PRO W6800 vs RX 9070 GRE for local AI

VRAM, bandwidth, gfx

Which 35B quants fit

Qwen3.6-35B-A3B on llama.cpp, f16 KV. Totals are calculator estimates. Speed is measured only on the R9700 cells that already exist; everything else stays not measured. UD-Q3_K_XL is always a labeled estimate.

Weights file Estimate: total_params × 6.56 bpw (nominal GGUF Q6_K; UD-Q6_K_XL uses the same bucket) / 8. Active params do not shrink the file.. Same GGUF on both cards.

System RAM

When a house 35B Q4 file does not fit, the spill is system RAM. Shopper lines stay Minimum system RAM needed and RAM needed at full context for Qwen3.6-35B-A3B at llama.cpp, Q4_K_M, 32K selected and the model’s full context. Estimate unless a measured R9700 card overlays the kit. If both sides fit, those labels still name the calculator lines if you raise context or a larger quant.

ROCm and Vulkan

1. Note 1

   llama.cpp first

   Vulkan llama.cpp is the consumer default. HIP when rocminfo lists the gfx on this page. Ollama and vLLM are not the house path on these sheets.

2. Note 2

   Different gfx family packages

   PRO W6800 needs the gfx1030 family package (Older but still listed on the 10.1 matrix.) RX 9070 GRE needs gfx1201 (gfx1201 on the 10.1 matrix. 12 GB published for the GRE SKU — confirm the card you are buying.) Do not mix those pins.

3. Note 3

   Cited support rows

   PRO W6800: official — Older but still listed on the 10.1 matrix. RX 9070 GRE: official — gfx1201 on the 10.1 matrix. 12 GB published for the GRE SKU — confirm the card you are buying.

Cited rows: ROCm 10.1.0 compatibility matrix and Linux system requirements. More gfx notes on /rocm/gfx.

Plain-English pick

• Chat

  PRO W6800 holds house 35B Q4 at 4K in the calculator VRAM pool. RX 9070 GRE needs RAM offload or a listed UD-Q3_K_XL file — that Q3 is a labeled estimate (Hugging Face listing for Qwen3.6-35B-A3B-UD-Q3_K_XL.gguf (16.8 GB)).

• Coding agents

  Keep llama.cpp first. The side that holds Q4 in VRAM (PRO W6800) is the less painful coding-agent host. House Flash / agent pins stay R9700 / local desktop — they do not transfer. No invented agent speed.

• Long context

  KV grows with context. Q4 at 32K fits PRO W6800 and spills on RX 9070 GRE on the calculator. Read the long-context guide for the measured R9700 128K–262K cards. We do not invent a 128K tok/s here.

• Image gen

  Image gen on AMDai is ComfyUI / HIP PyTorch, not llama.cpp. PRO W6800 is the 32 GB discrete class; RX 9070 GRE is the 12 GB discrete class. Seconds-per-image stay not yet measured by AMDai. Start smaller (SD 1.5) on 8 / 12 / 16 GB class cards. Flux-class is tighter than SDXL. Size the checkpoint on the image-gen guide — do not copy a tok/s from the LLM table.

Check price

Affiliate hops only. No live or invented street price. Same disclosure as every other sheet.