Single-card profile: read the RTX 4070 SUPER 12GB local-AI guide for capacity-first model fit.
Single-card profile: read the RTX 4070 Ti SUPER 16GB local-AI guide for capacity-first model fit.
Single-card profile: read the RTX 4080 SUPER 16GB local-AI guide for capacity-first model fit.
Use this local-AI GPU comparison directory when you already know the two hardware paths you need to separate. Start with memory fit and software support, then compare the complete system. Published capacity, bandwidth or AI TOPS alone does not establish local-LLM speed.
Choose the comparison family
- 12GB–32GB desktop GPUs: compare generation, capacity, power and used-card risk.
- 32GB–96GB workstation/server GPUs: separate active workstation cards from passive accelerators, ECC, NVLink and software support.
- Compact high-memory systems: compare dedicated VRAM with unified system memory and x86 with Arm64 or Metal/MLX.
- 80GB–288GB data-center accelerators: verify form factor, host, cooling, partitioning and complete deployed cost.
Consumer and desktop GPU comparisons
| Comparison | Decision it isolates |
|---|---|
| RTX 3060 12GB vs RTX 4060 Ti 16GB vs RTX 5060 Ti 16GB | 12GB versus 16GB and two newer generations |
| RTX 4060 Ti 16GB vs RTX 5060 Ti 16GB | Same capacity, Ada versus Blackwell |
| RTX 5060 Ti vs RTX 5070 Ti 16GB | Same capacity, different performance and power tier |
| RTX 5070 Ti vs RTX 5080 16GB | Same 16GB ceiling, upper-tier Blackwell tradeoffs |
| RTX 3090 vs RTX 4090 vs RTX 5090 | Used 24GB, newer 24GB and 32GB desktop paths |
| Mac Studio vs RTX 5090 | Unified memory and Metal/MLX versus dedicated CUDA VRAM |
| RTX 5090 vs RTX A6000 | 32GB newer consumer GPU versus used 48GB workstation GPU |
| RTX 5090 vs RTX 6000 Ada | 32GB Blackwell versus 48GB Ada workstation capacity |
| RTX 5090 vs RTX PRO 6000 Blackwell | 32GB consumer versus 96GB professional Blackwell |
Workstation and server GPU comparisons
- A40 vs RTX A6000 · RTX A6000 vs RTX 6000 Ada · A40 vs RTX 6000 Ada
- A40 vs L40S · L40S vs RTX 6000 Ada
- A40 vs A100 · RTX A6000 vs A100 · RTX 6000 Ada vs A100 · L40S vs A100
- A40 vs H100 · RTX A6000 vs H100 · RTX 6000 Ada vs H100 · L40S vs H100
- RTX PRO 6000 Blackwell vs H100
DGX Spark and compact-system comparisons
| Comparison | Core boundary |
|---|---|
| DGX Spark vs RTX 3090 | 128GB shared Arm system versus used 24GB x86 GPU |
| DGX Spark vs RTX 4090 | 128GB shared Arm system versus newer 24GB x86 GPU |
| RTX 5090 vs DGX Spark | 32GB dedicated VRAM versus 128GB shared memory |
| DGX Spark vs RTX PRO 6000 Blackwell | 128GB shared Arm system versus 96GB dedicated x86 workstation GPU |
| DGX Spark vs Mac Studio | CUDA on Arm Linux versus Metal/MLX on Apple silicon |
| DGX Spark vs A100 · vs H100 · vs H200 | Compact complete system versus qualified data-center deployment |
Data-center and frontier accelerator comparisons
- A100 vs H100 · H100 vs H200 · H200 vs B200
- H100 vs B200 · B200 vs B300 · H100 vs H200 vs B200 vs B300
- AMD MI300X vs NVIDIA H200 · MI325X vs B200 · B300 vs MI355X
- MI300X vs MI325X vs MI350X vs MI355X · MI350X vs MI355X
How to use a comparison without fooling yourself
- Verify the exact model repository, revision, quantization and projector or adapter.
- Calculate weights, KV cache, runtime workspace, context, batch and concurrency—not just parameter count.
- Confirm the runtime supports the exact GPU architecture, operating system and CPU architecture.
- Separate dedicated VRAM, shared unified memory and aggregate multi-GPU memory.
- Compare complete deployable systems, including host, cooling, power, storage, warranty and return terms.
- Use matched benchmark records for speed; specifications establish constraints, not measured rankings.
Continue with tools and evidence
- Estimate memory and build a hardware shortlist
- Define a repeatable workload test
- Inspect the benchmark database or build a reproducible benchmark record
- Check screened offers or stage a private market watchlist
Scope
This directory organizes HighVRAM’s evidence-first hardware comparisons. It does not claim that every listed pair has equal software support, form factor, power scope or purchase boundary. Individual guides cite the applicable manufacturer and model sources. Reviewed October 25, 2026.
Before ranking a pair: use the AI TOPS, VRAM and bandwidth guide to separate peak specifications from matched benchmark evidence.
Same-capacity consumer versus workstation path: compare RTX 5090 with RTX 5000 Ada at 32GB, including ECC, power, cooling, support and exact model-fit boundaries.
Entry-tier comparison: RTX 4060 8GB vs RTX 5060 8GB for local AI separates equal model capacity from platform, power and software-generation differences.
Entry Ada product path: review the RTX 4060 8GB local-AI guide before comparing it with RTX 5060 or moving to 12GB/16GB.
Entry Blackwell product path: review the RTX 5060 8GB local-AI guide before comparing it with RTX 4060 or moving to 12GB/16GB.
