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Dgx Spark

Benchmarking the Security of Open-Weight Models, Part 5: Automated Red-Teaming with NVIDIA Garak
Benchmarking the Security of Open-Weight Models, Part 5: Automated Red-Teaming with NVIDIA Garak

A scanner’s hit rate is a lead, not a measure of risk: most of what garak flagged against Qwen 3.8 was its own detectors mis...

2026/10/13

Benchmarking the Security of Open-Weight Models, Part 3: The Harness Around the Model
Benchmarking the Security of Open-Weight Models, Part 3: The Harness Around the Model

Parts 1 and 2 benchmarked whether Qwen 3.8 is safe to deploy. This piece asks a different question: once that same model is wired ...

2026/10/02

Benchmarking the Security of Open-Weight Models, Part 2: A Local Stack on DGX Spark (with Qwen 3.8 as a Case Study)
Benchmarking the Security of Open-Weight Models, Part 2: A Local Stack on DGX Spark (with Qwen 3.8 as a Case Study)

Part 1 made the case that security benchmarking is a discipline distinct from capability benchmarking. This installment puts it in...

2026/09/28

Cracking Passwords at AI Speed: Digital Forensics on Grace Blackwell and Unified Memory
Cracking Passwords at AI Speed: Digital Forensics on Grace Blackwell and Unified Memory

Apple’s mode 14800 backup KDF is a sequential, memory-latency-bound workload that discrete GPUs handle badly. On a DGX Spark...

2026/03/20

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