BRN Discussion Ongoing
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thelittleshort
Top Bloke
Are they announcing their own product - the app? Made possible by Akida. Awesome either way
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thelittleshort
Top Bloke
Maybe Benosman is bitter that PVDM beat him and GrAI Matter Labs to the punch with commercialisation of Akida
Made worse by PVDM’s awesome NASA comment on Benosman’s post
Benosman’s CV
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Fact Finder
Top 20
Great post @JK200SXApologies if this may have been posted previously. Although the article/link below is specifically about 4D radar imaging, it does present the names of quite a few companies working in the field, and may support some dot joining.....
4D Imaging Radar in Autonomous Vehicles – Industry, Market, and Competition Analysis
4D imaging radar modules expected to penetrate by 6.8 percent by 2025; only in a matter of 2-3 years, which is currently a niche market. The exterior application specially in the short-range applications such as blind-spot detection shows huge market potential along with in-cabin applications of...m14intelligence.com
Key Highlights
- ADAS and AV radar module market size anticipated to grow 1.6x times to reach $8 billion by 2025 and $12 billion by 2030, at a CAGR of 10.5 percent
- 4D imaging radar modules expected to penetrate by 6.8 percent by 2025; only in a matter of 2-3 years, which is currently a niche market
- Exterior application specially in the short-range applications such as blind-spot detection shows huge market potential along with in-cabin applications of occupant monitoring and left-child detection
- Vayyar Imaging, Arbe Robotics, Uhnder, RFISee, RadSee, Smart Radar System, Zadar Labs, Oculli, InnoSenT, Infineon, and Ainstein, are the leading emerging players in 4D imaging radar industry. While Texas Instruments, NXP Semiconductors, ST Microelectronics, Xilinx, and Analog Devices are the SoC providers aggressively working on developing 4D imaging radar solutions for ADAS and higher level of automation.
Exhaustive Coverage
M14 Intelligence with its core capabilities in understanding the key trends of autonomous, connected, electric, and shared mobility published the research on 4D imaging radar technology which talks about following important factors of the market
- Impact of COVID-19 pandemic on the automotive sales
- Repositioning Chinese auto industry in the awake of pandemic
- ADAS, Autonomous and Robotic Vehicles – Market Outlook
- Status of radar sensors in the ADAS and AV industry
- Understanding the potential change in the radar demand and its market size from different perspectives including – automation levels (ADAS, Level 2, Level 3 and Level 4/5), range of operations (short, medium-long), and frequency band of operation (24 GHz, 77 GHz, 79 GHz, and in-cabin application bands)
- Market penetration trend of 4D imaging radar-on-chip sensors for in-cabin and world-facing exterior sensing applications
- Impact of frequency regulations and allocations across different geographies
- 4D imaging radar hardware chip and software solutions and how it is expected to challenge the sensor suite dynamics
Market Overview
On average passenger vehicle sales are expected to grow by 4.5 percent between 2021 and 2030. At this pace the industry would take 3-4 years to regain the sales volume of 2019
Looking at the state of autonomous vehicles in 2021 there are many impressive milestones that have been achieved by companies such as Waymo, Baidu, Cruise, Aptiv, Yandex, Aurora, and Lyft among many others offering autonomous shared mobility solutions. At the same time, technology developers along with the OEMs are also witnessing unforeseen challenges
The total worldwide radar sales estimated in 2020 was 83.7 million units for passenger vehicles ADAS and autonomous driving applications. The sales are expected to witness growth by 16.7 percent in 2021 to reach 97.7 million, respectively. With the expected growth in the demand for level 2 featured passenger cars, the demand for radar is expected to grow by 12.1 percent, between 2021 and 2030.
The total sales of LRR in 2020 was 14.4 million units, which is expected to grow to 33.5 million units by the end of 2025. The demand is expected to grow as the rate of level 2 features deployment in passenger vehicles gain momentum. By 2030, it is estimated that the total sales of LRR will cross 61.3 million units.
