About
Please email me directly: asingh@mayfield.com
My focus is on solving 50 primal…
My focus is on solving 50 primal…
Articles by Aditya
Activity
18K followers
-
Aditya Singh shared thisCongratulations Andrew Feldman. Very very proud.Aditya Singh shared thisAndrew Feldman is listed on TIME's list TIME100 AI of 2026. This annual list recognizes 100 individuals who best represent the year’s defining AI storylines and are having an outsized influence on where the field is going. When Andrew and the founding team started Cerebras, many people told them wafer-scale computing was impossible. For decades, it had been the holy grail of computing. Making it real required solving some of the hardest problems across silicon, systems, packaging, cooling, software, and manufacturing. That kind of innovation does not come from one breakthrough or one person. It takes fearless engineering, sustained conviction, and an extraordinary team willing to solve problems others believed could not be solved. Andrew’s recognition is a proud moment for Cerebras and for the entire team that has spent years turning an impossible idea into reality. Congratulations, Andrew, and thank you to TIME for the recognition. #TIME100AI
-
Aditya Singh reacted on thisAditya Singh reacted on thisI'm excited to welcome our new Partner, Aditya Singh, a successful inception and early-stage investor. Adit brings more than a decade of early-stage investing experience. He's been involved as an investor in many companies, including four that had IPOs – Cerebras, Heliogen, Energy Vault, and ForgeRock – and four that were acquired – Seraphic (CrowdStrike), Phantom Cyber (Splunk), Skycure (Symantec), and Respond (FireEye). During his operating career, he served as the first product manager at Enphase Energy, joining before its IPO and helping scale the business, and also held technical leadership roles at Cisco. He is a great fit for our People-First firm, a technical operator-turned-investor who backs founders from inception and helps them build companies. Adit will invest out of our early-stage venture fund, partnering with founders building foundational technologies across AI hardware and software infrastructure, cybersecurity, and physical AI. We look forward to seeing him help founders build the future of AI. Welcome to the team, Adit.
-
Aditya Singh shared thisFive years ago, Bobby Yazdani asked me to join Cota Capital. We had been on boards together, and I always liked the work he did. What I didn't know was what a class act of a partner he would be, or the fun that would ensue as we pursued new investments together and built something from the ground up. I have always loved betting on the net-new. Companies that ought to exist but don't. We did a bunch of these at Cota, and I can say that the best investment meetings boil down to this: pushing back to test the idea, not the person making the case. That kind of intellectual autonomy and camaraderie is what gives an investor the conviction to joyfully make unlikely bets. To the Cota team: I will cherish that forever. I am proud of the work we did together, the funds we raised, and even prouder of the founders we backed boldly. Vikram Venkat Murat Kilicoglu Chris Yazdani Pete Williams Faie Dorin Arif Farooqui Benjamin Malka Kevin Jacques Babak Poushanchi Gabi Schindler Tala Farhatnia To Bobby Yazdani: You have set the standard for intellectual partnership. I have enjoyed every single one of our jamming sessions where we pushed back on an idea until it could stand on its own two feet, regardless of who brought it to the table. You have always challenged my thinking to look at areas it didn't naturally flow to, but have shown unshaken trust in my final judgment in every investment. That is the greatest gift to any partner, and I will carry that forward with me forever. Thank you!
-
Aditya Singh reposted thisAditya Singh reposted thisThe fastest AI...just got faster. Introducing the Cerebras CS-4. From the team that brought you the wafer-scale revolution and the current generation CS-3 fastest AI in industry, we introduced our next generation CS-4 machine yesterday at our SUPERNOVA annual event: ⚡ Up to 30× faster inference than GPUs ⚡ Up to 10× more throughput per watt than CS-3 ⚡ Modular rack-scale appliance built for hyperscale and future systems CS-4 enables realtime frontier intelligence and the best experience for agentic applications. It is the platform for future AI. 🙏 Incredibly proud of our team Cerebras for this: CS-4 and the Nexus rack are not modest, incremental steps forward. 🤓 This is a ground-up redesign leveraging all that we've learned from CS-1 to CS-3 across wafer packaging, power delivery, cooling, IO, modularity and serviceability -- to maximize performance and efficiency for our users, engineered for deployment at hyperscale. 🚀 Onward and upward. And as before, believe me, this is just the beginning.
