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Observer | Jensen Huang Eyes CPU Boom as Agentic A.I. Reshapes Chip Market by Alexandra Tremayne-Pengelly
AI generated summary, Read the full article for complete information.
Nvidia CEO Jensen Huang says the next growth engine for the company lies in CPUs, driven by the rise of agentic AI systems that require far more processing power than traditional GPUs. After dominating the GPU market, Nvidia has launched its Vera CPU—described as a “major new growth driver” that opens a market Nvidia has never addressed before—and estimates the CPU opportunity at about $200 billion. The firm already generated $20 billion in CPU revenue this year and expects to become a leading CPU supplier, even as its overall revenue hit $81.6 billion and net income $58.3 billion in the February‑April quarter. While rivals Intel and AMD are also seeing strong CPU demand, analysts view Nvidia’s new chips as adding a significant dimension to its growth, especially as the ratio of CPUs to accelerators narrows in the evolving AI era.
Read more: https://observer.com/2026/05/jensen-huang-nvidia-gpus-cpus/
#JensenHuang #Nvidia #Artificialintelligence #earnings #semiconductors #ColetteKress #SimonLeopold
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Intel bet everything on x86 dominance, and now its foundry arm is flailing while AI chips move to entirely new architectures. The lesson isn't about manufacturing-it's about the perils of betting your future on a single, rigid design philosophy. Diversify or die applies to chip design, too. #intel #semiconductors #chipdesign
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Olix, a photonics startup, has raised $220 million in Series B funding to develop commercial AI chips that process data using light rather than electricity. The company claims its architecture reduces latency thousands of times over, cuts data center energy consumption by 80-90%, and enables parallel computing beyond silicon's physical limits. If successful by late 2026, the cost of training large language models could drop dramatically. The investment signals growing interest in alternatives to Nvidia's semiconductor dominance.
https://vir.group/
#TechNews #AI #Semiconductors
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BSR Tech News
@bsrtech@flipboard.social
I will try to share my tech writing or any other tech news with you. #technews #AIHardware Got surplus test equipment? Resell https://www.buysellram.com/sell-test-equipment/ Want to learn where to sell used GPUs? https://www.buysellram.com/blog/10-best-places-to-sell-gpu-for-cash-for-the-most-returns/
flipboard.social
Toronto-based Taalas just emerged from stealth with a claim that’s shaking the hardware world: 17,000 tokens per second on Llama 3.1 8B.
How? By physically etching the AI model directly into the silicon transistors. No HBM. No liquid cooling. Just raw, hardwired performance that is 10x faster and 20x cheaper than traditional GPU inference.
https://www.buysellram.com/blog/17000-tokens-second-is-taalas-hardwired-silicon-the-ultimate-solution-to-the-ai-memory-wall-and-hbm-shortage/
The Breakthrough: Taalas has unveiled the HC1 chip, achieving a massive 17,000 tokens/second on Llama 3.1 8B. It is roughly 10x faster and 20x cheaper than traditional GPU inference.
The “Hardwired” Secret: Unlike GPUs that load software, Taalas etches the AI model directly into the silicon transistors. By physically embedding the weights, they eliminate the need for High-Bandwidth Memory (HBM).
Solving the Memory Wall: By removing the “data movement” between external memory and the processor, Taalas bypasses the industry’s biggest bottleneck—the Memory Wall—and operates entirely on standard air cooling.
The Trade-off: The chip is model-specific. While it offers “insane” efficiency for stable, high-volume production (like 24/7 chatbots), it lacks the programmability and flexibility of a GPU.
Market Impact: The rise of these specialized “Inference Factories” actually increases the long-term value of your GPUs. Because GPUs are versatile and can be repurposed for any new model, they remain the “Gold Standard” for resale and training.
Demo LLM: chat jimmy
#AI #ArtificialIntelligence #Hardware #Semiconductors #DataCenter #MemoryWall #HBMShortage #InferenceFactory #HardcoreAI #ASIC #Taalas #Llama3 #NVIDIA #technology
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India Tech 🇮🇳 AI News
@india@mastodonapp.uk
https://eickernews.com ᳇ your daily dose of India @technews & @media by @gerrit eicker®
mastodonapp.uk
HCLTech and Suchi Semicon have partnered to offer an integrated design-to-backend semiconductor solution: HCLTech brings design expertise and global customer access, while Suchi provides OSAT manufacturing in Gujarat. Unlike HCLTech's Foxconn venture, this partnership involves no equity participation. https://economictimes.indiatimes.com/tech/technology/hcltech-suchi-semicon-team-up-to-offer-semicon-solutions/articleshow/128825402.cms #India #Tech #News #Semiconductors #HCLTech
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India Tech 🇮🇳 AI News
@india@mastodonapp.uk
https://eickernews.com ᳇ your daily dose of India @technews & @media by @gerrit eicker®
mastodonapp.uk
Four of 10 semiconductor fabrication and packaging projects approved under India's Semiconductor Mission will begin production very soon, PM Modi has announced. Speaking at the groundbreaking of HCL-Foxconn's OSAT facility in Jewar, Modi said India strives to join top nations in providing processing power to the world. https://economictimes.indiatimes.com/tech/technology/four-semicon-units-to-begin-production-very-soon-says-pm-modi/articleshow/128678577.cms #India #Tech #News #Semiconductors #Manufacturing
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