As AI growth more and more shifts from cloud to native environments, professionals are working into a major barrier—video reminiscence. Fashionable giant language fashions (LLMs) like DeepSeek R1, Mistral 3.1, and Flux.1 require greater than 20GB of VRAM to run easily. Client-grade GPUs with 16GB or much less typically fall brief, resulting in sluggish efficiency, mannequin incompatibility, or the necessity to offload duties to slower system reminiscence.
Enter the AMD Radeon™ AI PRO R9700—a professional-grade GPU constructed particularly to satisfy the calls for of native AI workloads. That includes the brand new AMD RDNA™ 4 structure and a beneficiant 32GB of GDDR6 reminiscence, the R9700 delivers the throughput and compute energy required for next-gen AI growth, simulation, and generative workflows.
Constructed for Native AI at Scale
The Radeon™ AI PRO R9700 is provided with:
Specification
Particulars
Compute Items
64
VRAM
32GB GDDR6
Reminiscence Interface
256-bit
Reminiscence Bandwidth
640 GB/s
AI Accelerators
128
FP16 Dense Efficiency
191 TFLOPS
INT4 Sparse Efficiency
1531 TOPS
Energy Draw (TDP)
300W
Interface
PCIe® 5.0
That large 32GB VRAM buffer is the game-changer right here. It’s not nearly storing extra knowledge—it’s about enabling high-performance inference and coaching for more and more demanding fashions with out offloading to system RAM.
Efficiency Comparability: AMD Radeon AI Professional 9700 vs NVIDIA RTX 5080
In benchmark testing utilizing fashions like Phi 3.5 MoE, DeepSeek R1, and Qwen 3 32B Q6, the Radeon™ AI PRO R9700 dramatically outpaced NVIDIA’s GeForce RTX 5080 (16GB). For giant prompts and high-parameter fashions, the Radeon card posted as much as 496% quicker throughput in tokens/sec—a crucial metric in LLM efficiency.
Token Throughput Benchmark (Increased is Higher)
Mannequin / Immediate
RTX 5080 (16GB)
Radeon AI PRO R9700 (32GB)
Efficiency Uplift
Phi 3.5 MoE This autumn
100% (baseline)
361%
+261%
Mistral Small 3.1 24B Instruct 2503 Q8
100% (baseline)
437%
+337%
Qwen 3 32B Q6 (Normal Immediate)
100% (baseline)
447%
+347%
DeepSeek R1 Distill Qwen 32B Q6
100% (baseline)
454%
+354%
Qwen 3 32B Q6 (Giant Immediate >3000 tokens)
100% (baseline)
496%
+396%
Supply: AMD RPW-495 Benchmarks, Could 2025
The takeaway? For professionals working giant prompts or full-sized fashions regionally, the Radeon™ AI PRO R9700 isn’t simply aggressive—it’s transformative.
Ideally suited Use Instances for Radeon AI PRO R9700
The AI PRO R9700 is designed for professionals and researchers working in:
Giant Language Mannequin Improvement – Fantastic-tune and check LLMs like Qwen, Mistral, and DeepSeek regionally with out reducing mannequin measurement or efficiency.
Generative Design & Simulation – Run CAD simulations or generative AI workflows with out offloading compute to the cloud.
AI-Pushed Content material Creation – Make the most of superior text-to-image instruments like Secure Diffusion 3.5 Medium, which requires greater than 20GB of VRAM.
With native help for the AMD ROCm™ framework, the cardboard is optimized for deep studying frameworks like PyTorch, enabling broader compatibility throughout AI pipelines.
Multi-GPU Scalability & Type Issue Benefit
One key power of the AI PRO R9700 is its suitability for multi-GPU workstation deployments. The compact type issue mixed with PCIe® 5.0 compatibility means customers can scale up efficiency by including extra playing cards—crucial for inference farms or coaching setups the place concurrency issues.
Conclusion: A Good Guess for AI-First Professionals
The AMD Radeon™ AI PRO R9700 is greater than an expert GPU—it’s a platform for pushing the boundaries of native AI. With 32GB of VRAM, 128 AI accelerators, and unimaginable token-per-second efficiency, it’s purpose-built for the way forward for machine studying and huge mannequin growth on the desktop.
For professionals searching for a high-throughput, scalable, and cost-effective different to cloud compute or memory-limited GPUs, the R9700 is a compelling new benchmark. Get yours on our ProMagix HD150 now.
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Josh has been with Velocity Micro since 2007 in numerous Advertising and marketing, PR, and Gross sales associated roles. Because the Director of Gross sales & Advertising and marketing, he’s accountable for all Direct and Retail gross sales in addition to Advertising and marketing actions. He enjoys Seinfeld reruns, the Atlanta Braves, and Beatles songs written by John, Paul, or George. Sorry, Ringo.