-
Aditya Singh shared thisCerebras AI just got 10x more efficient and 2x faster its predecessor CS-3…the CS-4 is here. Terrific announcement by the entire Cerebras team. Congratulations to Andrew Feldman Jean-Philippe Fricker Sean Lie.Aditya Singh shared thisToday, we announced Cerebras CS-4. The fastest AI accelerator in the industry. Up to 30x faster inference than GPU systems. Three Wafer Scale Engines. One modular, rack-native system. Built to scale from a single rack to gigawatt deployments. We built the impossible once. Today, the Cerebras team did it again. Learn more here: https://lnkd.in/du6YEnxc
-
Aditya Singh shared thisIncredible progress!Aditya Singh shared thisToday, AMD and Cerebras introduced a powerful disaggregated inference solution, pairing the right engine to each phase of the inference pipeline. This is what agentic AI has been waiting for: the fastest production inference at massive scale. AMD Helios delivers industry-leading throughput for prompt prefill, while the Cerebras Wafer-Scale Engine handles the decode to generate tokens at unmatched speed. Together, we eliminate the traditional tradeoff between throughput and latency. The joint solution delivers: •The fastest inference tokens in production •Up to 5x greater capacity •Frontier-scale 1T+ parameter models This unlocks a new class of AI applications—agents that can process massive context windows, reason across complex workflows, and respond instantly. Cerebras plans to deploy AMD Helios with the joint solution initially launching through Cerebras Inference Cloud in the second half of 2026.
-
Aditya Singh reposted thisAditya Singh reposted this📍 Field Notes from the Last Mile - No. 2 The hardest problem on a factory floor isn't getting a 15-year-old machine onto the network. It's understanding what it's saying once it's there. Spend time in a real plant - like the manufacturing floor at Hypertherm Associates - and you meet machines that have been running reliably for decades. As Robert Kay, VP of IT operations at Hypertherm Associates, put it: "Some of these devices are really old. I recall showing one of the Ramen engineers equipment connected through a serial port - serial ports haven't been around for 15 years." Connecting those machines is the first challenge, and it's largely a solved problem. With the right hardware, you can bridge almost anything onto a modern network. But here's the part nobody warns you about. Once the machine is connected, it's still speaking a language no one understands. Decades-old equipment often uses proprietary protocols that only the original vendor ever knew how to interpret. The machine is "online," yet the data you actually need remains trapped inside. Networking the machine takes hours. Learning its language can take weeks. That's the real last mile on the factory floor. It isn't just physical; it's semantic. You can wire up every machine in the plant and still be blind. This is where agentic AI becomes genuinely useful - not by replacing the machine, but by helping decode decades of proprietary machine languages and translating them into data that modern applications can understand. Physical AI is only as good as the data it can see. In the real world, much of that data is still stranded inside equipment that was never designed to be interoperable. And it's the same story everywhere our team works - factories, warehouses, manufacturing plants, cold-storage facilities. Decades-old machines quietly holding valuable operational data that no one can easily read. Until the machines become legible, AI remains blind. Free the data. For those running industrial operations: how much of your machine data is still trapped in formats your business can't use? #PhysicalAI #IndustrialAI #Manufacturing #EdgeAI #RamenInc
-
Aditya Singh shared thisThe AI hardware gold rush is the current consensus, but is that where the durable returns actually sit? For two decades, the venture capital community avoided hardware due to high capex and long cycles, favoring the retrieval-computing model of traditional SaaS. Now, AI's massive physical infrastructure demands have flipped the script, making hardware the industry's latest crush. I believe when an asset class becomes a consensus trade, the competitive edge migrates. The interesting question is what is still unmapped.Past the Chip: Where the Durable AI Returns Actually SitPast the Chip: Where the Durable AI Returns Actually Sit
Aditya Singh replied to a comment
4d
Andrew D. - thank you! looking forward to collaborating from Mayfield.
Aditya Singh commented on a post
4d
Samir Mayekar - thank you for the warm wishes. I appreciate your drive and passion.
Aditya Singh commented on a post
5d
Maggie Millhiser - congratulations Maggie! Thrilled for our success and amazing trajectory
-
Aditya Singh reacted on thisAditya Singh reacted on thisFrom IIT Kanpur to building companies and leading organisations. This #AlmaKonnect Leadership Summit brings together five accomplished IIT Kanpur alumni - Ms. Riya Bhattacharya, Mr. Ambuj Kumar, Mr. Ashish Bajpai, Mr. Sanjay Maurya and Mr. Somesh Misra - for an engaging conversation on leadership and entrepreneurship. With diverse experiences as Founders, and CEOs, the panel will share perspectives from their journeys, the decisions that shaped them, and the lessons learned along the way. 30 August 2026 | 5:00 PM – 7:00 PM LH-17, IIT Kanpur A conversation that promises to bring leadership beyond theory and into the real world. An exclusive interaction for IIT Kanpur students. #AlmaKonnect #LeadershipSummit #IITKanpur #Entrepreneurship #AlumniLeadership #IITKanpurAlumni #GlobalImpact Prof. Amey Karkare | Indian Institute of Technology Kanpur | Shubhang Srivastava | Sakshi Gulati | Kapil Kaul |
Experience & Education
Volunteer Experience
Languages
-
Spanish, Hindi
-
Other similar profiles
Explore more posts
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top contentOthers named Aditya Singh in United States
408 others named Aditya Singh in United States are on LinkedIn
See others named Aditya Singh