12GB Blackwell product path: review the RTX 5070 12GB local-AI guide before comparing it with RTX 3060 or moving to 16GB.
Cross-tier Blackwell comparison: RTX 5070 12GB vs RTX 5060 Ti 16GB isolates higher compute tier versus four additional gigabytes.
Same-family Blackwell comparison: RTX 5060 Ti 8GB vs 16GB isolates the model-fit cost of halving device memory while the published platform specifications stay aligned.
Same-family Ada comparison: RTX 4060 Ti 8GB vs 16GB isolates the model-fit cost of halving device memory while the published compute platform stays aligned.
Same-family Ampere comparison: RTX 3060 8GB vs 12GB isolates both the capacity and 128-bit/192-bit interface differences hidden by the shared product name.
Capacity versus generation: compare RTX 3060 12GB vs RTX 4060 8GB for local AI without inferring a winner from architecture, cores or board power.
Capacity versus Blackwell: compare RTX 3060 12GB vs RTX 5060 8GB for local AI without inferring a winner from architecture, memory generation or bandwidth.
RTX 5080 16GB vs RTX 5090 32GB
Compare the Blackwell capacity fork through exact 32B artifact margins, matched workload placement, 360W-versus-575W reference power and complete-system cost.
RTX 4090 24GB vs RTX 5080 16GB
Compare older Ada capacity with newer Blackwell support through exact 14B/32B boundaries, condition, power and controlled workload placement.
For the direct 24GB-versus-32GB flagship decision, Read the RTX 4090 vs RTX 5090 comparison for official platform specifications, exact Qwen2.5-32B file-fit boundaries and matched-test controls.
For the direct used-24GB-versus-current-32GB decision, read the RTX 3090 vs RTX 5090 comparison for official platform specifications, exact Qwen2.5-32B file-fit boundaries, used-card safeguards and matched-test controls.
For the direct used-24GB-versus-current-16GB decision, Read the RTX 3090 vs RTX 5080 comparison for official specifications, exact 14B and 32B file-fit boundaries, used-card safeguards and matched-test controls.
Adding a consumer AMD 24GB option to the shortlist? Read the RX 7900 XTX local-AI guide before comparing it with CUDA cards: capacity fit and software compatibility are separate gates.
New same-capacity cross-platform comparison: Read RX 7900 XTX 24GB versus RTX 3090 24GB for official specifications, identical 32B file-fit margins and reproducible ROCm-versus-CUDA controls.
New same-capacity flagship comparison: Read RX 7900 XTX 24GB versus RTX 4090 24GB for official specifications, identical 32B file margins and reproducible cross-backend controls.
Comparing 24GB Radeon against 32GB Blackwell? Use the RX 7900 XTX vs RTX 5090 local-AI comparison for exact 32B file margins, ROCm/CUDA checks, power planning and matched benchmark controls.
Choosing between 24GB Radeon capacity and a 16GB Blackwell CUDA path? Use the RX 7900 XTX vs RTX 5080 local-AI comparison for exact 32B file margins, software checks, power planning and matched benchmark controls.
Choosing between 24GB Radeon capacity and a 16GB Ada CUDA path? Use the RX 7900 XTX vs RTX 4080 SUPER local-AI comparison for exact 32B file margins, software checks and matched benchmark controls.
Choosing between 24GB Radeon capacity and a 16GB Ada CUDA path? Use the RX 7900 XTX vs RTX 4070 Ti SUPER comparison for exact 32B margins, software checks, power and matched-test controls.
Choosing an AMD path across consumer, workstation and data-center hardware? Use the Best AMD GPU for Local AI guide to compare 24GB through 288GB capacity, physical deployment and ROCm validation gates.
Considering Intel Arc Pro for local AI? Use the Best Intel GPU for Local AI guide to compare B50, B60, B65 and B70 across 16GB, 24GB and 32GB capacity, deployment and oneAPI/OpenVINO/SYCL support gates.
Evaluating Intel Arc Pro B60 24GB? Read the Arc Pro B60 local-AI guide for exact Qwen2.5-32B file margins, official board specifications, Intel software gates and a reproducible test checklist.
Evaluating Intel Arc Pro B70 32GB? Read the Arc Pro B70 local-AI guide for exact 32B file margins, official board specifications, current SYCL caveats and output-correctness controls.
Compare a compact Intel path: the Arc Pro B50 16GB guide separates capacity, software compatibility and measured performance.
Compare an Intel 32GB path: the Arc Pro B65 guide separates capacity, partner design, host-memory behavior, software compatibility and measured performance.
Same-capacity Intel comparison: Arc Pro B65 vs B70 separates the shared 32GB fit ceiling from compute, board, power and software evidence.
Intel capacity comparison: Arc Pro B50 vs B60 separates the 16GB/24GB fit boundary from power, board and software evidence.
Same-compute Intel comparison: Arc Pro B60 vs B65 separates the 24GB/32GB capacity and memory-system change from measured performance.
Intel versus NVIDIA at the same capacity: Compare Arc Pro B60 24GB with RTX 3090 24GB for software, power and lifecycle tradeoffs.
Same-capacity cross-platform comparison: Compare Intel Arc Pro B70 32GB with GeForce RTX 5090 32GB by software support, power, system requirements and matched workload evidence.
Make this a repeatable check
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Same-capacity cross-platform comparison: Compare Intel Arc Pro B60 24GB with GeForce RTX 4090 24GB by software support, power, system requirements and matched evidence.