Unlike LRR, the price of SRR or MRR is relatively cheaper, which makes it ideal for applications such as blind-spot detection and collision warning or assist system. On an average two SRR/MRR are used in level 1 vehicles, however, as the system level complexity increases, the number could increase to 4 or 5 depending on the level of automation. It is estimated that the total SRR sales will grow to 80.1 million units in 2021, witnessing growth from 69.3 million units in 2020. The growth potential is immense with the deployment of L2 and autonomous features in vehicles. By 2030, the total sales demand is expected to cross 195.6 million units, at an estimated CAGR of 10.4 percent, between 2021 and 2030.
The widely used 24GHz frequency band for short range radar is expected to be gradually replaced by 79GHz band, as the narrow 24GHz band is relatively weaker in object recognition and range detection.
Companies such as SmartMicro and Aptiv are already offering the SRR in 79GHz band majorly for blind spot detection, lane change assist and cross traffic alert. OEMs use combination of minimum 4 to 6 SRR and MRR to attain 360- degree horizontal coverage. BMW uses SRR& MRR from Continental for its level 2 models; few models of Honda, Jeep, and Mercedes uses Veoneer’s radar; Volkswagen uses SRR from Bosch and Hella.
The 79 GHz module is expected to witness high market penetration post 2022 with total sales expected to reach 35.7 million units by 2025. The 77 GHz module is expected to grow to 118.5 million units by 2025 and 163.7 million units by 2030, at an estimated CAGR of 13.5 percent, between 2021 and 2030.
Although the industry currently is led by the radar MCU players, however, the future trends is clearly towards more sophisticated technology that is cost optimized and provide high performance. 4D imaging radar is one such solution in which signal processing and decision making occupies central position.
According to estimates, the 4D imaging radars are expected to witness initial deployment from 2020 with close to XX thousand units in sales. The sales are expected to pick up growth trends post 2025 with majority of AV companies, OEMs, and Tier 1s using 4D radars for world-facing and in-cabin monitoring applications. By 2025, the sales are expected to cross XX million units and is further expected to cross XX million units in sales by 2030.
The 4D imaging radar sensing technology is expected to penetrate at higher rate in the exterior sensing market and also hold potential to possible replace the conventional radar systems in coming years.
From the market adoption perspective, the radar sensor and semiconductor companies have already started using 79 GHz for medium and short range ADAS applications. Until the complete adoption of 79 GHz, 24 GHz SRR radar market is expected have smaller market presence. This change has offered unprecedented flexibility to the sensor players as it allows the integration of AI and other processing technologies with radar capabilities. All new entrants in the radar space have unveiled their products in 4D imaging technology space catering to short, medium, and long-range ADAS applications.
Several technologies are being adopted by players in this new radar domain. Multiple In Multiple Out (MIMO) antenna array technique, CMOS processing, FMCW technology, Phased Array, and solid-state technology are few of the major 4D radar imaging technologies being embraced by the sensor and chip manufactures.
Recently in April 2021, Vayyar Imaging Ltd., Valeo North America Inc., Infineon Technologies Americas Corp., Tesla Inc., IEE Sensing Inc., and Brose North America Inc. has received a waiver permitting the operation of radar-based vehicle cabin monitors in the 57-71 GHz band from the Federal Communications Commission (FCC or Commission). The permit is intended towards enhancing the passenger safety and theft prevention applications. These companies are the legal first movers in the in- cabin radar sensing space and expected to equip their systems in passenger cars by 2023.
