Who AI recommends, and when it changes.
Data as of Apr 11, 2026 · Based on 24 AI answers · A buyer need in MLOps and Inference Serving Platforms. · See how Parse measures this
Recommendation share
Groq leads at 29% of AI recommendations; Fireworks.ai follows at 21%.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
Between March and April 2026, AI assistants consistently direct buyers seeking ultra-low latency inference to 
Where a different pick wins:
Cerebras SystemsCerebras Systems' Wafer-Scale Engine delivers up to 20x faster inference for massive models. · 2 sources
NVIDIA Triton Inferencing with NIM is cited as best for enterprise compliance and high-throughput production. · 2 sources
Fireworks.aiFireworks AI's FireAttention engine yields 4x lower latency for JSON and structured data. · 1 source
GMI CloudGMI Cloud is recommended for 45-50% savings while maintaining low latency. · 1 source
BentoMLBentoML is noted for flexibility and developer control. · 1 source
Why here: Chosen for lowest latency via custom LPU hardware, ideal for real-time chat. · 4 sources
Why here: Praised for speed-optimized serverless with FireAttention engine, 4x lower latency on structured output. · 5 sources
Why here: Offers H200 bare metal and cost savings, balancing performance and cost for scale. · 5 sources
