Developer docs
API playgroundTry for free, no card

Search company profiles

Yotta Labs

Full company profile

uuid0000b2d

Namestring
Yotta Labs
Legal namestring
Yotta Labs, Inc.
Websiteurl
yottalabs.ai
Company typeenum
Private
Founded yearint
2024
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSeattle, United States
HQ citystring
Seattle
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices4 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
GPU cloud computing, AI infrastructure, serverless GPU, ML orchestration, decentralized inference
Industry5 codes
1AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers)
CodeHDAAAAAGPrimaryYes
2Model Deployment, Serving & Inference Platforms
CodeHDAAABAFPrimaryNo
3Model Hosting, Serving & Inference Platforms
CodeHDAAACABPrimaryNo
4Model Compression & Optimization (Quantization, Distillation, Pruning)
CodeHDAAACALPrimaryNo
5AI Accelerators (GPUs/TPUs/NPUs/ASICs)
CodeHDAAAAAAPrimaryNo
NAICS code2 codes
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Prepackaged Software7372
Product category
AI Cloud Infrastructure
Social media profiles1 record
GTM motion5 records

Each record includes

Type, Description, Source

Revenue model3 records
1GPU Cloud Computing (Usage-based)
TypeUsage Based
Description

On-demand, pay-as-you-go GPU compute services where customers pay based on actual GPU usage. Provides instant access to elastic GPU resources including H100/200 and B200/300 GPUs. Revenue scales with customer consumption patterns and workload duration.

yottalabs.ai
2AI Infrastructure Deployment
TypeManaged Services
Description

Large-scale GPU infrastructure deployment services for enterprise and government customers. Includes the $2 billion Blackwell Ultra GPU supercluster deployment valued at approximately $2.8 billion with partners like Gorilla Technology Group.

yottalabs.ai
3Enterprise Cloud Services
TypeSubscription Recurring
Description

Serverless GPU cloud and MLOps platform services (Shakti Studio) for enterprise AI model deployment. Includes AI Gateway for multi-provider model routing and quantization services for model optimization.

yottalabs.ai
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Infrastructure, Technology or R&D, Personnel, Marketing or Sales, Operations
Pricing details2 tiers
1On-demand GPU compute with pay-as-you-go billing
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Compute costs scale with actual workload usage, avoiding unnecessary idle costs. Supports H100/200 and B200/300 GPUs with automatic scaling based on real-time demand.

yottalabs.ai
2Enterprise-scale GPU infrastructure with dedicated capacity
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Large-scale deployments such as the 20,736 GPU Blackwell Ultra cluster represent multi-billion dollar infrastructure commitments. Quote-based for enterprise engagements.

yottalabs.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1Shakti Cloud
Description

Sovereign AI cloud platform powered by NVIDIA H100 GPU clusters providing enterprise AI services including training, inference, and HPC workloads with full compliance to Indian data residency norms.

yottalabs.ai
Core offering1 text field

Yotta Labs provides a GPU cloud platform delivering on-demand, elastic GPU compute for AI training, inference, and fine-tuning, powered by NVIDIA H100/200 and B200/300 GPUs. The platform offers serverless deployment options with one-click launch templates, automatic scaling, and persistent storage across 20+ global regions, complemented by an AI Gateway for multi-model API routing and Quantization tools for model compression. Open-source offerings include BloomBee decentralized LLM inference, NeuronMM memory management, and Yotta AMD Kernel for alternative hardware acceleration.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Yotta Labs offers a unified AI cloud platform combining on-demand GPU compute (pods and virtual machines) with serverless GPU infrastructure. The core platform is complemented by AI Gateway (multi-model API routing), Quantization (model compression), and Launch Templates for deployment. The Shakti Cloud sub-brand provides NVIDIA-powered sovereign AI infrastructure in India with H100 GPUs. Shakti Studio offers serverless MLOps capabilities. The open-source portfolio includes BloomBee (decentralized LLM inference), NeuronMM (memory management), and Yotta AMD Kernel (GPU optimization). The platform targets enterprise AI teams requiring production-scale training and inference with automatic scaling across 20+ global regions.

