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PsiQuantum Hits $7B Valuation, Secures $1B Funding and Partners with Nvidia

Quantum computing startup PsiQuantum announced Wednesday it has raised $1 billion in a Series E funding round, boosting its valuation to $7 billion, while also unveiling a collaboration with Nvidia to accelerate its quantum computing development.

Funding Details

  • Round size: $1 billion (Series E)

  • Valuation: $7 billion

  • Lead investors: BlackRock, Temasek, Baillie Gifford

  • New investors: Nvidia’s NVentures, Macquarie Capital, Ribbit Capital

Expansion Plans

The funding will support:

  • New sites in Brisbane, Australia and Chicago, Illinois

  • Deployment of large test systems to validate PsiQuantum’s design

Technology Edge

  • Photonic approach: Uses light particles on silicon chips

  • Built on semiconductor manufacturing and fiber-optic networking for scalability

  • Goal: Build the first million-qubit, fault-tolerant quantum computer

Nvidia Collaboration

  • Nvidia chips will help connect classical and quantum machines

  • Integration to improve PsiQuantum’s silicon-photonics quantum chips

  • Aimed at advancing software and hardware ecosystems for practical quantum applications

Applications of Quantum Computing

  • Drug discovery

  • Materials science

  • Cybersecurity breakthroughs

  • Potential to solve problems beyond the reach of AI and today’s supercomputers

Partnerships & Manufacturing

  • PsiQuantum has partnered with GlobalFoundries to fabricate its chips at the foundry’s New York facility.

Outlook

With Nvidia’s backing and $1B in fresh capital, PsiQuantum is positioning itself as a frontrunner in the global quantum race, moving closer to proving its designs and delivering scalable, commercial quantum computers.

Synopsys Misses Q3 Revenue Estimates, Shares Plunge 18%

Chip design software provider Synopsys (SNPS.O) reported third-quarter revenue that fell short of Wall Street expectations, dragged down by weakness in its Design IP business, sending its stock down nearly 18.5% after hours.

Results and Outlook

  • Q3 Revenue: $1.74 billion vs. $1.77 billion expected (LSEG data)

  • Adjusted EPS: $3.39 vs. $3.74 expected

  • Q4 Guidance: $2.23–$2.26 billion revenue (above $2.09 billion consensus)

Key Pressures

  • Design IP Weakness: Includes interface, security, and embedded processor IP, plus implementation services.

  • Deal Fallout: Several deals failed to close due to:

    • U.S. export restrictions on China disrupting design starts

    • A major foundry customer canceling projects amid market and client-related challenges

  • CEO Sassine Ghazi: Said Synopsys had invested heavily in building IP for the foundry, but returns expected in 2H 2025 will now not materialize.

Strategic Moves

  • Ansys Acquisition: Completed $35B cash-and-stock purchase of engineering design firm Ansys in July after global antitrust reviews, including conditional approval in China.

  • Customer Base: Partners include Nvidia, Intel, and Qualcomm, among others.

Market Context

  • Rival Cadence Design Systems (CDNS.O): Raised its 2025 sales and profit forecast in July, highlighting diverging performance in the EDA software sector.

  • Synopsys’ miss underscores ongoing geopolitical risks and dependence on key customers in a competitive industry where regulatory headwinds are reshaping chip design markets.

Nvidia Unveils “Rubin CPX” AI Chips for Video and Software Generation

Nvidia (NVDA.O) announced plans to launch a new AI chip, dubbed Rubin CPX, by the end of next year, targeting highly complex workloads such as video generation and AI-assisted software coding. The chip will be built on Nvidia’s upcoming Rubin architecture, the successor to its current Blackwell technology.

Why It Matters

  • AI systems are rapidly evolving, with tasks like video generation and “vibe coding” (AI-assisted software creation) pushing hardware to new limits.

  • Processing one hour of video can require up to 1 million tokens, a massive challenge for current GPUs.

  • Rubin CPX will integrate video decoding, encoding, and inference into a single system, making processing faster and more efficient.

Economic Angle

  • Nvidia estimates a $100 million investment in Rubin CPX systems could generate $5 billion in token revenue.

  • Wall Street is closely watching the ability of AI hardware firms to turn capital spending into measurable returns.

Market Impact

  • Nvidia already dominates the AI chip market, with its high-end processors fueling the latest wave of generative AI.

  • The company’s move reflects both its defensive strategy against rivals and its offensive push to expand AI capabilities beyond text and images into full-scale video and software generation.

The Bigger Picture

  • Nvidia’s rise has made it the world’s most valuable company, but competition in AI infrastructure is intensifying.

  • With Rubin CPX, Nvidia is betting that integrated, video-ready AI chips will anchor the next phase of AI growth — and cement its lead in the sector.