{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "justaresearcher-gpu-unlock-ada--benchmark-stock-vs-unlocked-tensor-throughput",
 "repo": "JustAResearcher/gpu-unlock-ada",
 "repo_url": "https://github.com/JustAResearcher/gpu-unlock-ada",
 "repo_slug": "justaresearcher-gpu-unlock-ada",
 "title": "Benchmark stock vs unlocked tensor throughput",
 "page_title": "How to benchmark stock vs unlocked tensor throughput with GPU Unlock Ada",
 "summary": "Run matched stock and unlocked measurements so you know what the unlock does for your card and workload.",
 "who": "A developer who saw the viral 2x claim and wants numbers from their own GPU before relying on it.",
 "problem": "Headline TFLOPS come from one card and instruction benchmarks, not whole applications.",
 "outcome": "A matched before and after comparison on the same kernel, driver and power cap.",
 "steps": [
  "Measure stock throughput first, using the CUDA instruction benchmark in diagnostics/bench and one real workload of yours",
  "Note your kernel, driver version and power cap, and keep all three the same for both runs",
  "Enable the unlock with `gpu_unlock.targets=` and power off and on",
  "Confirm the `gpu_unlock: unlocked` line, then rerun the same benchmarks",
  "Compare FP16, BF16, INT8 and FP32 results against the testing guide in docs/testing.md"
 ],
 "agent_prompt": "Using JustAResearcher/gpu-unlock-ada on <my GPU>, run the diagnostics/bench instruction benchmark and <my workload> in stock mode, then again after a cold boot with the unlock enabled, with the same kernel, driver and power cap. Report a before and after table and confirm the kernel log shows `gpu_unlock: unlocked`.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1 hour 30 minutes",
 "basis": "readme",
 "caveat": "Results so far are single runs on single cards with no extended stability test; INT8, dp4a and scalar FP32 stayed near baseline.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "c",
 "requirements": [
  "A Linux machine you fully control, with a spare stock boot entry to fall back to",
  "RTX 4090 (10de:2684); RTX 4070 Ti SUPER (10de:2705) and RTX 4060 Ti 16GB (10de:2805) are experimental and validated on one card each",
  "Kernel headers and a working DKMS toolchain, with CONFIG_CRYPTO_LIB_SHA256 in the kernel",
  "The stock NVIDIA driver",
  "Secure Boot turned off, or the out-of-tree module signed with your own key",
  "Your own stock benchmark numbers taken before you enable it"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "reverse-engineering",
   "notice": "The unlock runs a payload derived from published analysis of NVIDIA's debug booter and changes GPU register state from a kernel module before the driver loads. It is unofficial, unsupported by NVIDIA, may void your warranty, and has been validated on very few cards."
  }
 ],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/justaresearcher-gpu-unlock-ada/benchmark-stock-vs-unlocked-tensor-throughput/",
 "md": "https://dedupedai.com/use-cases/justaresearcher-gpu-unlock-ada/benchmark-stock-vs-unlocked-tensor-throughput/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/justaresearcher-gpu-unlock-ada--benchmark-stock-vs-unlocked-tensor-throughput.json",
 "api_version": "v1"
}