R9700
PulseAugur coverage of R9700 — every cluster mentioning R9700 across labs, papers, and developer communities, ranked by signal.
9 day(s) with sentiment data
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User builds $16K CAD multi-GPU server for Qwen 3.8 FN model
A user has built a powerful multi-user inference server using four AMD R9700 GPUs, costing approximately $16,000 CAD. The system is configured with an EPYC 7402P CPU and 128GB of RAM, and initial benchmarks for the Qwen…
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Used PC Resale Value Skyrockets When Marketed for AI
A Reddit user discovered that by rebranding a used computer system as an "AI system," they could significantly increase its resale value. The user initially struggled to sell a system with an RX580 for €750, but after r…
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Together AI launches Together Compiler for continuous AI inference optimization · 8 sources tracked
Together AI has launched Together Compiler (TKCC), a novel system designed to continuously optimize AI inference. TKCC utilizes high-throughput agents to adapt inference engines to dynamic workloads, model architectures…
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User upgrades PC to 8x R9700 GPUs for larger AI models
A user on Reddit's r/LocalLLaMA subreddit showcased their upgraded computing rig, featuring a Threadripper 9955WX CPU and 128GB of DDR5 RAM. The system is equipped with eight R9700 GPUs, an upgrade from a previous four-…
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User seeks optimal hardware setup for Qwen and Strata models
A user is seeking advice on optimizing their hardware setup for running various AI models, including Qwen and Strata. They have a multi-system configuration featuring an R9700 eGPU, an RTX3060, and three RTX3090s, along…
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ASRock launches AMD Radeon Pro AI R9700 for workstation inference
ASRock has released the Creator Radeon AI Pro R9700, a workstation-grade graphics card designed for AI inference tasks. This card, based on AMD's RDNA 4 architecture, features enhanced AI capabilities including faster m…
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llama.cpp PR targets R9700 strata decode performance boost
A pull request for the llama.cpp project introduces optimizations to improve strata decode performance. The changes aim to enhance the efficiency of the decoding process, potentially leading to faster inference speeds f…
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Dual R9700 GPUs Offer Quiet Operation via Layer Splitting
A user on Reddit shared a positive side effect of splitting a large language model's layers across two R9700 GPUs. This configuration resulted in each GPU's load dropping below 50%, leading to quieter fan operation duri…
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Custom AI Servers Built with Radeon R9700 GPUs for Local LLM Inference
A user on Reddit shared details of a custom-built AI server designed for running large language models locally. The machine, costing approximately $10,733.91 per unit, features four ASRock Radeon AI PRO R9700 Creator GP…
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Qwen 3.8 Model Performance Explored Across Diverse Hardware Setups · 4 sources tracked
Users are sharing their experiences running the Qwen 3.8 model with various hardware configurations and software optimizations. One user upgraded their RAM to 64GB, enabling them to run a 4-bit quantized version of Qwen…
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zzpanic releases final vLLM-Radiance build with GPU memory optimization
A user has released the final revision of their zzpanic vLLM-Radiance build, optimized for a single R9700 GPU. This update incorporates a startup caching feature to prevent recompilation on restarts and a functional kv-…
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Startup builds $18k AI workstation with 128GB VRAM for local LLMs
A 10-person startup has built a powerful AI workstation for $18,000, featuring a Threadripper 9970x CPU and four AMD Radeon R9700 AI Pro GPUs, totaling 128GB of VRAM. The setup is configured to serve models like Qwen 3.…
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Qwen3.8-27B model achieves 159 tokens/sec on R9700 GPU via iPad IDE
LemonSeed Studio, an iPad-based editor and IDE, has demonstrated on-device inference capabilities using an AMD GPU. The system achieved 159 tokens/sec with the Qwen3.8-27B model on an R9700 GPU, and 64 tokens/sec on a S…
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R9700 Inference Engine Recommendations Sought for Large Language Models
The user is seeking recommendations for the most efficient inference engine to run large language models on R9700 hardware. They are specifically looking to run GLM5.3-Flash across multiple R9700 GPUs and system RAM, an…
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User plans dual R9700 GPU setup for local AI model training
A user is planning to upgrade their local AI setup by adding a second R9700 GPU to their existing build. The goal is to improve performance and enable the running of larger models like Qwen3.8-Flash-Next at higher quant…
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Qwen3.8-Flash-Next performance questioned on R9700 system
A user on Reddit's r/LocalLLaMA subreddit is seeking feedback on the performance of the Qwen3.8-Flash-Next model running on their R9700 system. They are experiencing 863 tokens/s during prefill and 35 tokens/s during de…
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Slipstream engine boosts Qwen3.8-Flash-Next performance on Macs
A new inference engine called Slipstream has been released, offering significant speed improvements for running the Qwen3.8-Flash-Next model on Apple Silicon Macs. Slipstream achieves 41-52 tokens/s on a 64GB Mac, a 1.7…
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R9V software update boosts local LLM inference speed and stability
The R9V software has received an update, improving performance and stability for local large language model inference. The update enhances speed, achieving approximately 100 tokens per second with the Qwen3.8 Flash Next…
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NVIDIA PAIR modified to support AMD GPUs and llama.cpp
A user has modified NVIDIA's Personal AI Router (PAIR) to support AMD GPUs by integrating ROCm telemetry. This allows PAIR to route tasks to llama.cpp running on an AMD node, overcoming the limitation where PAIR only na…
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AMD GPU Choice for AI Workloads: R9700 vs W7800
A user is seeking advice on choosing between two AMD GPU configurations for their workstation, aiming to enhance local inference and PyTorch training capabilities. The options are two Radeon AI PRO R9700 32GB cards or t…