Complete comparison of GPU vs CPU for AI: deep learning performance, hardware cost, TCO, and ideal use cases. Choose the right processor for your training and inference workloads.
Wondera cut AI training costs 75% and scaled to 200,000 users in 4 months using io.net's decentralized GPU infrastructure, launching 3 months ahead of schedule.
New io.net study shows consumer GPUs (RTX 4090) can cut AI inference costs by up to 75% for LLMs, enabling a sustainable, heterogeneous compute infrastructure.
KayOS, an AI startup, achieved 5x developer power with io.net. Learn how their 2-person team cut compute costs by 60% ($2.5k to $1k/month) using io.intelligence.
![AI Training vs Inference: Key Differences, Costs & Use Cases [2025]](/_next/image?url=https%3A%2F%2Fio-net.ghost.io%2Fcontent%2Fimages%2F2025%2F11%2Fio-Blog-AI-Inference-vs-Training.png&w=640&q=75)
AI training teaches models to recognize patterns. AI inference applies those models to make predictions. Learn the differences, costs, and optimization strategies in io.net’s complete guide.
Complete comparison of GPU vs CPU for AI: deep learning performance, hardware cost, TCO, and ideal use cases. Choose the right processor for your training and inference workloads.
Wondera cut AI training costs 75% and scaled to 200,000 users in 4 months using io.net's decentralized GPU infrastructure, launching 3 months ahead of schedule.
Blockchain promised to solve centralization, but focused on wrong problems. DePIN networks like io.net finally deliver real value through affordable GPU access.
KayOS, an AI startup, achieved 5x developer power with io.net. Learn how their 2-person team cut compute costs by 60% ($2.5k to $1k/month) using io.intelligence.
Complete comparison of GPU vs CPU for AI: deep learning performance, hardware cost, TCO, and ideal use cases. Choose the right processor for your training and inference workloads.
Unified Chat is the single, intelligent AI workspace that unifies every model and tool. Auto-routes for optimal quality and cost. End fragmentation.
Complete financial framework for GPU infrastructure decisions. Cost modeling, ROI analysis & budget optimization for AI companies.
Model deployment connects trained ML models to users, yet most stall due to cloud costs and vendor lock-ins. Decentralized platforms cut costs 90%.
io.net is leveraging smart contracts on the Solana blockchain to automate GPU rentals, payments, and resource allocation for transparent decentralized computing.
Blockchain promised to solve centralization, but focused on wrong problems. DePIN networks like io.net finally deliver real value through affordable GPU access.
io.net surpasses $20M in verifiable on-chain revenue, proving decentralized GPU infrastructure can compete with AWS and GCP on cost, performance, and real-world adoption.
Forget AWS's $37/hour GPU costs. Decentralized networks deliver the same power for 50-70% less, turning idle gaming rigs into AI supercomputers.
Nexus partners with io.net to expand computational power for its zkVM, enhancing zero-knowledge proof generation with decentralized GPU resources.
CreatorBid partners with io.net to scale AI agent creation and tokenization, enabling autonomous content generation with decentralized GPU compute.
Phala Network partners with io.net to expand its TEE-based coprocessor protocol, accessing 300k+ decentralized GPUs for affordable AI computing.
KREA scales AI media generation for clients like Nike and Apple using io.net's 300k+ decentralized GPUs at 60% lower costs than traditional cloud.
OpenLedger partners with io.net to expand decentralized AI modeling using affordable GPU compute, moving beyond costly centralized cloud providers.
GAIB partners with io.net to tokenize GPU infrastructure, enabling compute owners to earn yield while providing developers 90% cheaper AI computing access.
ChainGPT partners with io.net's 300k+ decentralized GPUs to deliver faster, affordable smart contract analytics and real-time blockchain code analysis.
IO.net revolutionizes AI training with decentralized GPU infrastructure, offering faster model training, cost-effective scaling, and global access.
io.net solves AI's compute bottleneck with decentralized GPU networks offering 90% cost savings and instant H100 access for enterprises.
io.net partners with Alpha Network to create secure, privacy-compliant AI training using decentralized GPUs and Zero-Knowledge protocols.
io.net partners with CreatorBid to scale AI image models using decentralized GPUs, powering the future of AI agents and creator economy tools.
DeepSeek's breakthrough AI model disrupts Western tech dominance, sparking global competition while highlighting the growing need for efficient compute infrastructure.
