Arize Phoenix vs CoreWeave
Compare data AI Tools
0% Similar based on 0 shared tags
A
Arize Phoenix
Open source LLM tracing and evaluation that captures spans scores prompts and outputs, clusters failures and offers a hosted AX service with free and enterprise tiers.
Pricing Free, SaaS tiers by quote
Category data
Difficulty Beginner
Type Web App
Status Active
C
CoreWeave
AI cloud with on demand NVIDIA GPUs, fast storage and orchestration, offering transparent per hour rates for latest accelerators and fleet scale for training and inference.
Pricing On demand from $42 per hour GB200 NVL72, B200 from $68.80 per hour
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Arize Phoenix
llmobservabilitytracingevaluationopensourceotel
Shared
None
Only in CoreWeave
gpucloudai-infrastructuretraininginferencekubernetes
Key Features
Arize Phoenix
- • Open source tracing and evaluation built on OpenTelemetry
- • Span capture for prompts tools model outputs and latencies
- • Clustering to reveal failure patterns across sessions
- • Built in evals for relevance hallucination and safety
- • Compare models prompts and guardrails with custom metrics
- • Self host or use hosted AX with expanded limits and support
CoreWeave
- • On demand NVIDIA fleets including B200 and GB200 classes
- • Per hour pricing published for select SKUs
- • Elastic Kubernetes orchestration and job scaling
- • High performance block and object storage
- • Multi region capacity for training and inference
- • Templates for LLM fine tuning and serving
Use Cases
Arize Phoenix
- → Trace and debug RAG pipelines across tools and models
- → Cluster bad answers to identify data or prompt gaps
- → Score outputs for relevance faithfulness and safety
- → Run A B tests on prompts with offline or online traffic
- → Add governance with retention access control and SLAs
- → Share findings with engineering and product via notebooks
CoreWeave
- → Spin up multi GPU training clusters quickly
- → Serve low latency inference on modern GPUs
- → Run fine tuning and evaluation workflows
- → Burst capacity during peak experiments
- → Disaster recovery or secondary region runs
- → Benchmark new architectures on latest silicon
Perfect For
Arize Phoenix
ml engineers data scientists and platform teams building LLM apps who need open source tracing evals and an optional hosted path as usage grows
CoreWeave
ml teams, research labs, SaaS platforms and enterprises needing reliable GPU capacity without building their own data centers
Capabilities
Arize Phoenix
Spans and Context Professional
Built in and Custom Intermediate
Clustering and Search Intermediate
Hosted AX Basic
CoreWeave
On Demand GPUs Professional
Kubernetes & Storage Professional
Right Sizing & Regions Intermediate
Reservations & Support Professional
Need more details? Visit the full tool pages: