AMD · Workstation GPU

Radeon AI PRO R9700

32 GB of GDDR6 on RDNA 4. Check which quantized models fit the memory budget, then inspect speed and cost evidence for this variant.

R9700 desktop workstation card; not R9700S.

Chip maker: AMD
Memory: 32 GB GDDR6
Architecture: RDNA 4
Card class: Workstation

Single-card inference · estimated

What models fit the memory budget?

Q4_K_M weight files · FP16 KV cache · one request · 2 GiB runtime reserve. Context includes prompt and generated tokens.

3 of 4 sample models within the estimated budget at 4K context.

Qwen3 8B

8B · Q4_K_M

Within memory budget

Quantized weight files: 4.68 GiB
FP16 KV cache: 0.56 GiB
Runtime reserve: 2.00 GiB
Total estimated memory: 7.24 GiB

22.56 GiB remaining

Model files & architecture

Inspect the quantized files ↗

Qwen/Qwen3-8B-GGUF · revision 7c41481f57cb95916b40956ab2f0b139b296d974.

KV architecture source ↗: 36 layers, 8 KV heads, head dimension 128. Files checked 7 Nov 2026.

Qwen3 14B

14B · Q4_K_M

Within memory budget

Quantized weight files: 8.38 GiB
FP16 KV cache: 0.63 GiB
Runtime reserve: 2.00 GiB
Total estimated memory: 11.01 GiB

18.79 GiB remaining

Model files & architecture

Inspect the quantized files ↗

Qwen/Qwen3-14B-GGUF · revision 530227a7d994db8eca5ab5ced2fb692b614357fd.

KV architecture source ↗: 40 layers, 8 KV heads, head dimension 128. Files checked 7 Nov 2026.

Qwen3 32B

32B · Q4_K_M

Within memory budget

Quantized weight files: 18.40 GiB
FP16 KV cache: 1.00 GiB
Runtime reserve: 2.00 GiB
Total estimated memory: 21.40 GiB

8.40 GiB remaining

Model files & architecture

Inspect the quantized files ↗

Qwen/Qwen3-32B-GGUF · revision 938a7432affaec9157f883a87164e2646ae17555.

KV architecture source ↗: 64 layers, 8 KV heads, head dimension 128. Files checked 7 Nov 2026.

Llama 3.3 70B

70B · Q4_K_M

Over memory budget

Quantized weight files: 39.60 GiB
FP16 KV cache: 1.25 GiB
Runtime reserve: 2.00 GiB
Total estimated memory: 42.85 GiB

13.05 GiB over the budget

Model files & architecture

Inspect the quantized files ↗

bartowski/Llama-3.3-70B-Instruct-GGUF · revision b6c5c9f176f3279204034e1d16d393105e95cb88.

KV architecture source ↗: 80 layers, 8 KV heads, head dimension 128. Files checked 7 Nov 2026.

How we estimate memory

Exact quantized file bytes + FP16 KV cache + 2 GiB reserved for the runtime. KV bytes = 2 × layers × KV heads × head dimension × total context tokens × 2 bytes. 1 GiB = 2³⁰ bytes.

Nominal manufacturer GB labels use a conservative decimal-GB budget (1 GB = 10⁹ bytes). Actual free VRAM, engine allocation, driver and operating-system support must be checked. Passing this estimate does not establish a tested deployment or the largest model the card could run. CPU offload, multi-GPU and training are outside this calculation.

Published test evidence

How fast does it generate tokens?

Up to 51.8output tok/s · published reference

Qwen3.8 27B

Precision not published · AMD · Aug 2026

Preliminary average token-generation throughput over at least three runs. llama.cpp, Vulkan, MTP=2, Windows 11 Pro 25H2; Ryzen 9 9950X, 64 GB RAM, Adrenalin 26.7.1.

Quantization, input/output lengths, model revision and exact engine commit are not published in the cited test description. Not comparable to the 4090 reference test.

Read the original test ↗

The context selector above changes memory estimates only. Published speed records keep their original model and test conditions; these are external reports, not our measurements.

Ownership cost

Purchase price references.

No current purchase quote collected.

We have not recorded a seller, board SKU, condition and current price for this variant. Manufacturer specifications ↗

Dated compute quotes

Where can you rent this variant?

No matching rental quote collected.

Quotes must match this exact variant. R9700 desktop workstation card; not R9700S.

Browse the rental catalog ↗

This is the matching evidence currently in our catalog. It is not a complete provider comparison or a market-wide lowest-price claim.

Hardware identity & sources.

Chip designer: AMD. R9700 desktop workstation card; not R9700S. Retail board brands, seller SKUs and regional availability need their own evidence.

Official hardware specifications ↗ · checked 7 Nov 2026.

Model files and pinned revisions are attached to each memory estimate. Speed and price records link to their sources above. Rebuilding this page does not refresh those observation dates.