The last paragraph is very interesting given AKIDA’s radar talents:
“Recently in April 2021, Vayyar Imaging Ltd., Valeo North America Inc., Infineon Technologies Americas Corp., Tesla Inc., IEE Sensing Inc., and Brose North America Inc. has received a waiver permitting the operation of radar-based vehicle cabin monitors in the 57-71 GHz band from the Federal Communications Commission (FCC or Commission). The permit is intended towards enhancing the passenger safety and theft prevention applications. These companies are the legal first movers in the in- cabin radar sensing space and expected to equip their systems in passenger cars by 2023”
My opinion only DYOR
FF
AKIDA BALLISTA
TasTroy77
Founding Member
"[EDV] is core portfolio material" - Gary Glover - The Call from ausbiz
Gary Glover from Novus Capital and Joshua Barker from Maqro Capital go in-depth and stock specific. Stocks covered: BRG, MIN, BRN, ELD, TLS, CCP, EDV, BHP, FPH, MGR. Our stock of the day is CSL (CSL). See acast.com/privacy for privacy and opt-out information.
Fact Finder
Top 20
That is my problem it can be read either way but as you say neither is negative.
This is the cross we bare for having chosen to ride a multi trick pony.
My opinion only DYOR
FF
AKIDA BALLISTA
thelittleshort
Top Bloke
Stable Genius
Regular
New competition?
All the technical stuffs over my head!
https://lnkd.in/djahMwhq
Axelera AI Announces Successful Testing of Thetis Core Chip
Eindhoven, Netherlands – May 17, 2022 – Artificial intelligence (AI) startup Axelera AI announced it has successfully tested and validated its first chip, the Thetis Core.
The Thetis Core, first taped out in December 2021 with the support of imec.IC-link, is a test vehicle demonstrating the high performance and efficiency of the in-memory computing technology developed by Axelera AI.
The in-memory computing engine delivers an astonishing 39.3 tera operations per second (TOP/s) with an efficiency of 14.1 TOPs/W at an INT8 precision in less than 9 square millimeters. In the case of high-sparsity activations, the peak energy efficiency reaches 33 TOPs/W. Moreover, by increasing the nominal clock frequency the peak throughput reaches 48.16 TOPs.
Multiple enhanced versions of the in-memory computing engine will be integrated inside the company’s first product, which will be announced later this year and will be available in early 2023.
Axelera AI is a European company which is developing a powerful, efficient, and competitive hardware and software platform to accelerate artificial intelligence workloads at the edge.
Based in the AI Innovation Center of the High Tech Campus in Eindhoven, the company has R&D offices throughout Europe in Leuven (BE) and Zurich (CH) and presence in Germany, Greece, Ireland, Italy, Portugal, and Romania. Since its inception last summer, the company has recruited an elite team of more than 50 senior engineers and developers from world-leading AI companies and research centres, including Intel, Qualcomm, IBM, and imec.
“Thetis Core is an important milestone for Axelera AI. It demonstrates that our in-memory computing technology can deliver extremely high throughput, high precision, and efficiency in an extremely compact footprint,” Axelera AI CEO and co-founder Fabrizio del Maffeo said. “This chip, taped out in just a few months, shows the strength of our fast-growing team which has a unique mix of competencies, from analog and digital in-memory computing to dataflow, RISC-V, machine learning and software.”
“The breakthrough performance of Thetis manifests the efficacy of Axelera’s in-memory computing approach. Such a novel computing paradigm is perfectly timed to meet the stringent operational requirements of the AI applications at the edge,” Axelera AI co-founder and CTO Evangelos Eleftheriou said. “The high-energy efficiency together with the high precision and the versatile software stack will address the user pain points of AI application development at the edge.”
Axelera AI is designing the world’s most efficient and advanced AI solutions. Its game-changing hardware and software platform will concentrate the AI computational power of an entire server into a single chip at a fraction of the power consumption and price of AI hardware today. The Axelera AI software stack will allow customers to run their neural networks and applications efficiently and cost-effectively, without the need to retrain teams on new AI frameworks. Axelera AI cloud and marketplace will also offer off-the-shelf AI solutions for software and hardware developers who need a fast integration of AI in their products.
