{"id":"e88552f8-9ea8-4b51-8ded-c8b00b089713","name":"SaladCloud","slug":"salad-cloud","description":"SaladCloud (operated by Salad Technologies) runs a distributed GPU cloud built on consumer-grade hardware rather than datacenter-class accelerators. Home PC owners called \"Salad Chefs\" install a desktop client that rents out idle GPU cycles in exchange for gift cards, game credits and streaming subscriptions; SaladCloud resells that aggregated capacity to AI companies as a low-cost inference and batch-compute layer. The company is headquartered in Salt Lake City and was founded in 2018, initially as a way for gamers to monetize idle machines through cryptocurrency mining before pivoting to AI/ML workloads.\n\nThe positioning is deliberately opposite to the H100/B200 hyperscaler-adjacent neoclouds like CoreWeave, Crusoe or Lambda. SaladCloud does not own datacenters, does not report a megawatt footprint, and does not carry Nvidia Hopper or Blackwell inventory in any meaningful quantity; its fleet is dominated by consumer RTX cards (3060 through 4090-class) contributed by tens of thousands of individual \"Chef\" nodes. That gives it a structural cost advantage for embarrassingly parallel inference, transcription, image generation and rendering jobs where a single H100 is overkill, at the price of no SLA-grade uptime on any individual node and no support for large-model training that needs high-bandwidth GPU-to-GPU interconnect.\n\nPublic disclosures on the company are thin: SaladCloud has not announced a priced funding round since its 2022 Series A, has not disclosed total GPU count or revenue, and remains a small private company (LinkedIn shows roughly 40-50 employees as of 2026). Its competitive category inside the \"neocloud\" pack is the long-tail / crowd-sourced compute layer alongside Vast.ai and the compute side of decentralized networks like Akash and io.net, rather than the hyperscale training clouds.","status":"active","founded":2018,"hq":"Salt Lake City, Utah, USA","hqLat":null,"hqLng":null,"hqGeocodedAt":null,"hqAddress":null,"hqPrecision":null,"website":"https://salad.com","fundingTotal":null,"type":null,"roles":[],"reviewStatus":"reviewed","heatIndex":0,"lifecycleState":"active","supersededByCompanyId":null,"sources":[{"url":"https://www.linkedin.com/company/salad-technologies","title":"Salad Technologies company page","publisher":"LinkedIn"},{"url":"https://salad.com","title":"SaladCloud homepage","publisher":"Salad Technologies"},{"url":"https://docs.salad.com","title":"SaladCloud documentation","publisher":"Salad Technologies"}],"keyFacts":[{"label":"Business model","value":"Distributed GPU cloud aggregating idle consumer PCs (\"Salad Chefs\") and reselling capacity for AI/ML inference","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Headquarters","value":"Salt Lake City, Utah (26 S Rio Grande St)","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Founded","value":"2018","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Employee count","value":"~44 (LinkedIn profiles, Aug 2026); self-reported band 11-50","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Positioning","value":"Inference-focused, long-tail / consumer-GPU tier of the neocloud market; not a training cloud and does not carry hyperscale H100/B200 inventory","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"GPU inventory","value":"Not disclosed as an aggregate number; fleet is consumer RTX-class (30- and 40-series) contributed by individual node operators, not datacenter H100/B200","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Datacenter footprint","value":"None owned; capacity is nodes in homes on residential broadband, so no MW figure or campus list is published","sourceUrl":"https://www.linkedin.com/company/salad-technologies"},{"label":"Public/private status","value":"Private company; last publicly reported priced round was a 2022 Series A, no disclosed round since","sourceUrl":"https://www.linkedin.com/company/salad-technologies"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"atsProvider":null,"atsSlug":null,"factoryLocations":null,"manufacturingCapacity":null,"orgType":null,"burnSignal":null,"litigationEvents":null,"insurancePostureDisclosed":null,"unitEconomicsDisclosed":null,"tickerSymbol":null,"stockExchange":null,"secCik":null,"revenueUsd":null,"revenueBasis":null,"revenueAsOf":null,"employeeCount":44,"employeeCountBasis":"LinkedIn company page listed headcount (self-reported band 11-50, 44 profiles)","employeeCountAsOf":"2026-08-01T00:00:00.000Z","marketCapUsd":null,"marketCapAsOf":null,"marketCapSource":null,"createdAt":"2026-08-28T01:48:35.971Z","updatedAt":"2026-08-28T03:45:17.421Z","jsonLd":{"@context":"https://schema.org","@type":"Organization","@id":"https://registry.deploy.report/companies/salad-cloud","url":"https://registry.deploy.report/companies/salad-cloud","name":"SaladCloud","description":"SaladCloud (operated by Salad Technologies) runs a distributed GPU cloud built on consumer-grade hardware rather than datacenter-class accelerators. Home PC owners called \"Salad Chefs\" install a desktop client that rents out idle GPU cycles in exchange for gift cards, game credits and streaming subscriptions; SaladCloud resells that aggregated capacity to AI companies as a low-cost inference and batch-compute layer. The company is headquartered in Salt Lake City and was founded in 2018, initially as a way for gamers to monetize idle machines through cryptocurrency mining before pivoting to AI/ML workloads.\n\nThe positioning is deliberately opposite to the H100/B200 hyperscaler-adjacent neoclouds like CoreWeave, Crusoe or Lambda. SaladCloud does not own datacenters, does not report a megawatt footprint, and does not carry Nvidia Hopper or Blackwell inventory in any meaningful quantity; its fleet is dominated by consumer RTX cards (3060 through 4090-class) contributed by tens of thousands of individual \"Chef\" nodes. That gives it a structural cost advantage for embarrassingly parallel inference, transcription, image generation and rendering jobs where a single H100 is overkill, at the price of no SLA-grade uptime on any individual node and no support for large-model training that needs high-bandwidth GPU-to-GPU interconnect.\n\nPublic disclosures on the company are thin: SaladCloud has not announced a priced funding round since its 2022 Series A, has not disclosed total GPU count or revenue, and remains a small private company (LinkedIn shows roughly 40-50 employees as of 2026). Its competitive category inside the \"neocloud\" pack is the long-tail / crowd-sourced compute layer alongside Vast.ai and the compute side of decentralized networks like Akash and io.net, rather than the hyperscale training clouds.","identifier":"e88552f8-9ea8-4b51-8ded-c8b00b089713","foundingDate":"2018","address":"Salt Lake City, Utah, USA","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":null,"lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":3,"primary_source_types":[]}}}