder and CTO Sudeep Bhoja at the 2026 Hot Chips conference. d-Matrix has designed Raptor, which is expected to tape-out before the end of the year, from the ground up for integration with NVIDIA NVLink Fusion and the NVIDIA MGX rack-scale ecosystem, reflecting d-Matrix's commitment to building purpose-built inference silicon that works seamlessly alongside the NVIDIA stack. Raptor is being actively evaluated at AI hyperscalers and frontier labs for its unique memory stacking solution and is backed by more than 100 patents. Availability Initial availability of d-Matrix Raptor XPUs integrated into the NVIDIA MGX rack is expected Q4 2027. To learn more, visit the d-Matrix booth at AI Infra Summit to see a demo or contact d-Matrix at www.d-matrix.ai/contact-sales. About d-Matrix d-Matrix is a leader in AI inference compute, delivering memory-centric compute chips, software and rack-scale systems for datacenters, making AI faster, more energy efficient, and more accessible. By bringing memory directly into compute, d-Matrix overcomes the cost, latency, and power limitations of traditional architectures - working independently or in partnership with GPUs and other compute platforms. Its multi-generation roadmap, from planar to 3D memory-compute substrates and rack-scale systems, is built to help hyperscalers, frontier labs, and AI clouds deploy advanced AI experiences at global scale. As demand for inference accelerates, d-Matrix is charting the path to infinite inference with no latency. For more information, visit www.d-matrix.ai. OpenAI says one of its AI systems has solved a math problem that has stumped... After more than two years in pilot mode, the National Science Foundation this week announced... Greg Kurtzer is biased. 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ALAB stock holds high ground as valuation stretches. BRYCE TUOHEY - UPDATED SEP. 4, 2026, 12:33 PM ET Astera Labs Inc. stocks have been trading up by 12.0 percent following bullish news on strengthened AI infrastructure partnerships. Key takeaways. * ALAB has bounced from a late-August dip, closing near $316, which keeps Astera Labs Inc. in a strong uptrend on the daily chart. * Recent intraday trading shows tight consolidation around $317-$319, signaling active price discovery after a sharp morning push. * Profitability at ALAB is robust, with gross margin above 75% and strong returns on equity and capital. * The balance sheet for ALAB is clean, with zero debt and a current ratio above 10, giving traders confidence in liquidity. * Valuation remains rich for ALAB, with a triple-digit P/E and price-to-sales near 40, demanding continued high growth. Live Update At 12:32:39 EDT: On Friday, September 04, 2026 Astera Labs Inc. stock [NASDAQ: ALAB] is trending up by 12.0%! Discover the key drivers behind this movement as well as its expert analysis in the detailed breakdown below. Quick financial overview. Astera Labs Inc., trading under ticker ALAB, is acting like a classic high-growth, high-expectation name. On the latest day, ALAB opened around $286 and ramped to a high near $321, closing at about $316. That's a big intraday range and a strong finish toward the high of the day, which usually tells traders that buyers are still in control. On the fundamentals side, ALAB booked roughly $392.4M in quarterly revenue and about $153.1M in net income, which is hefty profit for a company in growth mode. Gross margin sits around 75.1%, while EBIT margin is about 25.8%. Those are elite numbers. ALAB is converting a lot of each sales dollar into operating profit. The balance sheet looks even stronger. Astera Labs Inc. carries essentially no debt, a current ratio near 10.1, and working capital around $1.49B. Cash and short-term investments total more than $1.25B, giving ALAB a wide runway. The flip side: traders are paying up. ALAB trades at a P/E near 135.7 and price-to-sales close to 39.6. That kind of multiple only works if growth and margins stay hot. Why traders are watching ALAB price action. ALAB price action over the last few weeks reads like a textbook momentum play. Astera Labs Inc. ran to the mid-$340s on 2026/08/17, then pulled back into the high-$270s by the end of the month. Since then, ALAB has been grinding back, printing higher lows and reclaiming the $300 level, which many traders view as a psychological line in the sand. The latest daily candles show ALAB closing strong on multiple sessions: $303-$322-$321-$320 before the shakeout down to the $280s and rebound to $316+. That pattern says dip buyers are still stepping in every time ALAB flushes. For active trading, that's the kind of behavior you want to track - which levels trigger panic, and which levels bring in support. Intraday, ALAB showed classic morning volatility. After a gap up from the premarket $280s, Astera Labs Inc. surged through $300, then briefly sold off toward $305 before ripping to the $320s. By late morning and midday, the 5-minute chart settled into a tight band between $316 and $319. When a stock like ALAB runs hard early and then goes sideways on lighter swings, it often signals a battle between profit-taking and new money looking for continuation. Traders in the Tim Sykes community would watch ALAB's recent high near $321-$322 as a key area. A clean break and hold above that zone can trigger momentum chasers. Failure there, especially on heavy volume, can flip ALAB into a fade back toward support in the low $300s or high $280s. The chart is the roadmap. Conclusion. For short-term traders, ALAB is all about balancing powerful fundamentals with a stretched valuation. Astera Labs Inc. posts thick margins, strong free cash flow around $67.2M this quarter, and returns on equity above 25%. The company has over $1.25B in cash and short-term investments, zero long-term debt, and a current ratio north of 10. That kind of financial strength gives ALAB staying power even if the broader market wobbles. But the price you pay always matters. With ALAB trading at roughly 135x earnings and almost 40x sales, Astera Labs Inc. is priced for near-perfect execution. Any slowdown in revenue growth or margin compression can hit a name like ALAB harder than a more modestly valued peer. That's why traders are glued to the chart - it often hints at changing sentiment before the headlines do. In this type of name, risk management is everything. As millionaire penny stock trader and teacher Tim Sykes says, "It's not about how much money you make; it's about how much money you keep." Tim Sykes likes to say, "The market doesn't care about your opinion, only your risk management." ALAB is a strong company with a powerful balance sheet and momentum-driven chart, but it still trades like a high-beta growth stock. For educational and research-focused traders, the key lessons from ALAB are clear: map the levels, respect the volatility, and always, always cut losses fast. This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Its content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to Millionaire Media, LLC. for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize its news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities. Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles: Once you've got some stocks on watch, elevate your trading game with StocksToTrade the ultimate platform for traders. With specialized tools for swing and day trading, StocksToTrade will guide you through the market's twists and turns. Dig into StocksToTrade's watchlists here: Midnight runner alert: buy tonight, sell tomorrow. Most traders don't realize this... But the closing bell means jack $#!&. 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