The company’s groundbreaking solutions will empower thousands of applications of AI at the edge, making the use of AI more efficient and accessible than ever before. Axelera AI’s products will be fully integrated with the leading open-sourced AI frameworks when it is launched to select customers and partners in early 2023. The company is also currently raising its Series A fund, expected to close later this year.
Axelera AI co-founder and CEO Fabrizio del Maffeo will share more details about the Thetis Core chip at imec’s flagship event on nanoelectronics advances & deeptech solutions, the 2022 Future Summit. Details on his fireside conversation, scheduled for May 18, can be found here.
All the technical stuffs over my head!
https://lnkd.in/djahMwhq
Axelera AI Announces Successful Testing of Thetis Core Chip
Delivering 40 tera operations per second, the chip is fully optimised for AI edge applications
Eindhoven, Netherlands – May 17, 2022 – Artificial intelligence (AI) startup Axelera AI announced it has successfully tested and validated its first chip, the Thetis Core.
The in-memory computing engine delivers an astonishing 39.3 tera operations per second (TOP/s) with an efficiency of 14.1 TOPs/W at an INT8 precision in less than 9 square millimeters. In the case of high-sparsity activations, the peak energy efficiency reaches 33 TOPs/W. Moreover, by increasing the nominal clock frequency the peak throughput reaches 48.16 TOPs.
Multiple enhanced versions of the in-memory computing engine will be integrated inside the company’s first product, which will be announced later this year and will be available in early 2023.
Axelera AI is a European company which is developing a powerful, efficient, and competitive hardware and software platform to accelerate artificial intelligence workloads at the edge.
Based in the AI Innovation Center of the High Tech Campus in Eindhoven, the company has R&D offices throughout Europe in Leuven (BE) and Zurich (CH) and presence in Germany, Greece, Ireland, Italy, Portugal, and Romania. Since its inception last summer, the company has recruited an elite team of more than 50 senior engineers and developers from world-leading AI companies and research centres, including Intel, Qualcomm, IBM, and imec.
“Thetis Core is an important milestone for Axelera AI. It demonstrates that our in-memory computing technology can deliver extremely high throughput, high precision, and efficiency in an extremely compact footprint,” Axelera AI CEO and co-founder Fabrizio del Maffeo said. “This chip, taped out in just a few months, shows the strength of our fast-growing team which has a unique mix of competencies, from analog and digital in-memory computing to dataflow, RISC-V, machine learning and software.”
“The breakthrough performance of Thetis manifests the efficacy of Axelera’s in-memory computing approach. Such a novel computing paradigm is perfectly timed to meet the stringent operational requirements of the AI applications at the edge,” Axelera AI co-founder and CTO Evangelos Eleftheriou said. “The high-energy efficiency together with the high precision and the versatile software stack will address the user pain points of AI application development at the edge.”
Axelera AI is designing the world’s most efficient and advanced AI solutions. Its game-changing hardware and software platform will concentrate the AI computational power of an entire server into a single chip at a fraction of the power consumption and price of AI hardware today. The Axelera AI software stack will allow customers to run their neural networks and applications efficiently and cost-effectively, without the need to retrain teams on new AI frameworks. Axelera AI cloud and marketplace will also offer off-the-shelf AI solutions for software and hardware developers who need a fast integration of AI in their products.
The company’s groundbreaking solutions will empower thousands of applications of AI at the edge, making the use of AI more efficient and accessible than ever before. Axelera AI’s products will be fully integrated with the leading open-sourced AI frameworks when it is launched to select customers and partners in early 2023. The company is also currently raising its Series A fund, expected to close later this year.
Axelera AI co-founder and CEO Fabrizio del Maffeo will share more details about the Thetis Core chip at imec’s flagship event on nanoelectronics advances & deeptech solutions, the 2022 Future Summit. Details on his fireside conversation, scheduled for May 18, can be found here.
thelittleshort
Top Bloke
New from Mercedes Benz. Video in the LinkedIn link below
www.linkedin.com
#mercedesbenz #sclass #eqs #automateddriving #leadincarsoftware #technology #transformation #futureofmobility | Markus Schäfer
From today, our German customers can order our DRIVE PILOT – the world’s first SAE Level 3 conditional automated driving system – for #MercedesBenz #SClass and #EQS. I’m really proud that we’re now ready to offer our customers the advantages of this technology to upgrade their everyday driving...
