Salad records 713,519 monthly visits with +10.4% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | salad.com | supermemory.ai |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 713.52K (713,519) | 156.58K (156,579) |
| MoM Traffic Delta | +67.49K (+10.4%) | -12.98K (-7.7%) |
| Primary Market & Share | 🇺🇸 United States (40.9%) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 440.92K | 71.16K |
| User Rating | 4.3 | 4.5 |
| Supported Platforms | Website | Website |
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Schedules, monitors and reallocates Docker/OCI workloads across thousands of distributed GPU nodes, with failover when nodes disappear.
On-demand access to a distributed pool of idle consumer GPUs across 190+ countries with priority pricing from about $0.015 per GPU-hour.
A managed token endpoint for open-weight models priced per token, with your data never used for training.
Run the same orchestration stack inside your organisation, pooling idle workstation GPUs into an internal OpenAI-compatible service.
A memory and continual-learning engine that gives any AI agent persistent context
A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Free / Open-sourceOne open-source AI gateway for 100+ LLM providers
SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
SpecialistThe universal context engine connecting agents to data, tools, and models
SpecialistOffers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions.
SpecialistAI gateway, observability and guardrails for production LLM apps
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
