NVIDIA is a semiconductor company best known for its GPUs, which are the primary compute hardware for training and running AI models. Its H100 and A100 chips power the majority of AI data centers worldwide.
OpenAI engineers cut inference costs for guest ChatGPT users by more than half, reducing the number of Nvidia GPUs needed to just a few hundred, according to a person familiar with the discussions. Th…
Etched emerged from stealth with a working chip, $800 million raised, and over $1 billion in signed customer contracts, pivoting from a transformer-specialized ASIC to a full-stack inference systems c…
Nvidia dominates AI training hardware, but the inference market is wide open as companies like Cerebras, Groq, d-Matrix, Etched, and Taalas challenge Nvidia's GPU-based approach by designing chips opt…
Three high-performance computing experts—Jack Dongarra, Torsten Hoefler, and Satoshi Matsuoka—are questioning the necessity of GPUs in AI and scientific computing in a forthcoming paper, prompted by t…
OpenAI unveiled Jalapeño, a custom inference ASIC co-designed with Broadcom and manufactured by TSMC, aiming for 50% lower inference cost per token than Nvidia GPUs. Production is planned for 2027, wi…
AI token costs have dropped 600-fold in six years, yet companies are burning through annual AI budgets in a single quarter due to increased demand and more complex agent architectures. Nvidia CEO Jens…
Meituan trained its 1.6 trillion parameter LongCat-2.0 AI model entirely on Chinese chips, demonstrating China's ability to develop large-scale AI without Nvidia hardware.…
OpenAI has reduced its inference costs by roughly 50% through a new optimization technique, addressing a major financial challenge as inference spending threatens to reach billions annually. The cost …
AI chip startup Etched disclosed that quantitative trading firm Jane Street and a TSMC-linked venture firm are among its backers, signaling confidence in its transformer-specific chip. The company, wh…
AI chip startup Etched raised $800 million and secured $1 billion in sales contracts for its Sohu ASIC, a transformer-specific chip that claims to outperform Nvidia's H100. The company, founded in 202…
A study by Ramp and Revelio Labs found that companies spending the most on AI are hiring faster, including entry-level roles, challenging the narrative that AI causes mass layoffs. The research tracke…
Nvidia is hiring for over 12 robotics and AI positions in China, focusing on its Omniverse platform and humanoid robotics, despite US export tensions. The company partnered with Unitree Robotics in Ju…
The IMF, BIS, and Bank of England have warned that leveraged AI investments pose systemic financial risks beyond inflated valuations. Record margin debt and leveraged ETF growth have created condition…
Wall Street opened slightly higher on Tuesday, with the S&P 500 and Nasdaq both up 0.1%, while the Dow Jones fell 0.2% after hitting a record high on Monday. UBS warned that concerns over the sustaina…
Companies are deliberately making their AI tools speak like cavemen to reduce token consumption and curb soaring AI costs, according to 404 Media. The 'caveman' plugin, created by Julius Brussee, cuts…
Nvidia is expanding its robotics team in China, recruiting for over a dozen roles across Beijing, Shanghai, and Shenzhen to advance physical AI and accelerate the deployment of autonomous machines fro…
AMD, Broadcom, Meta, Microsoft, Nvidia, and OpenAI formed the Optical Compute Interconnect Multi-Source Agreement to standardize co-packaged optics for AI scale-up networks, settling on a slow-and-wid…
Nvidia canceled a planned quad-die version of its Rubin Ultra AI accelerator, shifting to a dual-die design due to manufacturing execution concerns. The change moves from highly integrated CoWoS-L pac…
Anthropic, the AI company behind Claude, confidentially filed a draft Form S-1 with the SEC on June 1, 2026, setting the stage for a potential public offering in late 2026. The company's valuation app…
Meituan launched LongCat-2.0, a 1.6-trillion-parameter AI model trained entirely on domestically developed chips, claiming it as the first of its scale to achieve end-to-end training on Chinese silico…