Velaura AI

Velaura AI, Inc. (formerly Auradine) is a leader in ultra-low power compute solutions for data center, edge, and physical AI applications.

[Velaura AI @Velaura_AI]

At @Velaura_AI, we’re looking for engineers and technical leaders ready to take on the challenges of power efficiency, AI performance, real-time responsiveness, and functional safety.

For @Velaura_AI’s Chief Development Officer, Manu Gulati, taking on these challenges starts with building the right team.

Explore open roles and join us: https://t.co/wUPNqqH5D9

[Velaura AI @Velaura_AI]

Thank you to @Nasdaq for recognizing @Velaura_AI's $110M Series A and celebrating this milestone on the @Nasdaq Tower.

The financing reflects continued conviction in Velaura’s technology, team, and vision to advance ultra low power compute for data center and Physical AI applications.

We’re grateful to our investors, partners, and team for the continued support behind this milestone.

[Velaura AI @Velaura_AI]

In his interview with Gemma Allen from @theCUBE x @NYSEWired, @Velaura_AI co-founder and president Sanjay Gupta highlighted how Velaura is approaching Physical AI with ultra-low-power silicon and software designed for the constraints of real-world systems.

As AI moves into the physical world, robots, drones, and other autonomous systems require a new approach to compute. Power, thermals, and real-time responsiveness become increasingly important as these systems operate in dynamic environments with more intelligence running directly on-device.

Watch Sanjay's full interview here: https://t.co/TWW0mKope7

Thank you again to @GemmaAllenSays, @bjbaumann2014, @furrier, @NYSEWired, and @SiliconANGLE & @theCUBE for the conversation.

[Velaura AI @Velaura_AI]

Our $110M Series A financing and valuation exceeding $1B are being celebrated by @NYSE.

This milestone reflects conviction in @Velaura_AI's technology and team as we advance ultra-low-power compute across hyperscale data centers and Physical AI.

We’re proud to be working alongside the investors, partners, and supporters helping us build on this momentum.

Thank you to the @NYSE team.

[Velaura AI @Velaura_AI]

Check out @Velaura_AI featured in the ‘New Money’ section of the @WSJ Pro for our $110M Series A financing and $1B+ valuation.

Beyond mention of our new unicorn valuation, the piece makes note of our ultra-low-power silicon and software technologies for AI data center and physical AI applications.

Read the full newsletter here: https://t.co/857fI95Qnn

[Velaura AI @Velaura_AI]

Sanjay Gupta, @Velaura_AI's President of Strategy & GTM, is joining @NYSEWired's AI Factory Series live from the New York Stock Exchange today.

He’ll sit down with @furrier of @SiliconANGLE & @theCUBE and @bjbaumann2014 of @NYSEWired to talk about where AI compute is headed, the rise of Physical AI, and why ultra-low-power technology is becoming increasingly important as data centers and silicon evolve for the AI era.

Tune in live at 8:30 AM PT / 11:30 AM ET and follow @NYSEWired for more.

#NYSEWired #theCUBE #SiliconANGLE #VelauraAI

[Velaura AI @Velaura_AI]

Did you see @velaura_ai during your Bay Area commute down US-101? If not, now’s your chance.

Most billboards on 101 promote bigger AI promises, but ours is doing something different. While other billboards scream for more, we’re advocating for less: less power, that is.

Velaura AI is advancing ultra low power technology to improve performance per watt across AI data centers and power constrained physical AI applications.

If you're driving through the Bay Area on US-101, look up (safely) and find the @velaura_ai billboard for a limited time!

#NYSE #VelauraAI #Funding

[Velaura AI @Velaura_AI]

We’re proud to have the @NYSE recognize this milestone for @velaura_ai following our $110M Series A financing at a valuation exceeding $1B.

Thank you to the @NYSE team and to everyone who has been part of the journey so far.

We’re just getting started.

#NYSEWired #VelauraAI #Funding

[Velaura AI @Velaura_AI]

Today’s @Reuters exclusive takes a closer look at what we’re building at Velaura and why compute economics will define the next phase of AI.

@velaura_ai AI CEO Rajiv Khemani spoke with Reuters about our engagements with three of the four largest cloud providers, our business model, and the opportunity to reduce the power and cost of AI infrastructure.

Read Reuters' full exclusive: https://t.co/VDAXAX6gnY

[Velaura AI @Velaura_AI]

Read the full press release and learn more about Velaura AI’s vision for ultra-low-power AI compute infrastructure here: https://t.co/aYADhrg46k

[Velaura AI @Velaura_AI]

Velaura AI is proud to announce our $110M Series A financing and valuation exceeding $1B.

@velaura_ai is addressing two of the biggest growth opportunities emerging from the AI megatrend: ultra-low-power compute and Physical AI.

The round reflects investor conviction in a proven technology foundation, multiple hyperscaler engagements, an experienced leadership team, and a vision for AI compute spanning data centers and Physical AI.

Read the full press release in the comments.

We are excited to partner with new investors Umesh Padval from Seligman Ventures, Dipender Saluja from Capricorn Investment Group, and Abhishek Shukla from Prosperity7 Ventures.

Thanks also to existing investors and long-time supporters including Mayfield, @MARA, @CelestaCapital, @MaverickSilicon, @PremjiInvest, @SamsungCatalyst, @stepstonegroup, and @PatrickMoorhead.

