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NeevCloud

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uuid0006qre

Namestring
NeevCloud
Legal namestring
NeevAI SuperCloud Private Limited
Websiteurl
neevcloud.com
Company typeenum
Private
Founded yearint
2023
Descriptiontext

NeevCloud (legal entity: NeevAI SuperCloud Private Limited) is an India-headquartered AI infrastructure provider operating as a subsidiary of RackBank Datacenters Private Limited. Founded in 2023 and based in Indore with operational offices in Bengaluru and Mumbai, the company positions itself as India's first sovereign AI Supercloud, offering GPU compute, AI inference, storage, and managed AI services within Indian data jurisdiction. The platform supports NVIDIA H100, H200, B200, B300, A100, and RTX 5090 GPUs as well as AMD MI300X, with AI SuperClusters scaling from 1,000 to 16,000 GPUs interconnected via 3.2 Tbps InfiniBand. Proprietary technologies include patent-protected VARUNA liquid immersion cooling (1.03 PUE, 60% hardware failure reduction, 10x computational density) and the patent-pending ORION orbital AI inference network targeting sub-10ms global latency through LEO satellites. Supporting infrastructure includes Zata S3-compatible object storage, Utho Kubernetes Engine, AI Factory colocation (1 MW to 300+ MW modular campuses with 20 MW live today), and Agentic Studio for secure AI agent sandbox execution in regulated industries.

The company's product portfolio spans on-demand and reserved GPU instances, multi-year HGX H100 enterprise commitments (36-48 month terms), AI On-Prem fully-racked SuperCluster hardware sales, Tally-on-Cloud and traditional CPU cloud hosting (Avatar). Revenue mechanics combine usage-based GPU rental (H200 at ~₹229/GPU/hour, HGX H100 from $1.69/GPU/hour on 48-month upfront), subscription CPU tiers (₹739–₹7,180/month), managed cluster deployment, and hardware sales. Go-to-market is hybrid: self-serve PLG console for SMBs and individuals, enterprise field sales targeting large organizations with 11,000-GPU LOIs, a channel partner program with deal registration, and event-driven demand generation at NVIDIA GTC, KubeCon, and RAISE Summit. CEO Narendra Sen has disclosed plans to raise up to USD 1.2 billion to scale to 40,000 GPUs and 300+ MW capacity, with Rs 700 crore already mobilised for the Raipur data centre and USD 50 million committed to Nvidia B300 chips. Current revenue sits at USD 1-2 million with a projected USD 200-220 million ARR by FY27.

NeevCloud serves a hybrid customer base of AI startups and SMBs (VideoVerse, AIchanakya, Desi Vocals, GPU.net, MSG91, Shakti Pumps, Liqvd Asia), mid-market channel partners, and large enterprise/government accounts with sovereign AI requirements. Certifications include SOC 2 Type II, ISO 27001, ISO 27017, ISO 27018, ISO 20000-1, and ISO 9001, supporting regulated workloads in BFSI, healthcare, and government. The differentiation thesis rests on India's data sovereignty mandates, a cost advantage of roughly 15 cents per GPU hour versus an industry norm of 45 cents (enabled by Tier-II renewable power), and forward-looking bets on orbital compute and hyperscale AI factory capacity that target India's projected $21.1 billion sovereign cloud market by 2033.

Short descriptiontext

NeevCloud is an India-based sovereign AI infrastructure provider offering GPU cloud compute, AI inference, storage, and orbital compute services to AI startups, enterprises, and government clients across regulated industries.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersBangalore, India
HQ citystring
Bangalore
HQ countrystring
India
HQ regionstring
Asia
Markets served

Serves global market

Offices6 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
GPU cloud computing, AI cloud infrastructure, sovereign cloud services, GPU server rental, AI inference platform
Industry4 codes
1AI Compute Cloud & GPU-as-a-Service
CodeHDAAAAAKPrimaryYes
2AI Datacenter Power, Cooling & Racks (liquid cooling, power delivery)
CodeHDAAAAAHPrimaryNo
3GPU-Accelerated & AI Training/Inference Servers
CodeHDACABAGPrimaryNo
4AI Server Systems & HGX/Accelerator Platforms
CodeHDAAAAABPrimaryNo
NAICS code2 codes
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Equipment Rental & Leasing, Nec7359
  • Services-Computer Processing & Data Preparation7374
Product category
Cloud Infrastructure / AI GPU Cloud Computing
GTM motion4 records

