AMD
Radeon AI PRO R9700 32GB
Radeon AI ProWorkstationRDNA 3PCIe 5ROCm
Operating mode
Choose the operating mode for this hardware
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
About this GPU for AI
The Radeon AI PRO R9700 32GB is AMD's purpose-built AI workstation card, designed specifically for AI inference and development workloads rather than gaming or visualization. Based on RDNA 4 architecture with 32 GB of GDDR6 and an AI-focused driver stack, it represents AMD's most serious consumer-accessible AI offering. The RDNA 4 generation brings improved matrix acceleration, and the AI PRO branding signals AMD's intent to compete with NVIDIA's RTX PRO line for local AI inference.
Beyond LLMs
AI Capability Matrix
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Runs natively | Qwen 3 30B Q4 | — |
| LLM Large (70B) |
rocm-supportedworkstation-gradehigh-vramrdna4-earlylatest-gen
Specifications
Compute
FP1647.79999923706055 TFLOPS
INT8383 TOPS
ArchitectureRDNA 3
Memory
VRAM32 GB
Bandwidth640 GB/s
General
FamilyRadeon AI Pro
SegmentWorkstation
InterconnectPCIe 5
Compute PlatformROCM
MSRP$1,899
Key Features
RDNA 4 architecture optimized for AI workloads32 GB GDDR6 on a 256-bit bus640 GB/s memory bandwidthPCIe Gen 5 x16AI-focused ROCm software stackPurpose-built for AI inference — not a gaming GPU
For AI Workloads
Strengths
- 32 GB VRAM enables 70B Q4 and 34B FP16 inference with ROCm
- AI PRO driver stack optimized for ROCm AI workloads
- RDNA 4 matrix acceleration improvements benefit transformer inference
- PCIe Gen 5 reduces data transfer bottlenecks for large model loading
Considerations
- RDNA 4 ROCm ecosystem is still new — framework support still maturing
- High price ($1,899) for a workstation AI card in a still-evolving software ecosystem
- AMD's ROCm stack still trails NVIDIA CUDA in framework breadth and optimization
- Limited availability and early product — may encounter driver edge cases
RDNA 3 is AMD's chiplet-based GPU architecture, combining a 5nm Graphics Compute Die (GCD) with 6nm Memory Cache Dies (MCDs). It introduces AI accelerators and a new unified compute unit design.
AI Relevance
ROCm support for RDNA 3 is maturing but lags behind NVIDIA's CUDA ecosystem. AI accelerator units provide some inference acceleration, but lack the dedicated Tensor Core equivalent found in NVIDIA GPUs.
Process: TSMC 5nm + 6nmPlatform: ROCMPrecisions: FP32, FP16, BF16, INT8
Recommendations by Workload
Qwen 3.5 35B A3B matches Chat and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Decode 52.2 tok/s · 72K ctx · llama.cppEST.
Qwen 3.6 27B is a specialized fit for Coding. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
Decode 18.8 tok/s · 187K ctx · llama.cppEST.
Just out of reach
Models you could run with an upgrade
High-quality models that need a bit more memory
397BTier 100Needs ~247.7 GB
123BTier 100Needs ~81.8 GB
1000BTier 100Needs ~617.8 GB
1000BTier 100Needs ~617.8 GB
1600BTier 100Needs ~867.0 GB
Image & Video Generation
Diffusion Model Compatibility
43 of 52 models can generate images or video on your Radeon AI PRO R9700 32GB
Upgrade paths
Upgrade from Radeon AI PRO R9700 32GB
See what you unlock with more powerful hardware
Upgrade options
Upgrade options
MacBook Pro M1 Max 64GBNext step up
64 GB Unified (+32)
AUnlocks 11 additional models that do not fit on the current setup.Unlocks Qwen 2.5 VL 72B, Llama 3.3 70B, Llama 3.1 70B+8 more
Unlocks 11 additional models that do not fit on the current setup.
~$2,499 MSRP
Radeon PRO W7900 DS 48GBAMD upgrade
48 GB VRAM (+16)864 GB/s (+224)
AUnlocks 13 additional models that do not fit on the current setup.Unlocks Qwen 2.5 VL 72B, Qwen3-Coder-Next, Llama 3.3 70B+10 more · +16% faster avg
Unlocks 13 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 16%.
~$3,999 MSRP
MacBook Pro M3 Max 128GBBest value
128 GB Unified (+96)
BUnlocks 26 additional models that do not fit on the current setup.Unlocks Devstral 2 123B Instruct, Qwen 3.5 122B A10B, Mistral Small 4 119B+23 more
Unlocks 26 additional models that do not fit on the current setup.
~$2,499 MSRP
AMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+256)8000 GB/s (+7360)
BUnlocks 39 additional models that do not fit on the current setup.Unlocks Qwen 3.5 397B A17B, Devstral 2 123B Instruct, Qwen 3.5 122B A10B+36 more · +189% faster avg
Unlocks 39 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 189%.
~$8,000 MSRP
Frequently Asked Questions
Radeon AI PRO R9700 32GBCategory AvgMacBook Pro M1 Max 64GB
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~8.8s per image |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 | ~~1m 10s per image |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 | ~~48.6s per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~~7.7s/frame |
| Video Long (100f) | Won't fit | Wan Video 14B | ~~22.6s/frame |
Qwen 3.6 27B is a specialized fit for Agentic Coding. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, lm-studio.
Decode 18.8 tok/s · 187K ctx · llama.cppEST.
Devstral Small 2 24B Instruct matches Reasoning and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It fits natively with comfortable headroom. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Decode 27.7 tok/s · 87K ctx · llama.cppEST.
Qwen 3.5 27B matches RAG and keeps a practical fit profile. It is a recent-generation family, which helps on current local SOTA workloads. It should run, but memory headroom will be limited. Context coverage stays within the requested workload envelope. Known distribution channels: huggingface, ollama, lm-studio.
Decode 24.8 tok/s · 58K ctx · llama.cppEST.
96
30.5B24.2 GB57 tok/s102K ctx
Image
| MAGI-1Video | 256×256 | ~20.7s/frame | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
Buying advice
Should you buy Radeon AI PRO R9700 32GB for local AI?
Excellent choice for local AI
Runs 27 of 50 top models well — a strong all-rounder for local inference.
What will limit you first
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best upgrade itinerary
Unlocks 11 additional models that do not fit on the current setup.
Want more headroom? MacBook Pro M1 Max 64GB (64.0 GB unified memory) is the next step up.
