SaaS Metrics
Gemini Executive Synthesis
Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs.
Technical Positioning
gpu-unlock aims to provide performance unlocking for a broader range of NVIDIA consumer GPUs, moving beyond the initial GA102/GA104 focus.
SaaS Insight & Market Implications
This issue represents a strategic initiative to expand `gpu-unlock`'s market reach by supporting newer NVIDIA architectures, specifically AD103 (RTX 4080 SUPER). The offline research provides strong evidence that AD103 utilizes the same AD102 Booter archive, suggesting a high degree of compatibility at the firmware level. This significantly reduces the technical barrier for porting, as core unlocking mechanisms might be reusable. The developer's request for 'guidance on a responsible port' and emphasis on 'validation' indicates a methodical approach to expansion, prioritizing stability and correctness. Market implications are substantial: extending support to the 40-series GPUs unlocks a new generation of hardware for performance enhancement, broadening the user base and maintaining relevance in a rapidly evolving GPU market. This proactive investigation is critical for long-term product viability.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
GitHub Issue
Oct 22, 2026
Repo: Zagitta/gpu-unlock
AD103 / RTX 4080 SUPER support: offline Booter evidence and remaining validation gates
I am investigating whether this project's tensor speed-select unlock could be ported to an RTX 4080 SUPER (AD103, PCI ID `10de:2702`). I have **not** run an unlock or modified the GPU. This is a request for guidance on a responsible port, not a request to add the PCI ID to the supported list without an AD103 payload and validation.
The [current README](github.com/Zagitta/gpu-unloc... limits the implementation to GA102/GA104. In offline research, I found:
- NVIDIA's [610.43.03 AD103 host dispatch](github.com/NVIDIA/open-gpu-k... selects the stock AD102 Booter archive. Linux Nouveau also [declares the 570.144 Booter for AD103](github.com/torvalds/linux/bl...
- I compared the unpacked `booter_load-570.144.bin.xz` stock container with NVIDIA's [610.43.03 generated AD102 archive](github.com/NVIDIA/open-gpu-k... The Production image, header, signature table, and four other archive fields match byte for byte. `IMAGE_PROD` SHA-256: `83e06ccd394eb73ab9e599a6db23be01e0df307d3ec4cfd64fa9499837a402da`; `SIG_PROD` table SHA-256: `11d6c63d7cbcf60f9d2d3cf1a1ea3f248b718fc99...
Developer Debate & Comments
I've seen some other reports that supposedly it works for AD102 as well but I don't have a card to test on myself. I'm happy to expand the allowed device IDs to AD102 as well if I see concrete evidence it works like boot logs with the driver output as well as benchmarks with before/after numbers. That said it's of course all on your own risk 😄 It _should_ be relatively safe and at worst just fail to boot
This would be definetly also interesting for 4070 Ti Super, as it also uses the AD103. I have this GPU here, so I could test this if somebody gives me a small guide on what to modify and what tests/benchmarks should be done.
Re-posting here rather than as a separate issue, since AD10x support was already discussed in this thread. Three AD106 cards (RTX 4060 Ti, `10de:2803`), cold boot, no driver bound, `driver=`, `state=0`. The throttle block is present and decodes at the GA10x addresses: `FEAT_OVR_PLM 0x00823804` reads `ffffff8f` on all three, the same value as every Ampere part; `FEATURE_READOUT_1 0x00823818` reads `00410080` on all three; `SS0` is per-die (`04022036`, `17150016`, `15324120`) with no nibble >= 8; and the consumer fuse tier is programmed (`FMLA32 = 1`, `IMLA4 = 1`, master-kill fuse `0x008203f0 = 0`, so it is not blown). What makes it a port rather than a line: **no host write lands.** Writing `0xffffffff` to `0x00823804` reads back `ffffff8f`. Writing `0x88888888` and `0x8` to `SS0`/`SS1` reads back the stock per-die values. `0x00823818` never moves. Every value was restored afterwards. On GA10x the selectors are PL0-writable, which is what makes this module's own two host writes ...
@mongoled Absolutely willing to contribute. If you can send me the probe module and a short HowTo with the necessary steps to get a clean reading, i will asap run the tests.
@mongoled seems the issue is that the `FEAT_OVR_PLM` write isn't sticking which causes the SS0 and SS1 writes to not be PL0 writable. To me that indicates something is behaving differently in SEC2 on Ada 🤔 Regarding decrypted booter firmware you can search around for the other CMP 170hx/90hx/50hx repos, they should have more info
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from Zagitta/gpu-unlock.
fc83321 fails to unlock 2x RTX 3090 (GSP HALTED wait, WPR2 end check, SEC2 PRI error); c274e74 works
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Extracted Positioning
gpu-unlock module's core unlocking mechanism, specifically related to GSP (GPU System Processor) state handling and memory region validation.
gpu-unlock aims to reliably unlock FP/BF16 performance on Nvidia 3000 series GPUs across various system configurations.
Extracted Positioning
gpu-unlock module loading order and conflict resolution with NVIDIA's proprietary driver within Ubuntu's `initramfs-tools`.
gpu-unlock aims for seamless integration and successful unlocking on various Linux distributions, requiring precise control over kernel module loading.
Extracted Positioning
gpu-unlock compatibility and performance on Arch Linux with RTX 3070, including numerical parity and S3 suspend analysis.
gpu-unlock aims to reliably unlock FP/BF16 performance on Nvidia 3000 series GPUs across various Linux distributions, ensuring stability and numerical accuracy for AI workloads.
Extracted Positioning
gpu-unlock compatibility and performance on CachyOS with RTX 3080, including initramfs integration.
gpu-unlock aims to provide reliable FP16/BF16 performance unlocking on Nvidia 3000 series GPUs across various Linux distributions, ensuring bit-identical outputs.
Extracted Positioning
gpu-unlock compatibility and performance within virtualized environments using PCI passthrough.
gpu-unlock aims to extend its FP/BF16 performance unlocking capabilities to virtualized GPU setups, specifically Proxmox VMs with `vfio-pci` passthrough.
Frequently Asked Questions
Market intelligence mapped to Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs..
What is the technical positioning of Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs.?
Based on our AI analysis of the original developer request, its primary technical positioning is: gpu-unlock aims to provide performance unlocking for a broader range of NVIDIA consumer GPUs, moving beyond the initial GA102/GA104 focus.
What is the general sentiment around Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs.?
Yes, we have tracked 19 direct responses and active debates regarding this specific topic originating from GitHub Issue.
What are the foundational technologies related to Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs.?
Our proprietary extraction maps Extending gpu-unlock's tensor speed-select unlock to NVIDIA AD103 (RTX 4080 SUPER) GPUs. to adjacent architectural concepts including AD103 / RTX 4080 SUPER support, tensor speed-select unlock, PCI ID 10de:2702, responsible port.
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like header and AD103 / RTX 4080 SUPER support by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.