We burned 11.7 billion tokens to find out which AI models can actually find vulnerabilities. 10 models, three runs each, 32 freshly disclosed CVEs to rediscover.
Open weights won this round. DeepSeek V4 Pro found the most, 28 of 32, ahead of Opus 5, Grok 4.6, and Sol. Qwen,
Can you spot the difference? 👀
Speculative decoding helps accelerate generative AI at the edge, especially on NVIDIA Jetson.
Qwen 3.8 27B went from 13 to 35 tokens/sec, while Nemotron 3.5 Lightning went from 65 to 115.
See how it works: nvda.ws/3Upy0dY
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S3 compatibility keeps object storage familiar.
Buckets, objects, keys, and the workflows teams use to upload, retrieve, manage, and secure files remain consistent across development environments.
With AIOZ Storage, developers can work with S3-compatible clients, APIs, SDKs,
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