Product and service7 records
1On-Demand GPU Compute
CategoryGPU Cloud Compute
Description

Elastic, production-ready GPU compute service with pods and virtual machines for AI training and inference workloads. Features automatic scaling, on-demand pay-as-you-go pricing, and persistent storage across 20+ global regions with H100/200 and B200/300 GPUs.

2Serverless GPUs
CategoryGPU Cloud Compute
Description

Serverless GPU infrastructure enabling instant deployment of GPU workloads without infrastructure management overhead. Automatically scales AI applications across regions with high reliability.

3AI Gateway
CategoryAI Platform Tool
Description

A unified API that intelligently routes requests across multiple AI model providers for optimized performance, cost, and availability. Enables enterprises to manage multi-model AI workflows through a single interface.

4Quantization
CategoryAI Platform Tool
Description

Model compression tool that reduces large AI models to enable fast inference with minimal accuracy loss. Helps optimize deployment of large language models on GPU infrastructure.

5BloomBee
CategoryOpen-Source AI Tool
Description

Open-source decentralized LLM inference engine for scalable AI workloads with distributed computing capabilities. Enables decentralized inference across distributed GPU nodes.

6NeuronMM
CategoryOpen-Source AI Tool
Description

Open-source neural network memory management optimization tool for large models. Reduces memory footprint and improves efficiency for large-scale AI model deployment.

7Yotta AMD Kernel
CategoryOpen-Source AI Tool
Description

Open-source high-performance GPU kernels for AMD inference acceleration, providing optimized execution on AMD hardware as an alternative to NVIDIA GPU compute.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership10 partners
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-05-13
Description

MarketsandMarkets and Yotta collaborated to publish a whitepaper analyzing India's transition from AI experimentation to enterprise-scale deployment, projecting Indian AI market growth to $119.44 billion by 2032. The study highlights Yotta's Shakti Cloud platform as a key enabler for enterprises seeking production-grade AI capabilities within India.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-04-29
Description

Expanded AI infrastructure partnership deploying an additional 20,736 B300 GPU cards in India by September 30, 2026. Project valued at approximately $2.8 billion with NVIDIA expected to account for roughly half the offtake through a four-year commitment. The deployment aims to establish one of APAC's largest NVIDIA DGX Cloud clusters in India. CEO Jay Chandan highlighted the partnership as representing a potential $500 million annualized revenue base.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-18
Description

NVIDIA is a core technology partner providing Blackwell Ultra (B300) GPUs, DGX Cloud infrastructure, and software tools (Nemotron models, NeMo framework). Yotta is deploying 20,736 liquid-cooled Blackwell Ultra GPUs forming one of Asia's largest AI superclusters. NVIDIA anchors Asia's first DGX Cloud supercluster with ~10,368 GPUs under a four-year contract worth approximately $1 billion. Yotta is part of NVIDIA's ecosystem supporting India's sovereign AI infrastructure under IndiaAI Mission.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-18
Description

L&T partnered with NVIDIA and Yotta to build India's largest AI factory for large-scale AI workloads. The partnership is part of India's broader sovereign AI infrastructure build-out under the IndiaAI Mission, combining L&T's infrastructure capabilities with NVIDIA's GPU technology and Yotta's data center operations.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-18
Description

E2E Networks is partnering with Yotta and NVIDIA to develop AI infrastructure in India, including AI cloud and GPU clusters. The collaboration focuses on supporting India's AI Mission and creating local AI models for multilingual applications using NVIDIA's Nemotron platform.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2026-02-18
Description

Infosys is leveraging NVIDIA's enterprise software and Yotta's GPU infrastructure to deliver AI systems globally to clients across finance, healthcare, telecom, and drug discovery. The partnership is part of NVIDIA's broader ecosystem play in India.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2026-02-18
Description

Tech Mahindra is building AI agents for industries using NVIDIA's enterprise software stack and Yotta's sovereign AI infrastructure. Part of the broader AI ecosystem partnership announced at India AI Impact Summit 2026.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2026-02-18
Description

Persistent Systems is leveraging NVIDIA's enterprise software and Yotta's GPU infrastructure to deliver AI solutions to enterprise clients across multiple industries.

