FloydHub vs Cerebras
Compare specialized AI Tools
10% Similar based on 1 shared tag
F
FloydHub
FloydHub was a managed training and deploying platform for deep learning experiments that simplified data mounting jobs metrics and collaboration but it permanently shut down in 2021.
Pricing Discontinued
Category specialized
Difficulty Beginner
Type Web App
Status Active
C
Cerebras
AI compute platform known for wafer-scale systems and cloud services plus a developer offering with token allowances and code completion access for builders.
Pricing Starts $50 per month (developer) / contact sales
Category specialized
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in FloydHub
mlopsdiscontinuedexperimentsdeploy
Shared
training
Only in Cerebras
hardwareinferencewafer-scaleclouddeveloper
Key Features
FloydHub
- • Reproducible environments for experiments with simple job launch and logs that reduced setup toil for fast iteration during research
- • Dataset mounting and snapshots that kept inputs consistent across runs so results remained comparable and easy to audit for teams
- • Team workspaces and collaboration that allowed shared projects and roles so students and startups could coordinate work simply
- • Run metrics and comparisons that surfaced loss curves and scores so selection and reporting were faster for notebooks and papers
- • CLI and UI control that matched developer needs so power users scripted pipelines while newcomers clicked through safe defaults
- • Early model deployment paths that exposed inference endpoints for demos which helped small teams share progress with stakeholders
Cerebras
- • Developer plans with fast code completions and daily token allowances
- • Wafer-scale CS systems and cloud clusters for training large models
- • API and SDK access to integrate inference into apps and agents
- • High throughput serving for interactive apps and copilots
- • Enterprise deployments with security reviews and SLAs
- • Option to scale from prototyping to production on the same platform
Use Cases
FloydHub
- → Migration planning from legacy accounts to modern notebook services with artifact export so research continuity is preserved for teams
- → Experiment tracking adoption using current open source stacks that replicate run history dashboards and metrics for new projects
- → Student lab environments updated to contemporary cloud notebooks that mirror the low friction FloydHub approach for coursework and demos
- → Prototype to demo flows rebuilt on managed inference endpoints which recreate the fast shareability that FloydHub enabled for stakeholders
- → Dataset governance modernization that replaces snapshots with versioned buckets and policies to keep experiments auditable and compliant
- → Team collaboration standardized on workspaces and role based access in current tools to maintain the simple getting started experience
Cerebras
- → Prototype code copilots with high context completions and fast tokens
- → Serve apps that require low latency responses at large scale
- → Accelerate training runs for LLMs and domain adapters
- → Integrate inference via APIs to web backends and tools
- → Run evaluations and red teaming at higher throughput
- → Support research teams with large batch experiments
Perfect For
FloydHub
teams modernizing from legacy MLOps tools educators and small research groups that need a clear path from historical FloydHub workflows to current platforms with better governance and support
Cerebras
developers ML engineers platform teams and enterprises seeking fast model access training throughput and predictable developer plans with enterprise pathways
Capabilities
FloydHub
Experiments and Jobs Basic
Snapshots and Datasets Basic
Shared Workspaces Basic
Modern Replacements Intermediate
Cerebras
Developer Plans Professional
Wafer-Scale Systems Enterprise
APIs and SDKs Professional
Enterprise Support Enterprise
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