
UltiHash is high-throughput, S3-compatible object storage engineered for AI workloads. It accelerates inference, training and RAG pipelines, cuts storage costs with binary-level deduplication, and deploys either as a managed serverless service or self-hosted on Kubernetes.
网站月访问量估算
数据为该域名的 Similarweb 流量估算,不是活跃用户数。仅展示有数据的统计月份;采集时间与流量统计月份分别标注。
采集于 2026年11月11日

这是编辑给出的评估,满分 5 分,不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳,不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据,UltiHash(ultihash.io)是一个收录在 AI Developer Tools 下的 AI 平台,月访问量为 4910,月度环比流量变化为 +1771(+56.4%)。其主要地理市场为美国(82.2% 流量份额),采用免费增值,付费,定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 Ultralytics(79.34万次访问/月),BasicAI Cloud(2.17万次访问/月),ModelScope(308.54万次访问/月)。
专门为 AI 大模型训练和 RAG 打造的对象存储,去重率太顶了。
S3 完全兼容,平替云厂商存储省钱利器。
GPU 喂饱了,吞吐量是真的顶。
自建 Kubernetes 部署稍微有点折腾。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成,旨在呈现不同使用场景下的常见槽点与亮点,非实名真实用户评价。
Optimized throughput keeps GPUs and TPUs fed during training and inference so compute is not wasted on I/O bottlenecks.
Binary-level deduplication detects duplicate byte strings and versions, lowering the total cost of ownership for large datasets.
Drop into existing pipelines without changing your stack, working with Parquet, Iceberg and standard S3 tools.
Choose a managed serverless service hosted in EU Tier 1 datacenters, or deploy the Kubernetes-native Self-Hosted edition anywhere.
Reed-Solomon erasure coding, policy-based access control, versioning, object locking, SOC 2 Type II and GDPR compliance.
UltiHash is high-throughput, S3-compatible object storage engineered for AI workloads. It accelerates inference, training and RAG pipelines, cuts storage costs with binary-level deduplication, and deploys either as a managed serverless service or self-hosted on Kubernetes.
Serve prompts and embeddings with low-latency reads and stream large media into generation pipelines.
Keep GPUs fully utilized with parallel reads and write checkpoints without blocking active training.
Unify structured and unstructured data on one high-performance store and query Parquet and Iceberg faster.
Store the image, video, LiDAR and audio data behind computer vision, autonomous driving and speech systems.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | UltiHash | 4910 | +56.4% | 40% 直接流量 | 免费增值,付费,定价请咨询 | 当前产品 |
| 1 | Ultralytics | 79.34万 | +8.7% | 30% 直接流量 | 免费增值 | 对比 Ultralytics |
| 2 | BasicAI Cloud | 2.17万 | -13.1% | 40% 直接流量 | Freemium, Enterprise Quote | 对比 BasicAI Cloud |
| 3 | ModelScope | 308.54万 | +5.1% | 68% 直接流量 | 免费 | 对比 ModelScope |
| 4 | ClearML | 2.01万 | -60.9% | 33% 直接流量 | 定价请咨询 | 对比 ClearML |
| 5 | Weights & Biases(CoreWeave Forge) | 31.56万 | -80.2% | 73% 直接流量 | 免费增值,定价请咨询,免费 | 对比 Weights & Biases(CoreWeave Forge) |
| 6 | Appen | 66.58万 | +0.2% | 36% 直接流量 | 定价请咨询 | 对比 Appen |

为 AI 训练数据而生的标注平台与托管标注服务
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

在互联环境中跟踪、评估并交付 AI 模型与智能体。
免费 / 开源构建、模拟、评估并监控可自我改进的 AI 智能体

免费 / 开源面向 AI 智能体与分析的开源数据集成平台
专项更强检查你的显卡或 Mac 究竟能跑哪些本地 AI 模型
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
面向具身智能、机器人与大模型的真实世界训练数据