Boab
I wish I could paint like Vincent
What a bunch of knob heads. Kochi pffffftanother analysis by 3 blind mice about BRN 18.53 minutes in on The Call with Koshi. Just goes to show how under the radar brainchip is as the perception of the average" fundie" has been consistently negative based on market cap and revenue metrics."[EDV] is core portfolio material" - Gary Glover - The Call from ausbiz
Gary Glover from Novus Capital and Joshua Barker from Maqro Capital go in-depth and stock specific. Stocks covered: BRG, MIN, BRN, ELD, TLS, CCP, EDV, BHP, FPH, MGR. Our stock of the day is CSL (CSL). See acast.com/privacy for privacy and opt-out information.t.co
Pappagolla
Regular
I believe the technical term is WANCA.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Maybe Benosman is bitter that PVDM beat him and GrAI Matter Labs to the punch with commercialisation of Akida
Made worse by PVDM’s awesome NASA comment on Benosman’s post
View attachment 6863
View attachment 6862
Benosman’s CV
View attachment 6864
He-he-he! SoC it to him Peter!
Fact Finder
Top 20
I have been reading these types of announcements for so long now I feel able to use all my five senses when they are deliberately vague about power consumption and use terms like ultra low power, low power and in this case a fraction of the power of a data centre and not mention it can run on a tiny battery and sniff, taste, feel, hear and see multi watts of power not milli or micro watts.New competition?
All the technical stuffs over my head!
https://lnkd.in/djahMwhq
Axelera AI Announces Successful Testing of Thetis Core Chip
Delivering 40 tera operations per second, the chip is fully optimised for AI edge applications
Eindhoven, Netherlands – May 17, 2022 – Artificial intelligence (AI) startup Axelera AI announced it has successfully tested and validated its first chip, the Thetis Core.
The Thetis Core, first taped out in December 2021 with the support of imec.IC-link, is a test vehicle demonstrating the high performance and efficiency of the in-memory computing technology developed by Axelera AI.
The in-memory computing engine delivers an astonishing 39.3 tera operations per second (TOP/s) with an efficiency of 14.1 TOPs/W at an INT8 precision in less than 9 square millimeters. In the case of high-sparsity activations, the peak energy efficiency reaches 33 TOPs/W. Moreover, by increasing the nominal clock frequency the peak throughput reaches 48.16 TOPs.
Multiple enhanced versions of the in-memory computing engine will be integrated inside the company’s first product, which will be announced later this year and will be available in early 2023.
Axelera AI is a European company which is developing a powerful, efficient, and competitive hardware and software platform to accelerate artificial intelligence workloads at the edge.
Based in the AI Innovation Center of the High Tech Campus in Eindhoven, the company has R&D offices throughout Europe in Leuven (BE) and Zurich (CH) and presence in Germany, Greece, Ireland, Italy, Portugal, and Romania. Since its inception last summer, the company has recruited an elite team of more than 50 senior engineers and developers from world-leading AI companies and research centres, including Intel, Qualcomm, IBM, and imec.
“Thetis Core is an important milestone for Axelera AI. It demonstrates that our in-memory computing technology can deliver extremely high throughput, high precision, and efficiency in an extremely compact footprint,” Axelera AI CEO and co-founder Fabrizio del Maffeo said. “This chip, taped out in just a few months, shows the strength of our fast-growing team which has a unique mix of competencies, from analog and digital in-memory computing to dataflow, RISC-V, machine learning and software.”
