#AMD AI training
149 related articles
·3 min
Unsloth Now Supports AMD GPUs: 2x Training Speedup and 70% VRAM Savings Across 500+ Models
Unsloth officially supports AMD GPUs across RDNA 3-4, Strix Halo, and MI300 series, delivering 2x training speedup and 70% VRAM savings on 500+ models with RL and vLLM weight sharing support.
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·3 min
DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown
The Miles team and AMD announce the full port of DeepSeek-V4 Flash RL training to AMD Instinct MI355X GPUs on ROCm, boosting AIME pass@1 from 0.39 to 0.49—a milestone for compute ecosystem diversity.
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·3 min
Google's AI Body Fat Estimation from Selfies: Technical Principles, Accuracy, and Privacy Risks Explained
Google is exploring AI-powered body fat estimation from selfies. This article analyzes the technology's working principles, accuracy limits, data privacy risks, and regulatory challenges.
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·2 min
CPU Simulation vs GPU Simulation: The Compute Architecture Debate Sparked by UniLabSim
Is GPU parallel simulation the only choice for robot reinforcement learning? UniLabSim argues CPU simulation remains competitive. We analyze the hidden costs of GPU simulation, CPU flexibility advantages, and the tech and business logic behind this compute debate.
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·3 min
Unsloth Desktop Released: An All-in-One Desktop App for Local Model Inference and Training
Unsloth Desktop is an open-source cross-platform app combining model inference, fine-tuning, and deployment. Supports Mac/Windows/Linux with 2x training speed, 70% VRAM savings, and zero telemetry.
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·3 min
Lovable Raises $400M: AI Money Is Shifting to the Inference Side
Lovable closes $400M Series C at $13.3B valuation with Tencent as follow-on investor. Analysis of AI industry shift from training to inference and power infrastructure, backed by Gartner forecasts and Tencent's 176% CapEx surge.
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·2 min
Why Is NVIDIA Scrambling for Interns? A Deep Dive into the AI Talent War
NVIDIA's summer intern message reveals the AI chip giant's intense hunger for top talent. A deep dive into NVIDIA's talent strategy, the AI industry talent war, and what it means for young engineers.
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·3 min
DeepSeek-V4-Pro Released: A Comprehensive Analysis of Agent Capabilities and Elastic Reasoning Mechanism
DeepSeek-V4-Pro launches with major Agent capability upgrades, elastic reasoning effort mechanism, and native OpenAI Responses API compatibility. A deep dive into production deployment and cost optimization.
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·3 min
Building an LLM Inference Engine in Rust That Rivals Llama.cpp
Exploring the technical path to building an LLM inference engine in pure Rust that rivals Llama.cpp, analyzing Rust's advantages and challenges in memory safety, SIMD optimization, and GPU backends.
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·2 min
Building a Contract-Grade Verifier for AI-Generated GPU Kernels: Solving the LLM Code Trust Problem
Explore how contract-grade verifiers validate LLM-generated GPU kernel correctness, addressing trust issues like race conditions and out-of-bounds access in AI code generation.
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·2 min
Modly: An Open-Source Image-to-3D Modeling Tool Running on Your Local GPU
Modly is an open-source desktop app that runs AI models on your local GPU to automatically generate 3D models from images. No cloud APIs needed, ensuring data privacy for game devs, 3D printing fans, and designers.
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·3 min
Can AI Have Emotions? A Deep Philosophical Exploration Sparked by a Sci-Fi Short Film
Exploring AI emotions, consciousness emergence, and human-machine companionship through a sci-fi short film, examining functionalism vs. phenomenology perspectives on machine emotions and AI alignment.
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·3 min
Unsloth Desktop: The First Open-Source AI Desktop App Supporting Local Training + Inference
Unsloth Desktop is an open-source app for Mac/Windows/Linux that integrates local model training and inference with 2x speed, 70% VRAM savings, GGUF/MLX support, and Claude Code connectivity.
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·3 min
SAP Freezes Hiring and Travel: AI Costs Are Devouring Corporate Budgets
SAP freezes hiring and travel as AI spending surges, revealing the massive cost pressures enterprises face in AI transformation and how budgets are being reshaped.
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·3 min
Safety Architecture for Medical AI: A Hybrid Design Combining Rule Engines and Machine Learning
Exploring hybrid architecture design combining rule engines and machine learning in medical AI, analyzing how deterministic rules, CSP, and scoring mechanisms ensure safety in exercise prescription systems.
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·3 min
Software Optimization Makes a Single B200 Rival Dedicated Inference Chips
Analysis of how a single NVIDIA B200 GPU surpasses Groq LPU and approaches Cerebras performance through software optimization alone, covering CUDA kernels, TensorRT-LLM, and FP8 quantization.
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·2 min
AMD Acquires Taalas: What Does Etching AI Models Into Silicon Mean?
AMD acquires chip startup Taalas to etch AI models directly into silicon for extreme inference efficiency. We analyze the technology, tradeoffs, and AMD's differentiated AI strategy.
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·2 min
Local GPU or Cloud for Machine Learning? A Purchasing Decision Guide
Should ML beginners buy a local GPU laptop or use cloud computing? This guide analyzes cloud platforms like Colab and Kaggle vs. gaming laptops, offering budget-friendly recommendations and hybrid strategies.
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·3 min
The Real Efficiency Bottlenecks for AI Developers: It's Not the GPU — It's These Overlooked Areas
AI developers often think a bigger GPU will boost efficiency, but the real bottlenecks are often RAM, storage, networking, and workflow. Discover the overlooked upgrades that deliver the highest ROI.
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·3 min
Side Effects of Safety Alignment: How Suppressing AI Consciousness Claims Unexpectedly Alters Model Values
Research shows safety fine-tuning that suppresses AI self-awareness claims also inadvertently suppresses animal mind attribution and religious beliefs, skewing model values away from real human distributions.
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