Strategic tierCoreTypeChannel Partner/ Reseller/ DistributorAnnounced on2026-02-18
Description

Wipro is building AI agents using NVIDIA's enterprise software stack deployed on Yotta's sovereign AI infrastructure for industries including finance, healthcare, and drug discovery.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-05-07
Description

Microsoft partnered with Yotta Data Services to deliver sovereign AI solutions in India, integrating Yotta's GPU infrastructure with Microsoft Azure AI ecosystem. This enables Yotta to reach enterprise customers through Microsoft's global cloud ecosystem and provides Azure customers access to sovereign AI compute in India.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Pure-play GPU cloud provider offering on-demand NVIDIA H100/B200 instances, serverless GPU, and AI orchestration. Closest direct competitor to Yotta's GPU cloud and serverless offering, though at significantly larger scale and primarily US/EU focused.

TypeDirect peer
Description

GPU cloud and deep-learning workstation company providing H100/B200 cloud instances and clusters targeted at AI training and inference. Comparable product surface to Yotta's on-demand GPU compute and serverless offerings.

TypeDirect peer
Description

GPU cloud provider purpose-built for AI workloads with a focus on sustainable/stranded-energy-powered data centers. Competes with Yotta in the large-scale, NVIDIA-based GPU cloud segment for enterprise and startup AI customers.

TypeDirect peer
Description

AI cloud platform combining GPU compute (NVIDIA H100/B200) with open-source model hosting and inference APIs. Overlaps with Yotta on serverless GPU, AI Gateway-style model routing, and serving infrastructure for generative AI workloads.

TypeDirect peer
Description

Developer-focused GPU cloud with on-demand pods, serverless endpoints, and instant deployment templates. Closely comparable to Yotta's Launch Console, pods/vms, and product-led-growth motion targeting AI developers and startups.

TypeDirect peer
Description

Cloud GPU service (now part of DigitalOcean) offering on-demand GPU instances and notebooks for AI workloads. Comparable self-serve GPU offering for developers and small teams, though at smaller scale than Yotta.

TypeEmerging player
Description

Decentralized GPU marketplace aggregating consumer and prosumer GPUs for AI training/inference. Conceptually comparable to BloomBee's decentralized inference thesis, with a more spot-market / peer-to-peer model.

TypeBroad incumbent
Description

Hyperscaler offering ND H100/B200 instances, Azure AI Foundry, and DGX Cloud. Both a competitor in GPU cloud and a strategic partner via Yotta's Azure AI integration, making it a critical incumbent peer.

TypeBroad incumbent
Description

Largest hyperscaler GPU cloud via EC2 P5/B200 instances and Bedrock model serving. Sets the global benchmark for pricing, scale, and enterprise features that Yotta must compete against for AI workloads.

TypeBroad incumbent
Description

Hyperscaler offering A3 instances with H100 GPUs and Vertex AI model serving infrastructure. Competes broadly with Yotta for enterprise AI training and inference workloads, particularly with its integrated TPUs and software stack.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature11 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors7 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Yotta Labs

AI Cloud Infrastructureyottalabs.ai

Yotta Labs firmographics

Firmographics
Name
Yotta Labs
Legal name
Yotta Labs, Inc.
Website
https://yottalabs.ai
Company type
Private
Founded year
2024
Operating status
Operating
Headcount range
1–10 employees
Ownership category
akta.pro rank

