Nvidia B300 Servers Hit $1 Million in China Amid US Export Crackdown

Nvidia’s advanced B300 AI servers are now reportedly selling for nearly $1 million each in China, almost double their U.S. price, as tighter American export restrictions and anti-smuggling enforcement create severe supply shortages. According to industry sources, the scarcity has transformed the B300 into one of China’s most expensive and sought-after AI computing assets.

The B300, equipped with eight GPUs and designed for high-performance AI inference, normally costs around $550,000 in the United States. In China, however, prices have surged to roughly 7 million yuan due to shrinking grey-market channels and rising demand from major Chinese technology firms racing to expand AI model deployment.

China’s growing need for AI infrastructure is accelerating the premium. Local firms are under pressure to secure hardware capable of efficiently processing tokens, a key monetization factor for generative AI systems. At the same time, many companies are cautious about directly owning restricted Nvidia systems because of potential exposure to U.S. sanctions.

The market disruption intensified after U.S. legal action against individuals tied to Nvidia partner Supermicro, further constraining unofficial supply routes. As a result, some Chinese companies are shifting from direct purchases to rentals, with monthly leasing costs reaching as high as 190,000 yuan.

This environment is also creating strategic opportunities for domestic rivals such as Huawei, which aims to capture market share as uncertainty around Nvidia’s H200 and B300 exports continues. Despite sanctions, Nvidia still holds a dominant position in China’s AI chip market, but prolonged restrictions may accelerate local alternatives and reshape competitive dynamics.

Amazon Expands Fast Delivery Network in India With New Micro Warehouses Across Additional Cities

Retail India News: Amazon India Expands Operations to Strengthen Festive  Season Deliveries - Indian Retailer

Amazon is significantly expanding its quick commerce footprint in India with the wider rollout of its 10-minute delivery service, Amazon Now. The service, which was earlier limited to a few major cities, is now being extended to 100 cities across the country as part of the company’s aggressive push into ultra-fast delivery.

Amazon Now operates through a network of micro-fulfilment centres (MFCs) located within local neighbourhoods. These compact warehouses are designed to store high-demand everyday items such as groceries, personal care essentials, fashion accessories, beauty products, and small household appliances, enabling rapid order processing and delivery.

With this expansion, Amazon is increasing its infrastructure by setting up around 1,000 micro-fulfilment centres to support faster logistics and wider coverage. The company also claims that this move will benefit over 16,000 farmers by helping them reach customers directly through sellers on its platform, strengthening its supply chain ecosystem.

The service will now be available in cities such as Kochi, Pune, Hyderabad, Chennai, Kolkata, Jaipur, Lucknow, and Ahmedabad, in addition to existing metro regions like Mumbai, Delhi-NCR, and Bengaluru. Users can access the feature through the Amazon app by looking for the “Now” icon, which indicates availability in their area, positioning Amazon in stronger competition with players like Blinkit, Swiggy Instamart, and Zepto.

Qualcomm Shares Surge on AI and Smartphone Recovery Outlook

Qualcomm shares climbed more than 13% after investors responded positively to CEO Cristiano Amon’s confidence in a coming rebound for the smartphone market and the company’s aggressive push into AI and data center chips. Despite issuing a weak third-quarter forecast, Qualcomm’s broader growth narrative centered on diversification beyond traditional smartphone dependency helped restore investor confidence.

The company, historically reliant on handset chip sales, is expanding into high-growth sectors including data center processors, AI accelerators, ASIC chips, and autonomous vehicle technology. Qualcomm plans to begin shipping data center products before year-end, signaling a major strategic shift as smartphone manufacturers face rising memory prices and weaker consumer demand.

Qualcomm’s long-term challenge remains Apple’s move toward in-house modem chips, which could reduce Qualcomm’s component share after their licensing agreement ends in 2027. Analysts note this creates pressure on Qualcomm’s smartphone business, especially as Apple and Samsung dominate premium markets.

Still, investor sentiment improved as Qualcomm’s AI ambitions and broader semiconductor strategy overshadowed concerns about near-term smartphone weakness. Reports linking Qualcomm and MediaTek to an OpenAI-focused AI smartphone project further fueled optimism. Following earnings, at least 14 brokerages raised their price targets, reflecting confidence that Qualcomm’s transition into AI infrastructure and enterprise chips could offset future handset risks.