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AI compute provider Nscale is looking for $3.5B in pre-IPO financing
British AI compute provider Nscale seeks $3.5B pre-IPO via $1.5B convertible notes and $2B from Nvidia ahead of a possible September IPO.
Nscale, a British AI infrastructure company founded about two years ago, is reportedly in talks to raise $3.5 billion ahead of an IPO that could come as early as late September 2026: $1.5 billion in convertible notes plus $2 billion in financing from Nvidia. Nvidia previously joined Nscale's $1.1 billion Series B in March, led by Aker and billed as the largest Series B in European history, following a $155 million Series A in December 2024. Nscale recently signed an approximately $45 billion deal with Anthropic and has told investors it has roughly $103 billion in projected revenue based on signed customer leases.
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Why Scaling AI Compute Performance Requires a New Power Architecture
NVIDIA argues AI factories need 800 VDC power distribution as dense GPU racks outgrow traditional AC-based delivery.
NVIDIA's blog contends each generation of accelerated computing demands higher rack density and more efficient, scalable power distribution. It frames the bottleneck as how power moves from the grid to the GPU rather than raw wattage, and describes limitations of traditional AC power delivery. NVIDIA advocates a new 800 VDC power architecture for AI factories.
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NVIDIA AI Factory Compute Is Becoming an Investable Asset Class
NVIDIA partners with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize over $500 billion of third-party capital for AI infrastructure financing.
NVIDIA announced partnerships with major financial firms including Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The independent financing platforms are designed to mobilize more than $500 billion of third-party capital to support AI infrastructure buildout. NVIDIA frames the move as positioning AI factory compute as an investable asset class.
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NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces
Researchers characterize NERVE, five attack dimensions against AI-powered brain-computer interfaces, and release the EEGle framework uncovering 17 attack instances.
NERVE is a systematic attack class spanning the BCI stack across five orthogonal dimensions: Neuro-mimetic Forgery, Evasion via Desynchronization, Replay-based Hijacking, Vein Tapping, and Embedded Backdoors. The accompanying EEGle framework enables AI-assisted, extensible BCI security analysis and helped uncover 17 novel neuro-specific attack instances, revealing a stealth-effectiveness spectrum unique to BCI backdoor design. The authors show generative AI lowers the barrier to entry for non-expert attackers and release EEGle to the community.
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Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies
NVIDIA details a three-computer robotaxi platform that Uber, Lyft, May Mobility, Mercedes-Benz and others are adopting to scale autonomous fleets.
NVIDIA says every major commercial robotaxi program runs on its stack, spanning training (DGX with Alpamayo VLA models), simulation and validation (Omniverse, Cosmos, AlpaSim on RTX PRO), and in-vehicle compute (DRIVE Hyperion 10 with dual DRIVE AGX Thor chips). Adding meta-action and chain-of-thought reasoning data to a VLA model reduced minimum average displacement error by 43%, from 2.08 to 1.18. Uber plans NVIDIA DRIVE Hyperion-based fleets across 28 cities by 2028, partnering with Autobrains, Avride, Lucid, May Mobility, Mercedes-Benz, Momenta, Nissan, Nuro, Pony.ai, Stellantis, Waabi, Wayve, WeRide and Zoox. DRIVE Hyperion 10 combines 14 cameras, nine radars, three lidars and 12 ultrasonics with redundant compute and NVIDIA Halos safety validation.
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U.S. CISA adds a Ray-Project Ray flaw to its Known Exploited Vulnerabilities catalog
CISA added actively exploited Ray RCE flaw CVE-2025-62593 (CVSS 9.4) to its KEV catalog, ordering federal agencies to patch by August 20, 2026.
CISA added CVE-2025-62593 (CVSS 9.4), a critical remote code execution flaw in the Ray AI compute engine, to its Known Exploited Vulnerabilities catalog with a due date of August 20, 2026. Versions before 2.52.0 relied on a User-Agent header check to guard the dashboard/API, which combined with DNS rebinding allows arbitrary code execution on developers' machines via malicious websites or ads. Aviatrix's analysis describes privilege escalation, lateral movement, command and control, and data exfiltration following exploitation. Federal civilian agencies must remediate under BOD 22-01; the flaw affects Firefox and Safari.
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