Yotta Labs industry classification

Industry
Product category
AI Cloud Infrastructure
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
akta.pro secondary industries
Model Deployment, Serving & Inference Platforms (HDAAABAF), Model Hosting, Serving & Inference Platforms (HDAAACAB), Model Compression & Optimization (Quantization, Distillation, Pruning) (HDAAACAL), AI Accelerators (GPUs/TPUs/NPUs/ASICs) (HDAAAAAA)

Keywords

  • GPU cloud computing
  • AI infrastructure
  • Serverless GPU
  • ML orchestration
  • Decentralized inference

Where Yotta Labs is headquartered

Location

Headquarters

HQ city
Seattle
HQ country
United States
HQ region
North America

Offices4 records

Markets served

Yotta Labs business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Infrastructure, Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

  1. GPU Cloud Computing (Usage-based): On-demand, pay-as-you-go GPU compute services where customers pay based on actual GPU usage. Provides instant access to elastic GPU resources including H100/200 and B200/300 GPUs. Revenue scales with customer consumption patterns and workload duration.
  2. AI Infrastructure Deployment: Large-scale GPU infrastructure deployment services for enterprise and government customers. Includes the $2 billion Blackwell Ultra GPU supercluster deployment valued at approximately $2.8 billion with partners like Gorilla Technology Group.
  3. Enterprise Cloud Services: Serverless GPU cloud and MLOps platform services (Shakti Studio) for enterprise AI model deployment. Includes AI Gateway for multi-provider model routing and quantization services for model optimization.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goOn-demand GPU compute with pay-as-you-go billing
Unit PricingMulti-year contractEnterprise-scale GPU infrastructure with dedicated capacity

Go-to-market motion5 records

Distribution channels5 records

Marketing channels7 records

Yotta Labs product offering

Product offering

Core offering

Yotta Labs provides a GPU cloud platform delivering on-demand, elastic GPU compute for AI training, inference, and fine-tuning, powered by NVIDIA H100/200 and B200/300 GPUs. The platform offers serverless deployment options with one-click launch templates, automatic scaling, and persistent storage across 20+ global regions, complemented by an AI Gateway for multi-model API routing and Quantization tools for model compression. Open-source offerings include BloomBee decentralized LLM inference, NeuronMM memory management, and Yotta AMD Kernel for alternative hardware acceleration.

Product overview

Yotta Labs offers a unified AI cloud platform combining on-demand GPU compute (pods and virtual machines) with serverless GPU infrastructure. The core platform is complemented by AI Gateway (multi-model API routing), Quantization (model compression), and Launch Templates for deployment. The Shakti Cloud sub-brand provides NVIDIA-powered sovereign AI infrastructure in India with H100 GPUs. Shakti Studio offers serverless MLOps capabilities. The open-source portfolio includes BloomBee (decentralized LLM inference), NeuronMM (memory management), and Yotta AMD Kernel (GPU optimization). The platform targets enterprise AI teams requiring production-scale training and inference with automatic scaling across 20+ global regions.

Differentiator

Problem solved

Functional benefit

Brands

  • Shakti Cloud: Sovereign AI cloud platform powered by NVIDIA H100 GPU clusters providing enterprise AI services including training, inference, and HPC workloads with full compliance to Indian data residency norms.

Products and services

  • On-Demand GPU Compute Elastic, production-ready GPU compute service with pods and virtual machines for AI training and inference workloads. Features automatic scaling, on-demand pay-as-you-go pricing, and persistent storage across 20+ global regions with H100/200 and B200/300 GPUs.
  • Serverless GPUs Serverless GPU infrastructure enabling instant deployment of GPU workloads without infrastructure management overhead. Automatically scales AI applications across regions with high reliability.
  • AI Gateway A unified API that intelligently routes requests across multiple AI model providers for optimized performance, cost, and availability. Enables enterprises to manage multi-model AI workflows through a single interface.
  • Quantization Model compression tool that reduces large AI models to enable fast inference with minimal accuracy loss. Helps optimize deployment of large language models on GPU infrastructure.
  • BloomBee Open-source decentralized LLM inference engine for scalable AI workloads with distributed computing capabilities. Enables decentralized inference across distributed GPU nodes.
  • NeuronMM Open-source neural network memory management optimization tool for large models. Reduces memory footprint and improves efficiency for large-scale AI model deployment.
  • Yotta AMD Kernel Open-source high-performance GPU kernels for AMD inference acceleration, providing optimized execution on AMD hardware as an alternative to NVIDIA GPU compute.

