Bàn về hiệu năng hệ thống AI workstation kép RTX PRO 6000 với 1.15TB RAM: So sánh xử lý GPU-only (INT4) vs CPU+GPU (fp8) trên mô hình MiniMax-M2.1. Kết quả: GPU-only nhanh hơn 2–4x ở prefill nhưng chỉ xử lý tối đa ~3 request đồng thời do giới hạn KV-cache..fp8 tuy chậm hơn nhưng mở rộng tốt hơn cho 10+ người dùng, đặc biệt với context dài. Queue time là điểm nghẽn quan trọng. Phù hợp cho agent coding nội bộ. #AIWorkstation #LLMBenchmark #MultiUserAI #GPUvsCPU #LocalLLM #HPC #MachineLearning #Tín

Người dùng mới sở hữu RTX 5070Ti và 5080, mong muốn chạy multi-GPU trên Windows để xử lý mô hình AI với 32GB VRAM. Tuy nhiên, gặp khó khăn khi các công cụ như llama.cpp, vLLM, oobabooga không nhận GPU thứ hai hoặc bị lỗi do hỗ trợ Blackwell chưa ổn định. Hỏi cộng đồng về hướng dẫn mới hoặc giải pháp khả thi, chấp nhận chuyển sang Linux nếu cần. #AI #GPU #NVIDIA #Blackwell #llama #vLLM #Windows #Linux #AIWorkstation #MáyTínhCáNhân #CardMànHình #HPC #AIInference

https://www.reddit.com/r/LocalLLaM

Ah yes, the "AI-augmented workstation" that's too cool for the cloud ☁️ — because nothing screams cutting-edge like shipping updates on an encrypted USB stick. 🚀 Enjoy watching Syd analyze tool output... if your browser could actually play videos. 😂
https://www.sydsec.co.uk #AIWorkstation #CloudAlternative #EncryptedUSB #TechHumor #ToolAnalysis #HackerNews #ngated

Dell Pro Max 16 Plus with Qualcomm AI 100 puts Linux first with powerful on-device AI performance

https://fed.brid.gy/r/https://nerds.xyz/2025/11/dell-pro-max-16-plus-qualcomm-ai-100-linux/

Tổng hợp cấu hình trạm AI mạnh mẽ với 4 card RTX 3090, main ASRock romed8-2t, CPU EPYC 7282. Chi phí hợp lý cho người làm AI. #AIworkstation #Hardware #TrạmAI #Công nghệ #AI

https://www.reddit.com/r/LocalLLaMA/comments/1ol8bfx/new_ai_workstation/

Xin peligroit việc mua ASUS ROG Strix Scar G16 bundled 64GB RAM & RTX 5080 (16GB VRAM). Cungprete Intel® Core™ Ultra 9 (24 cores, NPU AI) & GPU NVIDIA 1334 AI TOPS.(day roi quoc le bim Ziel nhi nên thì phe vày à 😅)
#TechGadget #AIWorkstation #ASUSStrix #GPURTX5080 #LamMangAI
#ThiếtKếTanjut #TínhNăngCao #SảnPhẩmMới

https://www.reddit.com/r/LocalLLaMA/comments/1oexfvc/planning_to_get_asus_rog_strix_scar_g16_64gb_ram/

**Biến đổi tech mới vs VRAM lớn cho công việc AI | #AIWorkstation #GPU #NVIDIA**
Dựabellion giữa Blackwell (1-2x RTX 5090) với Ampere (4x RTX 3090 + NVLink). Option A: Arquitectura mới, 32-72GB VRAM, hiệu năng cao nhưng mất NVLink. Option B: 96GB VRAM, NVLink 600GB/s nhưng 2 thế hệ cũ. Câu hỏi chính: PCIe 5.0 có ý nghĩa không? nor hàng justify mất NVLink cho fine-tuning mô hình 70B+? Ngân sách ~$5-$8k.
#GPU #AI #ThôngTinTecnizioni #Thoughts #NVIDIA

(498 ký tự)

https://www.reddit.com/r/Lo

Acer announces availability of Veriton GN100 AI mini workstation powered by NVIDIA Grace Blackwell Superchip

https://web.brid.gy/r/https://nerds.xyz/2025/10/acer-veriton-gn100-availability/

Bạn đang tìm GPU để chạy các mô hình AI cục bộ như LLM, tạo ảnh/video? Nên đầu tư H100, H200, hay nhiều RTX 6000 Pro, hoặc chờ đợi GPU phổ thông với VRAM lớn hơn? Chi phí cho một workstation AI cao cấp vượt trội hơn 4090/5090 là bao nhiêu?

