Prefix caching cuts LLM latency by 70%
GKE Inference Gateway uses prefix caching to cut time-to-first-token latency by over 70%, eliminating redundant computation in AI pipelines.
S3 architecture, AI workload bottlenecks, migration patterns and cost optimisation — analysis from working storage practitioners.
GKE Inference Gateway uses prefix caching to cut time-to-first-token latency by over 70%, eliminating redundant computation in AI pipelines.
Discover how native C++ compilation delivers up to 4.9x faster Spark performance by eliminating garbage collection pauses and JVM overhead.
Google Cloud generated billions in 2025, yet sequential read patterns still cripple query performance on this infrastructure.
GCS MCP adoption surged 20x, yet zero-infrastructure models hide security gaps. Learn why remote and local architectures demand different observability...
Cut SAS Grid expenses by shifting cold data to archives at a fraction of a cent per GB/month while maintaining submillisecond access for active jobs.
Most AI pilots fail due to fragmented storage. Learn why unified access beats raw compute for scaling beyond the pilot phase.
Discover how Cloud Storage FUSE latency impacts TPU inference and why a dedicated gateway beats direct mounting for low-latency model access.
Google Cloud revenue jumped significantly to billions in late 2025, proving AI infrastructure drives the market.
Scality launched ADI on 12 May 2026 to manage data tiers. This analysis explores why human oversight remains vital for safe AI storage.
Stop burning 18 months building object stores. Whitelabel storage lets GPU farms launch in weeks with zero egress fees.
Cut total cost of ownership by 90% by moving vector search directly into S3. We analyze the architectural shift removing external databases.
Stop paying the lift-and-shift tax. Unified storage lets 70% of enterprises train AI models directly on production data without costly rewrites.