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Tools/FluidStack vs Ray Serve
FluidStack

FluidStack

infrastructure
vs
Ray Serve

Ray Serve

infrastructure

FluidStack vs Ray Serve — Comparison

Overview
What each tool does and who it's for

FluidStack

Leading AI Cloud Platform for top AI labs. Immediate access to thousands of H200s with InfiniBand.

Powering today’s most ambitious teams Single-Tenant by Default. Your infrastructure is fully isolated at the hardware, network, and storage levels. No shared clusters. No noisy neighbors. Secure Ops, Human Support. Fluidstack engineers maintain and monitor your cluster directly with secure access controls, audit logs, and 15-minute response SLAs. © 2025 Fluidstack All rights reserved. © 2025 Fluidstack All rights reserved. © 2025 Fluidstack All rights reserved.

Ray Serve

Based on the social mentions provided, Ray Serve appears to be well-regarded as part of the broader Ray ecosystem for distributed AI and ML workloads. Users appreciate its integration with popular tools like SGLang and vLLM for both online and batch inference scenarios, with new CLI improvements making large model development more accessible. The active community engagement through frequent meetups, office hours, and educational content suggests strong adoption and support, particularly for LLM inference at scale. The mentions focus heavily on technical capabilities and real-world production use cases, indicating Ray Serve is viewed as a serious solution for enterprise-scale AI deployment rather than just an experimental tool.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
—
GitHub Stars
41,936
—
GitHub Forks
7,402
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

FluidStack

0% positive100% neutral0% negative

Ray Serve

0% positive100% neutral0% negative
Pricing

FluidStack

tiered

Ray Serve

tiered

Pricing found: $100

Features

Only in FluidStack (7)

Fluidstack helped poolside deploy 2,500+ GPUs within 48 hours.Atlas OSSpeed, at scale.LighthouseReliable performance.GPU ClustersRapid access.

Only in Ray Serve (1)

Ray Serve:...
Developer Ecosystem
—
GitHub Repos
—
—
GitHub Followers
—
—
npm Packages
20
—
HuggingFace Models
3
—
SO Reputation
—
Product Screenshots

FluidStack

FluidStack screenshot 1

Ray Serve

No screenshots

Company Intel
information technology & services
Industry
information technology & services
150
Employees
9
$240.5M
Funding
—
Series A
Stage
—
Supported Languages & Categories

FluidStack

DevOpsSecurityDeveloper Tools

Ray Serve

AI/MLDevOpsSecurityAnalyticsDeveloper Tools
View FluidStack Profile View Ray Serve Profile