178ms
p99 inference latency
Llama-3-70B on H100, 8×A100 fallback path. Sustained over 14 days at 2,400 QPS.
LLM Runtime · v4.2 · Generally Available
One runtime for training, evaluating, and observing LLMs.
Helios Labs collapses Weights & Biases, LangSmith, BentoML, and Helicone into a single line of code — delivering p99 under 180ms for 70B-parameter models on commodity H100 clusters. Ship reliable AI features 4.7× faster.
- SOC 2Type II since Mar 2024
- 2.1MSDK downloads (Py, TS, Rust)
- 99.97%trailing 12-month uptime
- a16zSeries A lead, June 2024
Benchmark evidence
Numbers an ML platform lead can verify — not marketing fluff.
Independently measured against commodity H100 clusters and the public Helios status page. Methodology available on request under NDA.
99.97%
Trailing 12-month uptime
Publicly reported on status.helios-labs.com, refreshed hourly, audit log retained 18 months.
2.1M
Cumulative SDK downloads
Across Python, TypeScript, and Rust packages. Top 0.3% of PyPI by weekly active installs.
142/142
Eval pass rate on regression suite
Production regression suite covering toxicity, faithfulness, retrieval accuracy, and latency SLOs.
Want to run these benchmarks against your own model?
Book a 30-minute demo →Customer signal
1,840+ AI teams standardize on Helios.
From Series B startups to research labs, engineering teams ship production LLM features on the same runtime.
Replit
Notion
Jasper
Character.ai
- a16zSeries A lead
- Guillermo RauchCEO, Vercel
- Dylan PatelSemiAnalysis
- 14 operatorsFAANG AI angels
Founded 2021 in San Francisco by ex-DeepMind & ex-Stripe infrastructure engineers. SOC 2 Type II · HIPAA-ready since Mar 2024.
# Before — four vendors, four SDKs from wandb import wandb from langsmith import Client as LangSmith import bentoml from helicone import Helicone # After — one runtime from helios import Runtime
One SDK to replace four
Collapse four MLOps tools into a single import.
Weights & Biases for experiments. LangSmith for traces. BentoML for serving. Helicone for observability. Four vendors, four billing cycles, four dashboards your team never opens. Helios replaces them with one runtime — verified by the 2024 MLOps Community Migration Report as the most common consolidation path for LLM platform teams.
-
01
Drop in the SDK
pip install helios— the Python, TypeScript, and Rust clients share one surface area. 2.1M cumulative downloads. Top 0.3% of PyPI by weekly active installs. -
02
Swap one line per workload
Wrap your existing training, eval, and inference calls. Side-by-side runs against your current vendor for a 14-day parity window before cutover.
-
03
Decommission three bills
One invoice, one status page (99.97% uptime, trailing 12 months), SOC 2 Type II since March 2024. Audit reports under NDA inside 24 hours.
Case study · Replit EvalOps
“We were running LangSmith for traces, BentoML for the eval harness, Helicone for token-cost attribution, and a homegrown W&B mirror for nightly regression suites. None of them talked to each other. After we cut over to Helios, the eval pipeline that used to take eleven days to provision now ships in under three — and we trust the p99 numbers because they're sourced from the same runtime that serves production traffic.”
4.7×
Faster shipping of reliable AI features across the EvalOps backlog
11d → <3d
Time-to-provision for a new eval suite, end to end
142 / 142
Production eval suites passing on the same runtime
3 → 1
Vendors consolidated after the migration
Read the full Replit EvalOps migration write-up — instrumentation, roll-out plan, and the parity window methodology — on the customers page.
Next step · 30 minutes
Book a demo with our solutions engineers.
No marketing deck. No recorded walkthrough. You'll get on a call with someone who has shipped LLM runtime at DeepMind and Stripe scale — and we'll wire Helios against your real workload before the meeting ends.
- All systems operational · 99.97% trailing 12-month uptime
- SOC 2 Type II · HIPAA-ready since March 2024
- Backed by a16z infra, Guillermo Rauch, Dylan Patel