#AILocal #GPU #AIWorkstation #ThietBiAI #DeepLearning #AIHardware

https://www.reddit.com/r/LocalLLaMA/comments/1nykff4/save_up_money_or_wait_for_the_best_gpus/

Hoi iedereen! 👋
Vragen aan de community:

Heeft iemand ervaring met deze GPU’s? Welke zou je aanbevelen voor het lokaal draaien van grotere LLMs?
Zijn er andere budgetvriendelijke server-GPU’s die ik misschien heb gemist en die geweldig zijn voor AI-workloads?
Heb je tips voor het bouwen van een kosteneffectieve AI-workstation? (Koeling, voeding, compatibiliteit, enz.)
Wat is jouw favoriete setup voor lokale AI-inferentie? Ik zou graag over jullie ervaringen horen!

Alvast bedankt! 🙌"
#AIServer #LokaleAI #BudgetBuild #LLM #GPUAdvies #ThuisLab #AIHardware #DIYAI #ServerGPU #TweedehandsTech #AIGemeenschap #OpenSourceAI #ZelfGehosteAI #TechAdvies #AIWorkstation #MachineLeren #AIOnderzoek #FediverseAI #LinuxAI #AIBouw #DeepLearning #ServerBouw #BudgetAI #AIEdgeComputing #Vragen #CommunityVragen

Hey everyone 👋

I’m diving deeper into running AI models locally—because, let’s be real, the cloud is just someone else’s computer, and I’d rather have full control over my setup. Renting server space is cheap and easy, but it doesn’t give me the hands-on freedom I’m craving.

So, I’m thinking about building my own AI server/workstation! I’ve been eyeing some used ThinkStations (like the P620) or even a server rack, depending on cost and value. But I’d love your advice!

My Goal:
Run larger LLMs locally on a budget-friendly but powerful setup. Since I don’t need gaming features (ray tracing, DLSS, etc.), I’m leaning toward used server GPUs that offer great performance for AI workloads.

Questions for the Community:
1. Does anyone have experience with these GPUs? Which one would you recommend for running larger LLMs locally?
2. Are there other budget-friendly server GPUs I might have missed that are great for AI workloads?
3. Any tips for building a cost-effective AI workstation? (Cooling, power supply, compatibility, etc.)
4. What’s your go-to setup for local AI inference? I’d love to hear about your experiences!

I’m all about balancing cost and performance, so any insights or recommendations are hugely appreciated.

Thanks in advance! 🙌

@selfhosted@a.gup.pe #AIServer #LocalAI #BudgetBuild #LLM #GPUAdvice #Homelab #AIHardware #DIYAI #ServerGPU #ThinkStation #UsedTech #AICommunity #OpenSourceAI #SelfHostedAI #TechAdvice #AIWorkstation #LocalAI #LLM #MachineLearning #AIResearch #FediverseAI #LinuxAI #AIBuild #DeepLearning #OpenSourceAI #ServerBuild #ThinkStation #BudgetAI #AIEdgeComputing #Questions #CommunityQuestions #HomeLab #HomeServer #Ailab #llmlab

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With AI Workstation, learning and innovation are at your fingertips.
Make the leap towards smarter solutions today.

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GTPShop has unveiled what it claims to be the world's first desktop workstation featuring NVIDIA's Grace Hopper Superchip GPU and CPU combo. Priced starting from $41,500 USD, these high-end workstations boast powerful hardware for high-performance AI acceleration. The systems come in titanium grey and champagne gold, with air or liquid-cooled variants available.

This marks a significant milestone, as the Grace Hopper Superchip was previously only available in cloud systems and data centers. Now, users can experience its power in a desktop PC form factor.

#NVIDIA #GraceHopperSuperchip #DesktopWorkstation #AIWorkstation
#HighPerformanceComputing #GPU #CPU #TechNews #WorkstationPC
#AIAcceleration