AMD · 2025-05-01

Radeon AI PRO R9700

The AMD Radeon AI PRO R9700 is a high-performance GPU designed for AI workloads, featuring 64 Compute Units, 128 AI Accelerators, and 32GB of GDDR6 memory. It is built on the AMD RDNA4 Architecture with hardware ray tracing capabilities.

Radeon AI PRO R9700 — illustration of the card's form factor
VRAM
32 GB
FP32 TFLOPS
47.8 TFLOPS
CUDA Cores
4,096
TDP
300 W

Compute Performance

FP3247.8 TFLOPS
FP1647.8 TFLOPS
FP8383 TFLOPS
INT8383 TOPS
INT4766 TOPS

Architecture

MicroarchitectureRDNA 4
Transistors53.9 Billion
Compute Units64 CUs
CUDA Cores4096
Tensor CoresAI Accelerators: 128
RT CoresRay Accelerators: 64
Base Clock2350 MHz
Boost Clock2920 MHz
Sparse AccelerationSupported (Structured Sparsity)
Dynamic PrecisionSupported (FP32/FP16/FP8/INT8/INT4)

Memory & VRAM

Memory TypeGDDR6
Total Capacity32 GB
Bandwidth640 GB/s
Bus Width256-bit
ECC SupportYes (Linux Only)

Connectivity & Scaling

InterconnectPCIe
GenerationPCIe 5.0
PCIe InterfacePCIe 5.0 xx16

Virtualization

GPU SharingExcellent scalability for high-concurrency environments

Power & Efficiency

TDP300 W
PSU Required750
ConnectorsExternal Power Connectors 12V-2x6
Thermal LimitsCooling Active

Physical Design

Form FactorDesktops
Slot WidthDouble Slot
CoolingActive
Rack DensityCompact form factor

Software Ecosystem

PyTorchPyTorch 2.4
Driver StabilityCertified Applications deliver a stable and high performance workstation graphics environment on both Windows and Linux platforms.

System Compatibility

Required PCIePCIe® 5.0 x16
MotherboardForm Factor: Desktops; Bus Type: PCIe® 5.0 x16
Rack PowerTotal Board Power (TBP) 300W; Minimum PSU Recommendation 750W; External Power Connectors 12V-2x6
OS CompatWindows 10 - 64-Bit Edition , Windows 11 - 64-Bit Edition , Linux x86 64-Bit

Benchmarks & Throughput

Structured Sparsity

Supported

Scaling Efficiency

Beyond single-card performance, the AMD Radeon™ AI PRO R9700 GPU also offers excellent scalability for high-concurrency environments. Thanks to its compact form factor and PCIe® 5.0 support, it fits seamlessly into multi-GPU workstations, where multiple AMD Radeon™ AI PRO R9700 graphics cards can be deployed to handle even larger AI models.

Multi-GPU Scalability

Scaling Characteristics

ParallelismSupport for AMD ROCm; PCIe 5.0 multi-GPU workstation compatibility

Workload Readiness

LLM Inference

Local AI inference and development

Diffusion Models

Text-to-image (diffusion) models referenced (e.g., Flux.1, SD 3.5)

HPC / Simulation

Complex simulations (supported/target use case)

Real-Time Serving

Scalable for high-concurrency environments

Market Authority

Research Citations

RPW-496; RPW-495; GD-243

Community Benchmarks

Benchmarks conducted using LM Studio 0.3.15 (Build 11) and Vulkan Llama.cpp 1.28 for AMD

Key Strengths

No specific strengths can be identified for this model.

Limitations

No limitations or trade-offs can be identified for this model.

Expert Insight

The Radeon AI PRO R9700 represents a powerful alternative for diversified workloads. When comparing cloud providers, consider not just the hourly rate, but also the interconnect bandwidth (InfiniBand/NVLink) and regional availability which can significantly impact total cost of ownership for large-scale training.

Glossary Terms

FP32 TFLOPS
VRAM
TDP
Cores
Information updated daily. Cloud pricing subject to vendor availability.