“The breakthrough performance of Thetis manifests the efficacy of Axelera’s in-memory computing approach. Such a novel computing paradigm is perfectly timed to meet the stringent operational requirements of the AI applications at the edge,” Axelera AI co-founder and CTO Evangelos Eleftheriou said. “The high-energy efficiency together with the high precision and the versatile software stack will address the user pain points of AI application development at the edge.”
Axelera AI is designing the world’s most efficient and advanced AI solutions. Its game-changing hardware and software platform will concentrate the AI computational power of an entire server into a single chip at a fraction of the power consumption and price of AI hardware today. The Axelera AI software stack will allow customers to run their neural networks and applications efficiently and cost-effectively, without the need to retrain teams on new AI frameworks. Axelera AI cloud and marketplace will also offer off-the-shelf AI solutions for software and hardware developers who need a fast integration of AI in their products.
The company’s groundbreaking solutions will empower thousands of applications of AI at the edge, making the use of AI more efficient and accessible than ever before. Axelera AI’s products will be fully integrated with the leading open-sourced AI frameworks when it is launched to select customers and partners in early 2023. The company is also currently raising its Series A fund, expected to close later this year.
Axelera AI co-founder and CEO Fabrizio del Maffeo will share more details about the Thetis Core chip at imec’s flagship event on nanoelectronics advances & deeptech solutions, the 2022 Future Summit. Details on his fireside conversation, scheduled for May 18, can be found here.
I also ask if this can run the same work loads as a data centre on a single chip why not simply replace servers and suggest your market is only Edge acceleration.
Gosh I sound jaded.
My opinion only DYOR
FF
AKIDA BALLISTA
Boab
I wish I could paint like Vincent
Hi Pappagallo, from memory of my month long stay in an Italian hospital after a cycling accident does your name mean Parrot or Parrot's beak.
I seem to recall the nurses using that word as they handed me the pee bottle shaped like a parrots beak
Terroni2105
Founding Member
Listening to that infuriated meanother analysis by 3 blind mice about BRN 18.53 minutes in on The Call with Koshi. Just goes to show how under the radar brainchip is as the perception of the average" fundie" has been consistently negative based on market cap and revenue metrics."[EDV] is core portfolio material" - Gary Glover - The Call from ausbiz
Gary Glover from Novus Capital and Joshua Barker from Maqro Capital go in-depth and stock specific. Stocks covered: BRG, MIN, BRN, ELD, TLS, CCP, EDV, BHP, FPH, MGR. Our stock of the day is CSL (CSL). See acast.com/privacy for privacy and opt-out information.
I gotta take a chill pill now. They don’t know a thing about the company yet feel they are qualified to pass judgement about it.hamilton66
Regular
T, I'm staggered by this conversation. No mention of the product moving to commercialization, no mention of contracts in place, nor any mention of the league of heavy hitters in the EAP. Staggering. He mentions he "went down a rabbit hole last night" Must have been dug by a kitten, and I reckon if he spent 5 minutes doing research, we'd be lucky. So how much time have these flogs researched the companies they're recommending? I'll do my own research thanks, and blame myself for any bad decisions. Tracking quite nicely thanks. GLTA.another analysis by 3 blind mice about BRN 18.53 minutes in on The Call with Koshi. Just goes to show how under the radar brainchip is as the perception of the average" fundie" has been consistently negative based on market cap and revenue metrics."[EDV] is core portfolio material" - Gary Glover - The Call from ausbiz
Gary Glover from Novus Capital and Joshua Barker from Maqro Capital go in-depth and stock specific. Stocks covered: BRG, MIN, BRN, ELD, TLS, CCP, EDV, BHP, FPH, MGR. Our stock of the day is CSL (CSL). See acast.com/privacy for privacy and opt-out information.
Mugen74
Regular
I have a conspiracy theory-I think these guys know all about it,but are busy accumulating a position-so of course they will talk it down,until they have their fill,then as if by magic their sentiment will suddenly change and BRN will become a market darling.(Even Scott Phillips will see the light and it will be a MF top 5 pickListening to that infuriated me
)Or
They are just WANCAs.
