nature.com/articles/s41586-0… Plenty of room for new transistors. Magneto-electric Spin-Orbit Logic
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Sasi Manipatruni retweeted
Thanks for the support and belief! @srinivos
1/ Kepler holds the record for the longest any of our portfolio companies has stayed in stealth: seven years. 2/ What has always been clear is the team's conviction in pursuing a foundational problem spanning materials, memory, and logic.
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Congratulations to the @keplercompute team on emerging from stealth and the raise! We’re excited to support them in tackling one of AI compute’s biggest bottlenecks: memory.
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
1/ Kepler holds the record for the longest any of our portfolio companies has stayed in stealth: seven years. 2/ What has always been clear is the team's conviction in pursuing a foundational problem spanning materials, memory, and logic.
Today, after 7 years in stealth, I, @emeskey and our co-founders are proud to announce @keplercompute. The world is much better off when we give power & intelligence to the people. When everyone can become their highest selves by pairing their human creativity with the exponentially rising intelligence from our magnificent computers. Our goal is to unlock the power of frontier intelligence for everyone by pushing memory and logic chip manufacturing to the limits of physics. To achieve this, we will move the world from one of compute scarcity to abundance where we can make orders of magnitude more chips per dollar and can lower datacenter energies to the limits of physics. We will use physics to ensure we have enough chips and that we can power them on. Why is compute scarce? Today's dominant approach - shrinking transistors with EUV - has run into $20B-$40B fabs that take years to build. Sized against that risk, the industry (quite rationally!) grows capex much slower than AI demand that can grow 10x in a year. In the current system, scarcity is built in. A different way is possible. We founded Kepler on the following beliefs: 1. It is possible to build leadership chips without a dependence on EUV 2. It is possible to achieve multiple orders of magnitude more intelligence per watt by evolving chips 2D Silicon to 3D Beyond silicon 3. It is possible to get much closer to the physical limits of computing than we are today while staying within mainstream digital computing Memory is the biggest binding constraint on AI compute and so we start with a new frontier of AI memory- approaching the bandwidth per watt of SRAM, going up to 10x beyond the capacity of HBM. We use 3D and materials innovations that allow for leapfrogging leading nodes while requiring no EUV lithography and allowing us use fabs that already exist. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. We have raised $468m, built our own fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business, please get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
We've been working with the Kepler team for a while, excited to see them come out of stealth. The 3D era is coming in hot.
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Exclusive: I've been talking to the team at Kepler Computing for a few months now, as they've been getting ready to come out of stealth after *7+ years* of development. Their approach is super interesting—3D stacking and a proprietary material composite—which they think can help with HBM and SRAM bottlenecks. But, as with all things chipmaking, scale will be one of the biggest challenges wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Very excited that Kepler is out of stealth … when we participated in the seed years ago we knew what they were working on was important … but man, no one had any idea AI would so dramatically up the stakes! 🤯
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Today, Kepler Computing (@keplercompute) emerged from stealth after over 7 years in development. Their new #memorychip architecture boosts HBM and SRAM density without relying on costly #EUV lithography, addressing a real bottleneck in the memory supply chain. Read more from @WIRED's @LaurenGoode below: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
The @neo-funded rocket ship of the day. 🚀
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Congratulations to the team 🚀🙌 Proud backer of the team since day one :)
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Thanks for believing and betting on us from the start!! @chrisfhoward
Kepler’s Seven-Year Bet on the Future of Compute - congrats to the team on coming out of stealth! linkedin.com/pulse/keplers-s… via @LinkedIn
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Sasi Manipatruni retweeted
I'm proud to be an early investor in this generational company that is revolutionizing chip manufacturing for frontier AI. After 7 years in stealth, @keplercompute launches today as a Series D company with $468M raised, and a cracked team! Congratulations, @dolaoseb! 👏
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM. We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Sasi Manipatruni retweeted
Pumped to see Kepler come out of stealth after raising $468 million. Memory is the biggest constraint on AI compute. The company uses 3D and materials innovations to leapfrog leading nodes without requiring EUV lithography.
Today, after 7 years in stealth, I, @emeskey and our co-founders are proud to announce @keplercompute. The world is much better off when we give power & intelligence to the people. When everyone can become their highest selves by pairing their human creativity with the exponentially rising intelligence from our magnificent computers. Our goal is to unlock the power of frontier intelligence for everyone by pushing memory and logic chip manufacturing to the limits of physics. To achieve this, we will move the world from one of compute scarcity to abundance where we can make orders of magnitude more chips per dollar and can lower datacenter energies to the limits of physics. We will use physics to ensure we have enough chips and that we can power them on. Why is compute scarce? Today's dominant approach - shrinking transistors with EUV - has run into $20B-$40B fabs that take years to build. Sized against that risk, the industry (quite rationally!) grows capex much slower than AI demand that can grow 10x in a year. In the current system, scarcity is built in. A different way is possible. We founded Kepler on the following beliefs: 1. It is possible to build leadership chips without a dependence on EUV 2. It is possible to achieve multiple orders of magnitude more intelligence per watt by evolving chips 2D Silicon to 3D Beyond silicon 3. It is possible to get much closer to the physical limits of computing than we are today while staying within mainstream digital computing Memory is the biggest binding constraint on AI compute and so we start with a new frontier of AI memory- approaching the bandwidth per watt of SRAM, going up to 10x beyond the capacity of HBM. We use 3D and materials innovations that allow for leapfrogging leading nodes while requiring no EUV lithography and allowing us use fabs that already exist. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. We have raised $468m, built our own fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business, please get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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Today, after 7 years in stealth, I am proud to share the Kepler story with you. I and @dolaoseb @rajeevdokania Amrita Mathuriya Prof. Ramamoorthy Ramesh are proud to announce Kepler. I am humbled to work with the immense Kepler team. Our goal is to unlock the power of frontier intelligence for everyone by pushing memory and logic chip manufacturing to the limits of physics. We went after the Moore's law fabric revival not because it was easy, but the right thing to do even if it was hard.  Our fabs are humming. Our tools are printing SRAM. Our HBM is powered on. Our Logic is proven. Our wafers are being stacked. We are open for business. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: lnkd.in/gcak6EGc
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Sasi Manipatruni retweeted
Kepler Computing claims a new approach to chip design—and a proprietary material—can help end the supply bottlenecks that have sent memory prices surging. wired.com/story/a-new-dollar…
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CART-KIDS: Convenience, Not Just Cost, Drives Ultra Processed Food Exposure in U.S. Household Food Purchases- Montecarlo K... #Nutrition2026 cdmcd.co/D8m9Qz
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Happy is the man that findeth wisdom, And the man that getteth understanding.
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Dear Network, I am looking for materials engineers who are eager to work on groundbreaking technology. - If you a chemist, physicist, mat.sci, cond.mat or a hardware nerd with a knack for ALD, PVD, PLD please message me :) Can you please reshare to your network?
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Room temperature superconductor research gets 10x less funding every year than toilet paper advertising. yep.
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Sasi Manipatruni retweeted
We’re halfway through Neo Accelerator and these last two weeks have been a whirlwind! 🏎️💨
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