Cloud Engine-Cost-effective AI GPU Rental Platform

 A100 pcie40G - $ 200/card/month;BMS:8*Ascend 910B $ 3000/month  8*4090D - $ 1000/month  8*4090 - $ 1200/month  8*A100 pcie40G - $ 1800/month  8*A100 pcie80G - $ 4000/month  8*A100 nvlink80G - $ 5400/month  8*A800 nvlink80G - $ 5400/month  8*H20 - $ 6000/month  8*L20 - $ 2000/month  8*L40 - $ 2400/month  8*L40S - $ 2500/month  8*H100 - $ 13000/month  8*H200 - $ 20000/month  8*B200 - $ 30000/month  8*B300 - $ 48000/month 

Global GPU Computing News【20260207】

  1. Record Tech Capex: Google, Amazon, Meta, and Microsoft plan a combined capital expenditure of approximately $650 billion for 2026, primarily for AI data centers and chips.

  2. Nvidia & Chip Market Growth: Driven by AI demand, Nvidia's stock saw a major single-day gain. The Semiconductor Industry Association forecasts 25.6% growth in global chip sales for 2025, with annual industry revenue expected to surpass $1 trillion.

  3. Rising Compute Costs: Due to a supply-demand imbalance, AWS raised AI compute rental prices for the first time in 20 years. Nvidia also made an additional $2 billion investment in the compute leasing firm CoreWeave.

  4. Large Domestic Cluster Online: Sugon launched the country's first domestic, large-scale AI computing cluster ("scaleX") with thirty thousand accelerator cards, capable of training trillion-parameter models.

  5. Specialized Domestic Chip: Xi Wang (spun off from SenseTime) released the "Qi Wang S3" chip focused solely on AI inference, using designs like LPDDR6 memory to pursue extreme inference cost-performance.

  6. Focus on Cutting Inference Cost: AI company Intellifusion outlined a strategy to reduce large-model inference costs by over 100 times through architectural innovation.

  7. Memory Shortage Affects GPU Launch: High-end memory shortages may cause Nvidia to delay the launch of its 2026 consumer gaming GPUs, breaking its annual update tradition.

  8. Broad Hardware Price Hikes: Samsung plans to raise prices for its 4nm and 8nm foundry services. Infineon also notified customers of price increases for some power semiconductors.

  9. Inference Architecture Shift: Nvidia released the Inference Context Memory Storage (ICMS) platform, treating KV Cache management as a separate system layer, indicating a bottleneck shift from computation to memory management.

  10. CPO Technology Gains Focus: To meet high-speed interconnect demands, Nvidia positioned Co-Packaged Optics (CPO) switches as a core component, highlighting their role in improving power efficiency and bandwidth density.

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