Either way BRN will be a market darling at some point in the future and we can take pleasure laughing at them.
AKIDA BALLISTA
D
Deleted member 118
Guest
New competition?
All the technical stuffs over my head!
https://lnkd.in/djahMwhq
Axelera AI Announces Successful Testing of Thetis Core Chip
Delivering 40 tera operations per second, the chip is fully optimised for AI edge applications
Eindhoven, Netherlands – May 17, 2022 – Artificial intelligence (AI) startup Axelera AI announced it has successfully tested and validated its first chip, the Thetis Core.
The Thetis Core, first taped out in December 2021 with the support of imec.IC-link, is a test vehicle demonstrating the high performance and efficiency of the in-memory computing technology developed by Axelera AI.
The in-memory computing engine delivers an astonishing 39.3 tera operations per second (TOP/s) with an efficiency of 14.1 TOPs/W at an INT8 precision in less than 9 square millimeters. In the case of high-sparsity activations, the peak energy efficiency reaches 33 TOPs/W. Moreover, by increasing the nominal clock frequency the peak throughput reaches 48.16 TOPs.
Multiple enhanced versions of the in-memory computing engine will be integrated inside the company’s first product, which will be announced later this year and will be available in early 2023.
Axelera AI is a European company which is developing a powerful, efficient, and competitive hardware and software platform to accelerate artificial intelligence workloads at the edge.
Based in the AI Innovation Center of the High Tech Campus in Eindhoven, the company has R&D offices throughout Europe in Leuven (BE) and Zurich (CH) and presence in Germany, Greece, Ireland, Italy, Portugal, and Romania. Since its inception last summer, the company has recruited an elite team of more than 50 senior engineers and developers from world-leading AI companies and research centres, including Intel, Qualcomm, IBM, and imec.
“Thetis Core is an important milestone for Axelera AI. It demonstrates that our in-memory computing technology can deliver extremely high throughput, high precision, and efficiency in an extremely compact footprint,” Axelera AI CEO and co-founder Fabrizio del Maffeo said. “This chip, taped out in just a few months, shows the strength of our fast-growing team which has a unique mix of competencies, from analog and digital in-memory computing to dataflow, RISC-V, machine learning and software.”
“The breakthrough performance of Thetis manifests the efficacy of Axelera’s in-memory computing approach. Such a novel computing paradigm is perfectly timed to meet the stringent operational requirements of the AI applications at the edge,” Axelera AI co-founder and CTO Evangelos Eleftheriou said. “The high-energy efficiency together with the high precision and the versatile software stack will address the user pain points of AI application development at the edge.”
Axelera AI is designing the world’s most efficient and advanced AI solutions. Its game-changing hardware and software platform will concentrate the AI computational power of an entire server into a single chip at a fraction of the power consumption and price of AI hardware today. The Axelera AI software stack will allow customers to run their neural networks and applications efficiently and cost-effectively, without the need to retrain teams on new AI frameworks. Axelera AI cloud and marketplace will also offer off-the-shelf AI solutions for software and hardware developers who need a fast integration of AI in their products.
The company’s groundbreaking solutions will empower thousands of applications of AI at the edge, making the use of AI more efficient and accessible than ever before. Axelera AI’s products will be fully integrated with the leading open-sourced AI frameworks when it is launched to select customers and partners in early 2023. The company is also currently raising its Series A fund, expected to close later this year.
Axelera AI co-founder and CEO Fabrizio del Maffeo will share more details about the Thetis Core chip at imec’s flagship event on nanoelectronics advances & deeptech solutions, the 2022 Future Summit. Details on his fireside conversation, scheduled for May 18, can be found here.
Earlyrelease
Regular
FFI am sure we have all heard of the Big Australian BHP.
I think we are witnessing the birth of the Big Quiet Achieving Australian BRN.
My opinion only DYOR
FF
AKIDA BALLISTA
Did you say “The Big Akidian”.
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