#AI #AIInfrastructure #PhysicalAI #Semiconductors

[Velaura AI @Velaura_AI]

Myth: AI data center power demand is determined by compute power alone.

Reality: Total power demand extends beyond the XPU load to the cooling, power delivery and supporting infrastructure needed to support high-density AI compute.

@velaura_ai's Titan Core™ solution is designed to significantly lower chip-level power consumption, which in turn reduces heat generation and cooling requirements.

The result: less infrastructure overhead and more compute within the same power envelope.

[Velaura AI @Velaura_AI]

We're delighted to welcome ChinniKrishna Kothapalli as Principal NPU Architect at @velaura_ai.

ChinniKrishna brings more than a decade of experience spanning AI hardware architecture, deep learning acceleration, performance modeling, and SoC development.

He joins us from @nvidia, where he was a Senior Architect working on HW/SW co-design of next-generation GPU architectures for AI workloads. Before that, he helped shape training hardware at @Microsoft, and at @intel contributed to the architecture of the Nervana Neural Network Processor and designed FPGA-based IP for deep learning inference.

ChinniKrishna's expertise at the intersection of machine learning, system architecture, and silicon design will be invaluable as we continue developing next-generation technology for cloud, edge, and Physical AI.

Please join us in welcoming ChinniKrishna to @velaura_ai.

[Velaura AI @Velaura_AI]

Physical AI is where technology is headed, with firms like @PwC projecting the global market will reach nearly $500 billion by 2030.

Reaching that market moment will require more than advances in computing performance. The real catalyst for industry growth will be purpose-built architectures designed for the unique demands of Physical AI.

Applications like drones and robotics need optimized, power-efficient architectures to process large data sets and real-world environments at the edge, enabling them to act autonomously in real time.

Check out @PwC's report for more on the physical AI market:https://t.co/BfCq7rrqp8

[Velaura AI @Velaura_AI]

Gartner projects that data center electricity consumption will grow 26% in 2026.

As demand for AI compute grows across hyperscale data centers and Physical AI systems, power is becoming one of the industry's most pressing infrastructure challenges.

Achieving greater power efficiency is central to unlocking AI’s full potential, while making it more economically and financially sustainable.

That’s why @velaura_ai is developing ultra-low-power silicon and software technologies to help power innovation at scale in emerging use cases like robotics, drones, and data centers.

For more insights on @Gartner_inc's report, head to: https://t.co/kkVFqeg3h0

[Velaura AI @Velaura_AI]

We’re pleased to welcome Mohamedsha Malikansari as Principal Engineer - Design Verification at @velaura_ai.

Mohamedsha brings more than 24 years of experience across CPU design, AI accelerators, memory controllers, on-chip interconnects, and server and mobile SoCs. Throughout his career at @intel, @nuvia_inc, and @Qualcomm, he has held technical and project leadership roles spanning architecture, RTL development, design verification, formal verification, gate-level simulation, and post-silicon debug.

Most recently, Mohamedsha served as a Verification Architect and Leader on @Qualcomm's CPU team, leading the development of verification transactors and infrastructure supporting multiple generations of Arm-based CPUs across mobile, compute, automotive, and server products.

He has successfully guided complex projects from initial microarchitecture definition and implementation through tapeout, post-silicon validation, and production release. His depth of experience will be critical as we continue building next-generation compute technology for cloud, edge, and Physical AI.

Please join us in welcoming Mohamedsha to @velaura_ai AI.

[Velaura AI @Velaura_AI]

Velaura AI is proud to share that our CEO & Founder, Rajiv Khemani, will be speaking at @Citi's 4th Annual Robotics & Physical AI Leadership Conference on July 7 in New York City.

We look forward to joining leaders across the robotics and Physical AI ecosystem to discuss how silicon innovation will shape the next generation of intelligent systems.

#CitiPhysicalAI

[Velaura AI @Velaura_AI]

We’re excited to welcome Derek Hower as our Performance Modeling Architect at @velaura_ai.

Derek brings extensive experience across performance modeling, processor architecture, microarchitecture research, and heterogeneous computing. He spent over 12 years at @Qualcomm, driving microarchitecture and performance modeling for advanced high-performance CPU designs. His contributions include advanced Quality of Service features, branch prediction, and cache prefetching. Derek was also the lead microarchitect for a custom out-of-order RISC-V processor.

Derek has also been an active contributor to open technical standards. Most recently, he has been a key contributor and leader of the RISC-V Instruction Set Architecture. He continues to contribute as Vice-Chair of the Attached Matrix Extension, a new and much-anticipated extension to the open standard that targets AI workloads.

Derek has also worked at @AMD, contributing to the early definition of memory models for general-purpose GPU computing, and at @intel, contributing to architecture extensions for virtualization. He also designed and taught graduate-level courses at @DukeU as an Adjunct Assistant Professor.

His background across performance modeling, processor architecture, and advanced processor research will be a strong asset as Velaura AI continues to build high-performance compute solutions.

Please join us in welcoming Derek to @velaura_ai.

[Velaura AI @Velaura_AI]

At @deeptechweek, Velaura AI CEO Rajiv Khemani shared how the company is tackling silicon-level tradeoffs to make AI compute more power efficient, from hyperscale infrastructure to physical AI.

Thanks to @CelestaCapital for hosting the discussion.