Compare GPU options
GPU comparisons for local AI planning
Use these comparison pages to narrow a GPU shortlist by workload question: starter VRAM, 24 GB local LLM headroom, cross-vendor runtime risk, or image workflow capacity.
Comparison records may include planning drafts. Verify exact card variants, runtime requirements, and workload constraints before purchase.
How to use comparisons
Estimate VRAM first
Start with the calculator so your shortlist matches the memory range your model may need.
Check GPU profiles
Open individual GPU pages for source-backed specs and variant-specific caveats.
Compare planning specs
Use VRAM, bandwidth, power, and source confidence before treating any card as a fit.
Verify exact card
Board-partner values can differ, so verify the exact SKU before purchase.
Choose the comparison that matches your decision
Starter VRAM boundary
Use 12 GB versus 16 GB comparisons when a calculator result is close to the starter-card limit.
24 GB local LLM path
Use 24 GB comparisons after smaller cards no longer match the model, context, or runtime target.
Runtime compatibility risk
Use cross-vendor comparisons when CUDA, ROCm, drivers, or framework support may decide the outcome.
Image workflow headroom
Use image-focused comparisons when resolution, batch size, extensions, or precision may drive VRAM needs.
Available comparisons
Local LLM planning
Draft planning page
RTX 3060 12GB vs RTX 4060 Ti 16GB for AI
Use this comparison when the real question is whether an older 12 GB card is enough for a starter local AI workflow or whether a 16 GB card deserves validation before buying anything.
The pair separates a 12 GB older-generation option from a 16 GB newer-generation option, so the user can think about VRAM headroom without assuming newer always means better fit.
Local LLM planning
Compared GPUs: RTX 3060 12GB vs RTX 4060 Ti 16GB
- RTX 3060 12GB
- 12 GB VRAM | GDDR6 | 360 GB/s bandwidth
- RTX 4060 Ti 16GB
- 16 GB VRAM | GDDR6 | 288 GB/s bandwidth
Draft planning page
RTX 3090 vs RTX 4090 for Local LLM
Use this comparison when the capacity tier is already 24 GB and the user needs to think about bandwidth, power, architecture, and validation workflow instead of VRAM alone.
Both profiles sit at 24 GB, so the useful question shifts from capacity to bandwidth, power, generation, and runtime validation.
Local LLM planning
Compared GPUs: RTX 3090 vs RTX 4090
- RTX 3090
- 24 GB VRAM | GDDR6X | 936.2 GB/s bandwidth
- RTX 4090
- 24 GB VRAM | GDDR6X | 1008 GB/s bandwidth
Draft planning page
RX 7900 XTX vs RTX 4090 for AI
Use this comparison when the real decision is not 24 GB versus 24 GB, but whether your AI workflow is CUDA-first, whether ROCm support is mature enough for your stack, and how much setup risk you can tolerate before committing to local hardware.
The useful first answer is that a CUDA-first workflow should be validated on an NVIDIA path, while an AMD path needs explicit ROCm or alternative-runtime testing before specs are treated as enough.
Local LLM planning
Compared GPUs: RX 7900 XTX vs RTX 4090
- RX 7900 XTX
- 24 GB VRAM | GDDR6 | 960 GB/s bandwidth
- RTX 4090
- 24 GB VRAM | GDDR6X | 1008 GB/s bandwidth
Image workflow planning
Draft planning page
RTX 4080 Super vs RTX 4090 for Stable Diffusion
Use this comparison when image-generation planning has moved beyond starter GPUs and the user needs to decide whether 16 GB is enough or 24 GB headroom should be validated.
The comparison focuses on a 16 GB versus 24 GB planning jump for Stable Diffusion and related image-generation workflows.
Image workflow planning
Compared GPUs: RTX 4080 Super vs RTX 4090
- RTX 4080 Super
- 16 GB VRAM | GDDR6X | 736.3 GB/s bandwidth
- RTX 4090
- 24 GB VRAM | GDDR6X | 1008 GB/s bandwidth
Draft planning page
RTX 4070 Super vs RTX 4070 Ti Super for AI
Use this comparison when the user is deciding whether to stay in a 12 GB Ada card or move to a 16 GB Ada card before validating local AI or image workflow headroom.
The pair keeps the comparison inside a similar NVIDIA generation while changing the VRAM tier from 12 GB to 16 GB.
Image workflow planning
Compared GPUs: RTX 4070 Super vs RTX 4070 Ti Super
- RTX 4070 Super
- 12 GB VRAM | GDDR6X | 504 GB/s bandwidth
- RTX 4070 Ti Super
- 16 GB VRAM | GDDR6X | 672 GB/s bandwidth