Monitor multi-tenant dataset storage, data shards, and cloud cost arbitrage.
Your AI datasets are replicated across our distributed storage fabric. Serving high-throughput batches to ML training clusters at 74% lower cost than AWS S3 Standard.
Datasets sharded and verified across distributed storage clusters
Stream dataset shards directly into Python without mounting S3 buckets:
# Direct stream into PyTorch / HuggingFace pipeline
import requests, pyarrow.parquet as pq
from io import BytesIO
headers = {"Authorization": "Bearer fvt_live_9a7d3f821e4c9a72b0c3f1a6e92b8d4e"}
res = requests.get("http://localhost:3000/api/v1/datasets/retrieval/imagenet-21k", headers=headers, stream=True)
table = pq.read_table(BytesIO(res.content))
print(f"Loaded {table.num_rows} records from dataset cloud!")