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Gemini Executive Synthesis

GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies.

Technical Positioning
Ensuring accurate hardware identification and compatibility for the GPU unlock solution across different variants of the same GPU model. The goal is to support all relevant 16GB RTX 4060 Ti cards.
SaaS Insight & Market Implications
This issue reveals a critical challenge in hardware-level modifications: the variability of PCI IDs for seemingly identical GPU models. Users are encountering situations where their hardware, despite matching specifications (e.g., RTX 4060 Ti 16GB), is not recognized by the unlock tool due to differing internal identifiers. This fragmentation complicates broad compatibility and requires meticulous mapping of hardware variants. The user's detailed report and willingness to provide diagnostics highlight the technical sophistication of the target audience and their commitment to enabling full GPU functionality. For developers, this means robust identification mechanisms are paramount, and a flexible approach to adding new device IDs is necessary to capture the full market of potential users. The pain point is the inability to apply a desired modification due to specific hardware ID mismatches.
Proprietary Technical Taxonomy
GPU tensor unlock RTX 4060 Ti AD106 PCI ID 10de:2803 10de:2805 VRAM: 16380 MiB nvidia-smi BAR1 16G

Raw Developer Origin & Technical Request

Source Icon GitHub Issue Oct 25, 2026
Repo: JustAResearcher/gpu-unlock-ada
RTX 4060 Ti with 16 GB reports 10de:2803 (not 2805) - AD106 target not matched

Hardware / software
- GPU: GeForce RTX 4060 Ti (AD106), PCI ID 10de:2803 rev a1
- Subsystem: MSI 1462:5174
- VRAM: 16380 MiB per nvidia-smi, BAR1 16G (Resizable BAR on)
- VBIOS: 95.06.34.00.59
- Driver: NVIDIA 615.71.09
- Host: Proxmox VE, kernel 7.0.14-19-pve, UEFI, GRUB via proxmox-boot-tool
- Single NVIDIA GPU at 0000:10:00.0, not driving a display

Observation
docs/ada-2805-report.md covers the 16 GB board as 10de:2805. Mine is a 16 GB
board that reports 10de:2803. In kernel/gpu_unlock the AD106 path is keyed to
GU_AD106_RTX_4060_TI_16GB (0x2805) in main.c and unlock_610.c, so as far as I
can tell the module would skip this card.

Questions
1. Do 16 GB boards with ID 2803 exist in your data, or is this an outlier?
2. Would you consider adding 2803 for 16 GB boards, or would you want more
evidence first (e.g. a read-only readback of the speed selectors)?
3. If useful, which read-only outputs (diagnostics/peek etc.) should I collect
before any write attempt?

Happy to report back after testing, if you tell me what you want to see.

Developer Debate & Comments

No active discussions extracted for this entry yet.

Adjacent Repository Pain Points

Other highly discussed features and pain points extracted from JustAResearcher/gpu-unlock-ada.

Extracted Positioning
GPU tensor unlock for future NVIDIA GPUs (RTX 5090).
Future-proofing and anticipating compatibility with next-generation NVIDIA hardware.
Extracted Positioning
GPU tensor unlock for RTX 4090 Laptop GPU (AD103M).
Extending compatibility to high-end mobile GPUs, specifically the RTX 4090 Laptop, which uses a different die (AD103M) than its desktop counterpart.
Extracted Positioning
GPU tensor unlock for RTX 4070 Ti SUPER with device ID 10de:2689 (AD104 die).
Expanding compatibility to different silicon variants (dies) of the same GPU model, specifically distinguishing between AD104 and AD103 for the RTX 4070 Ti SUPER.
Extracted Positioning
Successful GPU tensor unlock for RTX 4070 Super on Windows.
Validating the effectiveness and compatibility of the GPU unlock solution on a specific GPU model (RTX 4070 Super) and operating environment (Windows with UEFI booting).
Extracted Positioning
GPU tensor unlock for NVIDIA Ada Lovelace architecture GPUs. Specifically, extending support to the RTX 6000 Ada (AD102GL).
Expanding hardware compatibility for the GPU unlock solution beyond the initially supported RTX 4090 and experimental RTX 4070 Ti SUPER.

Frequently Asked Questions

Market intelligence mapped to GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies..

What problem does GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies. solve?
Based on our AI analysis of the original developer request, its primary technical positioning is: Ensuring accurate hardware identification and compatibility for the GPU unlock solution across different variants of the same GPU model. The goal is to support all relevant 16GB RTX 4060 Ti cards.
What is the general sentiment around GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies.?
Yes, we have tracked 3 direct responses and active debates regarding this specific topic originating from GitHub Issue.
What architecture is tied to GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies.?
Our proprietary extraction maps GPU tensor unlock for RTX 4060 Ti 16GB, specifically addressing PCI ID discrepancies. to adjacent architectural concepts including GPU tensor unlock, RTX 4060 Ti, AD106, PCI ID 10de:2803.

Engagement Signals

3
Replies
open
Issue Status

Cross-Market Term Frequency

Quantifies the cross-market adoption of foundational terms like kernel and GPU tensor unlock by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.