2026 Mid-Year Crypto Payment Statistics: Monero Still Leads, Bitcoin Rails Grow, Stablecoins Broaden
NanoGPT's first-half 2026 crypto payment data across XMR, XNO, BTC, Lightning, USDC, USDT, LTC, ZEC, ETH, SOL, TON, and more.
NanoGPT Blog
Updates, guides, and insights from the NanoGPT team
Showing
Crypto Payment Statistics: Monthly NanoGPT Merchant Data
Monthly cryptocurrency payment statistics from NanoGPT, tracking real merchant deposit volume across Monero, Nano, Bitcoin, Lightning, stablecoins, Litecoin, Zcash, and more.
June 2026 Crypto Payment Statistics: Monero Leads, Stablecoins Broaden
June 2026 NanoGPT crypto deposit data, with Monero at 40.73%, Bitcoin second, Nano third, and stablecoins at 11.78% combined.
Shipped in June: Private Mode, OAuth, GLM 5.2, Media Tools, and More
A complete roundup of what NanoGPT shipped in June 2026, including Private Mode improvements, Sign in with NanoGPT, Batch API expansion, new models, media tools, payment updates, privacy controls, and community projects.
Rate Limiting in AI Gateways: Complete Guide
Use request, token, and spend limits to protect AI gateway uptime, control costs, and prevent noisy tenants from taking over.
Edge AI vs. Cloud AI: Cost and Latency Comparison
Edge offers sub-50 ms latency and lower bandwidth at higher upfront cost; cloud gives pay-as-you-go scaling for light, bursty workloads.
The open-weight models worth trying on NanoGPT right now
DeepSeek V4 Flash, GLM 5.2, MiniMax M3, and Nemotron 3 Ultra show why open-weight models now deserve first-round testing for coding, long-context work, agents, and enterprise workflows on NanoGPT.
5 Methods to Reduce Latency in Event-Driven AI
Measure p95/p99, trace each stage, tune queues, use async/parallel work, optimize serving, and move compute closer to events.
JAX Memory Management Q&A
Explains why JAX reserves GPU memory, how to diagnose host vs device OOM, and fixes: batch size, mixed precision, remat, sharding.
Compiler Optimizations for AI Models
Compilers yield the biggest AI inference gains—fusion, layout tuning, SIMD, and BF16/INT8 with careful profiling.