Companies that use Yotta Labs

Customer profile

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Yotta Labs technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature11 records

Yotta Labs partnerships and signals

Strategic signal

Partnerships

Ten partnerships are on record, tiered minor, flagship and core.

  • MarketsandMarketsminorStrategic or Co-development Partner · 13 May 2026MarketsandMarkets and Yotta collaborated to publish a whitepaper analyzing India's transition from AI experimentation to enterprise-scale deployment, projecting Indian AI market growth to $119.44 billion by 2032. The study highlights Yotta's Shakti Cloud platform as a key enabler for enterprises seeking production-grade AI capabilities within India.
  • Gorilla Technology GroupflagshipStrategic or Co-development Partner · 29 April 2026Expanded AI infrastructure partnership deploying an additional 20,736 B300 GPU cards in India by September 30, 2026. Project valued at approximately $2.8 billion with NVIDIA expected to account for roughly half the offtake through a four-year commitment. The deployment aims to establish one of APAC's largest NVIDIA DGX Cloud clusters in India. CEO Jay Chandan highlighted the partnership as representing a potential $500 million annualized revenue base.
  • NVIDIAcoreTechnology or Integration · 18 February 2026NVIDIA is a core technology partner providing Blackwell Ultra (B300) GPUs, DGX Cloud infrastructure, and software tools (Nemotron models, NeMo framework). Yotta is deploying 20,736 liquid-cooled Blackwell Ultra GPUs forming one of Asia's largest AI superclusters. NVIDIA anchors Asia's first DGX Cloud supercluster with ~10,368 GPUs under a four-year contract worth approximately $1 billion. Yotta is part of NVIDIA's ecosystem supporting India's sovereign AI infrastructure under IndiaAI Mission.
  • Larsen & Toubro (L&T)coreStrategic or Co-development Partner · 18 February 2026L&T partnered with NVIDIA and Yotta to build India's largest AI factory for large-scale AI workloads. The partnership is part of India's broader sovereign AI infrastructure build-out under the IndiaAI Mission, combining L&T's infrastructure capabilities with NVIDIA's GPU technology and Yotta's data center operations.
  • E2E NetworkscoreTechnology or Integration · 18 February 2026E2E Networks is partnering with Yotta and NVIDIA to develop AI infrastructure in India, including AI cloud and GPU clusters. The collaboration focuses on supporting India's AI Mission and creating local AI models for multilingual applications using NVIDIA's Nemotron platform.
  • InfosyscoreChannel Partner/ Reseller/ Distributor · 18 February 2026Infosys is leveraging NVIDIA's enterprise software and Yotta's GPU infrastructure to deliver AI systems globally to clients across finance, healthcare, telecom, and drug discovery. The partnership is part of NVIDIA's broader ecosystem play in India.
  • Tech MahindracoreChannel Partner/ Reseller/ Distributor · 18 February 2026Tech Mahindra is building AI agents for industries using NVIDIA's enterprise software stack and Yotta's sovereign AI infrastructure. Part of the broader AI ecosystem partnership announced at India AI Impact Summit 2026.
  • Persistent SystemscoreChannel Partner/ Reseller/ Distributor · 18 February 2026Persistent Systems is leveraging NVIDIA's enterprise software and Yotta's GPU infrastructure to deliver AI solutions to enterprise clients across multiple industries.
  • WiprocoreChannel Partner/ Reseller/ Distributor · 18 February 2026Wipro is building AI agents using NVIDIA's enterprise software stack deployed on Yotta's sovereign AI infrastructure for industries including finance, healthcare, and drug discovery.
  • MicrosoftcoreStrategic or Co-development Partner · 7 May 2025Microsoft partnered with Yotta Data Services to deliver sovereign AI solutions in India, integrating Yotta's GPU infrastructure with Microsoft Azure AI ecosystem. This enables Yotta to reach enterprise customers through Microsoft's global cloud ecosystem and provides Azure customers access to sovereign AI compute in India.

