TiE Delhi-NCR’s Post

🤖The often-overlooked factor that influences the cost of AI development. Infrastructure cost. Here's the deal: An AI model relies on processing large datasets, which requires substantial computational resources. To put it into perspective, a single action can demand between 20 and 100 times more resources than a simple data query. Now, let's talk money. Meta’s AI model, Galactica, used 128 NVIDIA A100 80GB nodes. For context, a single A100 can set you back $15,000. And that’s only part of a system that includes high-performance CPUs, RAMs, and networks. Even if you don’t have Galactica-sized ambitions, it all adds up. So, here's the bottom line: Infrastructure costs will definitely increase project expenses in the long run. If you're considering using AI development for your business and want to make a smart, cost-effective investment, get in touch with me or my team at NERDZ LAB. #ai #aidevelopment #softwaredevelopment #entrepreneurship #business #technology #innovation #startups #techstartups #artificialintelligence

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Exciting news in the AI hardware space! EnCharge AI has successfully raised $22.6 million to bring their new AI-accelerating chips to market, signaling a bold step forward in their journey to compete with giants such as Nvidia and AMD. Just a year after TechCrunch's initial coverage of this ambitious startup, EnCharge AI stands as a testament to innovation and progress in the AI industry. To learn more about how this funding could revolutionize AI processing, read the full article on TechCrunch: [EnCharge raises $22.6M to commercialize its AI-accerating chips](https://ift.tt/Ag16QhB). Stay informed about the future of AI hardware and join the conversation on this groundbreaking development.

https://lnkd.in/en2EYKQX How could a #semiconductor #startup working in #AI crack a competitive marketplace already lopsidedly locked in by NVIDIA Corp., a giant with a $2.2 trillion market cap? It couldn’t. "AI is still new,” says Tenstorrent COO Keith Witek. He shares how the startup is plotting to create an opening. Further, he explains how incumbents are handcuffed to their past investments, their financial situation, their staffing, their customer roadmaps. #AI needs #Business #engineering.

Tenstorrent's Not-So-Secret #AI Plan: 'Don't Compete with NVIDIA.' Startup survival hinges on Rule One: Never run out of money. Whether Cerebra, Tenstorrent, Groq or SambaNova Systems, every AI chip #startup faces the underdog challenge of keeping up the money flow in a market where Nvidia calls most of the shots. What plan do you have?

Etched is Building a Specialized AI Chip Generative AI's expansion has boosted demand for specialized chips, with Nvidia dominating the market. Etched, a startup founded by Harvard dropouts, aims to challenge this dominance with its Sohu chip, designed specifically for running Transformer models. Sohu claims to offer better performance and energy efficiency than general-purpose GPUs. Etched has raised $120 million in a Series A funding round, with significant investor interest. Despite competition from other AI chip startups, Etched's focus on Transformers and early customer reservations position it as a strong contender in the AI chip industry. Read more here: https://lnkd.in/ejy52jpd

In our industry, few moments are as exhilarating as tapeout, however, being recognized as a top semiconductor startup comes pretty close. For the team at Blumind, July 2024 will be one for their record books because they accomplished both! I had the pleasure of meeting co-founder and COO Niraj Mathur at Blumind’s headquarters in the ventureLAB building in Toronto a couple of weeks ago, on the same day as their latest chip tapeout. Niraj was enthusiastic about sharing their story and graciously sat with me to discuss Blumind’s progress, their current chip, and his insights into the ongoing evolution of AI. According to Niraj, AI and machine learning are the most potent driving forces behind the current technology revolution and will fuel unprecedented innovation. This wave has attracted many newcomers to the space, yet as the ecosystem of hardware companies expands, Blumind stands apart with a unique approach. He and co-founder John Gosson view the human brain as the “ultimate machine” for handling the complexity of modern AI/ML workloads and in their view, the challenges associated with data transport are "signal processing problems to solve." This led Niraj and John to focus on analog architectures and modelling their chips after the brain's neural networking capabilities. Niraj is captivating to listen to, and I was fully engrossed as he described Blumind’s thesis. Their end goal is to make high-compute, low-power neural accelerators widespread to enable AI in billions of devices worldwide so people can harness its potential and unlock their own. With a mission this significant, it’s no wonder Blumind was recognized by the EE Times | Electronic Engineering Times as one of the “Startups Worth Watching in 2024”. They nailed it with that call, and I will certainly be watching and cheering for Niraj and his team. I encourage anyone interested in AI to watch the clip below to hear Niraj share his insights about analog compute. And if you want to congratulate Blumind for making the Silicon 100, give them kudos for their accomplishment in the comments section! #semiconductorindustry #artificalintelligence #startups

“We need to accelerate the development of AI as fast as possible, and the reason for that is because safety requires technology.” - Jensen Huang Buckle up and enjoy the AI ride people. 🚀 “What Huang rejects is the idea of a ‘universal, galactic, planetary’ governance system for all things AI. No one, he says, could possibly have so much knowledge about generative AI technologies to do that effectively.” That sound you’re hearing now is the collective gasp of Brussels, and a loud Gallic humph from Thierry Breton. 😤 https://lnkd.in/esSP7-g4 #tech #technology #innovation #startups #entrepreneurs #entrepreneurship #deeptech #ai #artificialintelligence #nvidia #vc #venturecapital

Sakana.ai Series-A announcement : “Countries are embracing Sovereign AI to capture and codify their data, culture and language through their own unique large language models. The team at Sakana AI is helping spur the democratization of AI in Japan by developing cutting-edge foundation models to automate and speed up scientific discovery with NVIDIA’s accelerated computing platform.” —Jensen Huang, Founder and CEO of NVIDIA Raised over $100M from key investors and partners: led by New Enterprise Associates, Khosla Ventures and Lux Capital, with participation from NVIDIA. NVIDIA Collaboration: Research, Data Centers and Developing Japan's AI community. https://lnkd.in/dAxrTzVu https://lnkd.in/dVuVhfZj (Japanese, Nikkei) https://lnkd.in/d_b6Wcwi