CommunityMay 29, 20262026-05-295 minVerified
Reading AI Pricing Through Limits and Infrastructure Costs
AI pricing is better understood through usage caps, fallback rules, and inference infrastructure efficiency, not subscription fees alone.
SourceMar 6, 20262026-03-064 minVerified
Extreme 2-Bit Quantization Can Break LLM Generation
Study compares six post-training 2-bit methods on a Polish 11B LLM, highlighting gaps between benchmarks and generation stability.
CommunityMar 3, 20262026-03-035 minVerified
When LLM Inference Becomes Memory-Bound Under Roofline
Use Roofline (I ≤ π/β) to classify LLM inference kernels as memory- or compute-bound, and guide bandwidth, cache, and interconnect decisions.
GuideFeb 15, 20262026-02-155 minVerified
Decomposing LLM Inference Latency for Better Serving Performance
Break down LLM latency into queue/compute and prefill/decode, then tune batching, KV cache limits, scheduling, and quantization.
NewsFeb 14, 20262026-02-144 minVerified
OpenAI Codex Spark Runs on Cerebras WSE-3 Chips
TechCrunch says Codex Spark inference runs on Cerebras WSE-3, highlighting serving bottlenecks and PoC latency metrics.
CommunityFeb 1, 20262026-02-013 minVerified
LLM Inference Acceleration Techniques for Enhanced Efficiency and Throughput
Explore key LLM inference acceleration techniques like FlashAttention and PagedAttention to overcome memory bottlenecks and optimize system performance.
NewsJan 27, 20262026-01-273 minVerified
OpenAI and Cerebras Partner for $10 Billion Inference Acceleration
OpenAI signs a $10 billion deal with Cerebras to use WSE-3, boosting inference speeds by up to 15x for AI models.
CommunityJan 10, 20262026-01-104 min
AI Inference Scaling: The Next Exponential Curve in 1-2 Years
Many worry that AI model progress has plateaued. However, OpenAI and experts predict a revolution in 'Inference'. We analyze the sharp rise coming in the next 1-2 years.