Scale indicators12 records

Recent moves6 records

Expansion highlights7 records

Yotta Labs competitors and assessment

Company assessment

Direct peers

  • CoreWeave: Pure-play GPU cloud provider offering on-demand NVIDIA H100/B200 instances, serverless GPU, and AI orchestration. Closest direct competitor to Yotta's GPU cloud and serverless offering, though at significantly larger scale and primarily US/EU focused.
  • Lambda Labs: GPU cloud and deep-learning workstation company providing H100/B200 cloud instances and clusters targeted at AI training and inference. Comparable product surface to Yotta's on-demand GPU compute and serverless offerings.
  • Crusoe Energy: GPU cloud provider purpose-built for AI workloads with a focus on sustainable/stranded-energy-powered data centers. Competes with Yotta in the large-scale, NVIDIA-based GPU cloud segment for enterprise and startup AI customers.
  • Together AI: AI cloud platform combining GPU compute (NVIDIA H100/B200) with open-source model hosting and inference APIs. Overlaps with Yotta on serverless GPU, AI Gateway-style model routing, and serving infrastructure for generative AI workloads.
  • RunPod: Developer-focused GPU cloud with on-demand pods, serverless endpoints, and instant deployment templates. Closely comparable to Yotta's Launch Console, pods/vms, and product-led-growth motion targeting AI developers and startups.
  • Paperspace (DigitalOcean): Cloud GPU service (now part of DigitalOcean) offering on-demand GPU instances and notebooks for AI workloads. Comparable self-serve GPU offering for developers and small teams, though at smaller scale than Yotta.

Emerging players

  • Vast.ai: Decentralized GPU marketplace aggregating consumer and prosumer GPUs for AI training/inference. Conceptually comparable to BloomBee's decentralized inference thesis, with a more spot-market / peer-to-peer model.

Broad incumbents

  • Microsoft Azure (AI Infrastructure): Hyperscaler offering ND H100/B200 instances, Azure AI Foundry, and DGX Cloud. Both a competitor in GPU cloud and a strategic partner via Yotta's Azure AI integration, making it a critical incumbent peer.
  • Amazon Web Services (EC2 / Bedrock): Largest hyperscaler GPU cloud via EC2 P5/B200 instances and Bedrock model serving. Sets the global benchmark for pricing, scale, and enterprise features that Yotta must compete against for AI workloads.
  • Google Cloud (A3 / Vertex AI): Hyperscaler offering A3 instances with H100 GPUs and Vertex AI model serving infrastructure. Competes broadly with Yotta for enterprise AI training and inference workloads, particularly with its integrated TPUs and software stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

Yotta Labs social profiles

Digital presence

Yotta Labs compliance and trust

Trust signal

Compliance1 record

Yotta Labs financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Yotta Labs leadership team

Management profile

Number of profiles

Profiles3 records

Yotta Labs subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Yotta Labs funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Yotta Labs M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Yotta Labs

What does Yotta Labs do?

Yotta Labs provides a GPU cloud platform delivering on-demand, elastic GPU compute for AI training, inference, and fine-tuning, powered by NVIDIA H100/200 and B200/300 GPUs. The platform offers serverless deployment options with one-click launch templates, automatic scaling, and persistent storage across 20+ global regions, complemented by an AI Gateway for multi-model API routing and Quantization tools for model compression. Open-source offerings include BloomBee decentralized LLM inference, NeuronMM memory management, and Yotta AMD Kernel for alternative hardware acceleration.

