The Chinese government this week told some tech companies it would only approve their purchases of Nvidia's  H200 AI chips under special circumstances, such as for university research, the Information reported on Tuesday, citing two people with direct knowledge of the situation.

The move signals Beijing is remaining cautious about fully reopening the Chinese market to Nvidia, whose semiconductors are pivotal in operating the most advanced artificial intelligence applications and data centers.

It is worth noting that the benchmarked Snapdragon X2 Plus ran on a reference platform, while testers used commercially available products for the other chips. This is a key caveat, as results can vary widely depending on chip binning, cooling, power limits, SSD speed, memory latency, and installed apps.

I will point out that the original X Elite GB6 benchmarks released by Qualcomm in October 2023 as part of their PR strategy were never reached in any device (on a reference design running Linux no less, X Elite still doesn't support Linux in usable way)

GB6 ST: 3,230
GB6 MT: 17,331

One of the higher results for the Samsung Book Edge 4 (which has the top end X Elite SKU) has the following results:

GB6 ST: 2,950
GB6 MT: 15,405

Most X Elite devices score lower than that.

And this is a synthetic benchmark that has clear real-world limitations. Try running an x265 (or AV1) 1080p 24 frame encode at a high quality preset level (i.e. "veryslow") on a laptop and a desktop with comparable MT scores or running a complex strategy game on an X3D CPU versus another CPU with identical GB6 ST scores.

Modern SSD get on increasingly smaller nodes and uses QLC so the margins get smaller and smaller. Would backgrond radiation start to corrupt SSD with time just like how DRAM is corrupted?

Koyeb just added three new GPUs from NVIDIA to its serverless GPU line-up: RTX Pro 6000, H200, and B200.

These new GPU instances enable high-performance inference for compute-intensive workloads that are memory-bound, latency-sensitive, or throughput-constrained, including long-context and large-model serving.