Tag
6 posts tagged #ai-infrastructure
Browse 6 posts tagged AI Infrastructure, including practical setup notes, reviews, comparisons, and workflow patterns for engineers working with AI tools.
Access H100, H200, B200 GPUs on demand from 30+ cloud providers via a single API. Compare prices, deploy clusters up to 64 GPUs, no long-term commitment.
ZeroEntropy (YC W25) builds embedding models, rerankers, and managed search APIs for RAG pipelines. Uses novel Elo-score training to outperform OpenAI and Cohere on retrieval benchmarks.
Oblivus Cloud offers 18,000+ NVIDIA GPUs from $0.29/hr with transparent per-minute pricing, no hidden fees, and 30-second VM provisioning for ML workloads.
Shadeform aggregates 8+ GPU providers into a single marketplace and API so you can find, reserve, and launch A100s and H100s without hyperscaler lock-in.
High-throughput GPU storage engine built on Rust and io_uring — GPUDirect Storage, RDMA, erasure coding, 6x higher throughput than conventional object stores.
Expanse reads your job's source code, submission script, and hardware telemetry to predict actual GPU needs—cutting 59% datacenter waste before jobs run.