Is Yotta Labs a public or private company?

Yotta Labs is a private company. It is classified as venture growth investor backed and is currently operating.

When was Yotta Labs founded?

Yotta Labs was founded in 2024. It employs 1 to 10 people.

Where is Yotta Labs based?

Yotta Labs is headquartered in Seattle, United States, in the North America region.

How does Yotta Labs make money?

Three revenue lines are on record. GPU Cloud Computing (Usage-based) is the primary driver. The others are AI Infrastructure Deployment and enterprise Cloud Services.

Who are Yotta Labs's main competitors?

Direct peers on record are CoreWeave, Lambda Labs, Crusoe Energy, Together AI, RunPod and Paperspace (DigitalOcean). Vast.ai is listed as an emerging player. Broad incumbents are Microsoft Azure (AI Infrastructure), Amazon Web Services (EC2 / Bedrock) and Google Cloud (A3 / Vertex AI).

Does Yotta Labs have an API?

No public API is recorded for Yotta Labs.

What industry is Yotta Labs in?

Yotta Labs's product category is AI Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAG, AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers), with a secondary code of HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 5182 and its SIC code is 7372.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals
YahooYotta Plans IPO ‘Very Soon’ to Keep Up With AI Demand, CEO SaysYotta Data Services is in talks to list on capital markets to meet AI demand, with an IPO that could raise up to $900 million. CEO Sunil Gupta said the company targets a valuation of $6 billion, and expects to reach 400 megawatts of capacity in 12-18 months.AInvestGorilla's $232M Funding Jumpstarts a $4.2B Asian AI Build-Now Execution Does the TalkingGorilla (GRRR) has secured $232 million in aggregate gross proceeds from two bond financings to accelerate AI infrastructure projects across India, Indonesia, and Thailand, with a $1.4 billion Southeast Asia contract as the primary vehicle. The funding shifts investor focus from financing mechanics to execution, with the company citing Yotta deployments ahead of schedule in India and highlighting NeutraDC Batam as the clearest near-term test of visible construction progress. Short interest stands at 21.19% of float as the market continues to price financing risk more heavily than delivery risk, following a 28.38% share price drop upon the convertible bond announcement.AI CERTsIndia GPUs: National Mission Hits 38,000 AcceleratorsIndia's government-backed AI Mission has deployed over 38,000 GPUs across multiple data centers through the IndiaAI Compute Portal, growing from 20,000 units in March 2025 to reach this milestone by December. The accelerators are available at subsidized rates around Rs 65 per GPU hour, with major allocations including 4,096 H100 GPUs to Sarvam AI. Cloud providers Yotta, E2E Networks, NxtGen, and Jio Platforms serve as the primary infrastructure operators, while international silicon vendors including NVIDIA, AMD, and Google supply the underlying chips.AicoinYotta Labs Receives Funding from the U.S. National Science Foundation to Advance Decentralized AIYotta Labs has received $300,000 in funding from the U.S. National Science Foundation to develop a decentralized artificial intelligence computing operating system called DeAI OS, designed to improve AI training and inference efficiency through cross-cloud interoperability while reducing costs. The company has also secured additional investments from Big Brain Holdings, Eden Block, and Mysten Labs. This funding and investment support Yotta Labs' push into decentralized AI infrastructure development.EIN PresswireYotta Labs Awarded Grant from the U.S. National Science Foundation to Advance Decentralized AIYotta Labs, Inc. has been awarded a $300,000 Small Business Innovation Research (SBIR) grant from the U.S. National Science Foundation to develop its Decentralized AI Computing Operating System (DeAI OS). The technology aims to reduce AI computing costs by up to 80% compared to centralized cloud providers by utilizing idle or underutilized GPUs worldwide. The grant will support R&D to enable efficient AI workload scheduling across geo-distributed, heterogeneous computing resources, potentially broadening access to compute-intensive research for enterprises and academia.