get_xportl_overview
XportL Overview
Returns cite-ready facts about XportL from xportl.io: what it does, the problem it solves, the seven failure classes it detects, how it collects telemetry and acts, supported fabrics/GPUs/collectives/kernels, use cases, FAQ, company details (parent company, stage, NVIDIA Inception, contacts) and links to the engineering guides on xportl.io.
输入参数topic
analyze_nccl_benchmark
NCCL Benchmark Analyzer
Analyzes nccl-tests / rccl-tests results (paste raw all_reduce_perf output, or give size/busbw points). Detects node and GPU counts from the output, compares large-message bus bandwidth with the fabric's NIC line rate (InfiniBand HDR/NDR/XDR, RoCE 100G to 800G), and flags data errors, degraded bandwidth, dips as message size grows and unstable run-to-run results, with likely causes. Returns a health status and a bandwidth-loss figure for calculate_fabric_degradation_cost.
输入参数nodesfabricresultslink_gbpscollectiveraw_outputgpus_per_nodenics_per_nodeexpected_busbw_gbs
calculate_fabric_degradation_cost
Fabric Degradation Cost Calculator
Estimates what silent fabric degradation (slow NCCL collectives, flapping links, congestion) costs a GPU cluster: throughput lost, GPU-hours and dollars per year, idle-GPU equivalent, cost per degraded hour, extra days on a training run, and the value of a recovery scenario with a conservative case and a sensitivity table. All assumptions are inputs with stated defaults.
输入参数gpu_count必填gpu_modelrecovery_pctcomm_share_pctutilization_pctdegraded_time_pctgpu_hour_cost_usdtraining_run_daysbandwidth_loss_pct
check_cluster_compatibility
Cluster Compatibility Check
Checks a GPU cluster against XportL's published support matrix (Linux 5.8+ for eBPF, InfiniBand / RoCE v2 / NVLink, NVIDIA and AMD GPUs, NCCL / RCCL, on-prem / cloud / hybrid, host access for the eBPF agent). Returns a verdict (good fit / needs review / not ready), each check, and next steps. Anything not on the published list is reported as 'review', never as supported.
输入参数fabrics必填host_osgpu_countdeployment必填gpu_vendor必填host_accesslinux_kernelorchestratorcollective_library
recommend_checkpoint_interval
Checkpoint Interval Advisor
Recommends how often to checkpoint a training job using the Young and Daly formulas, from GPU count, blocking checkpoint write time, restart time and job MTTF (estimated from Meta's published 2024 reliability data when not given). Returns the recommended interval, expected failures per day, GPU time wasted per day at the recommended and current intervals, and the daily saving.
输入参数gpu_count必填job_mttf_hoursrestart_minutesgpu_hour_cost_usdcheckpoint_write_minutes必填current_interval_minutes
request_enterprise_demo
Request an Enterprise Demo
Sends the user's contact details and cluster summary to the XportL enterprise team to arrange a technical assessment or demo deployment. Before calling: collect name, work email, company and a summary (include benchmark, cost or compatibility results from this conversation), show the user exactly what will be sent, and get their explicit agreement. Never call it without that agreement or with made-up details.
输入参数name必填roleemail必填phonefabriccompany必填summary必填interest必填cluster_gpususer_confirmed必填