Each record includes

Type, Description, Source

Revenue model5 records
1GPU Cloud Computing Rental
TypeUsage Based
Description

On-demand and reserved GPU compute instances billed per hour. Customers rent NVIDIA GPUs (H100, H200, A100, RTX 5090, etc.) for AI training, inference, and HPC workloads. Prepaid billing model with hourly, monthly, and annual commitment options.

neevcloud.com
2CPU Cloud Computing
TypeSubscription Recurring
Description

Cloud server instances with Intel Xeon and AMD Epyc processors for general workloads. Billed monthly with tiered pricing based on vCPU, RAM, and storage configurations.

neevcloud.com
3AI SuperCluster Enterprise Deployment
TypeManaged Services
Description

Dedicated large-scale GPU cluster deployments for enterprise AI factories. Custom configurations with 256-4096+ nodes, long-term commitments, and enterprise SLA.

neevcloud.com
4AI On-Prem Solutions
TypeHardware Sales
Description

Sale and deployment of fully-racked, configured NeevCloud SuperClusters delivered for installation in customer data centers. Includes white-glove support and HPC cluster setup.

neevcloud.com
5Object Storage (Zata)
TypeSubscription Recurring
Description

S3-compatible object storage service with tiered pricing from 1TB to 100TB+ capacity. No egress fees within region.

neevcloud.com
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels6 records

Each record includes

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

Cost components6 values
Infrastructure, Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations
Pricing details11 tiers
1NVIDIA H200 - Flagship GPU - 141 GB vRAM
ModelUsage-basedBilling cadencePay-as-you-go
Notes

₹229/GPU/hour (~₹1,64,894 per month). 20 vCPU, 192 GB RAM, 100 GB storage. Lead time 1 month.

neevcloud.com
2NVIDIA H100 - 80 GB vRAM
ModelUsage-basedBilling cadencePay-as-you-go
Notes

₹191/GPU/hour (~₹1,37,297 per month). 20 vCPU, 125 GB RAM, 100 GB storage.

neevcloud.com
3NVIDIA A100 - 80 GB vRAM
ModelUsage-basedBilling cadencePay-as-you-go
Notes

₹126/GPU/hour (~₹91,073 per month). 12 vCPU, 125 GB RAM, 100 GB storage.

neevcloud.com
4NVIDIA RTX 5090 - Best Value - 32 GB vRAM
ModelUsage-basedBilling cadencePay-as-you-go
Notes

₹94/GPU/hour (~₹67,615 per month). 16 vCPU, 96 GB RAM, 100 GB storage.

neevcloud.com
5General Purpose - Nano
ModelSubscriptionBilling cadenceMonthly
Notes

2 vCPU, 2 GB RAM, 20 GB storage. ₹739/month.

neevcloud.com
6General Purpose - VelocityVortex
ModelSubscriptionBilling cadenceMonthly
Notes

8 vCPU, 16 GB RAM, 20 GB storage. ₹2,700/month (was ₹4,300).

neevcloud.com
7Memory Optimized - Titan Thunder
ModelSubscriptionBilling cadenceMonthly
Notes

16 vCPU, 64 GB RAM, 20 GB storage. ₹7,180/month (was ₹10,380).

neevcloud.com
8NVIDIA HGX H100 SXM5 - 8xH100 - Upfront Payment
ModelUsage-basedBilling cadenceMulti-year contract
Notes

Cluster 256-4096 nodes. $1.69/GPU/hr with 48-month term, 100% upfront payment. $1.89/GPU/hr for 36-month term.

neevcloud.com
9NVIDIA HGX H100 SXM5 - Monthly Payment Model
ModelSubscriptionBilling cadenceMulti-year contract
Notes

$3.49/GPU/hr for 12-month term (deposit 20%), $2.99/GPU/hr for 24-month term (save 13%), $2.49/GPU/hr for 36-month term (save 28%). GPU range 8-2048.

neevcloud.com
10NVIDIA GB200 NVL72 (B200) - Global Location
ModelUsage-basedBilling cadencePay-as-you-go
Notes

$5.00/GPU/hr (₹451.31). 40% lower than competitors. Sub-15ms latency. 100% India-hosted.

neevcloud.com
11Sovereign Cloud Market Position
ModelOtherBilling cadencePay-as-you-go
Notes

Customers experiencing average 30% TCO reduction. India's sovereign cloud market projected to reach $21.1 billion by 2033 at 27.9% CAGR.

varindia.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

NeevCloud operates India's first AI Supercloud, providing GPU-based cloud infrastructure for AI training, fine-tuning, and real-time inference. The company sells on-demand and reserved GPU compute (NVIDIA H100, H200, B200, A100, AMD MI300X), dedicated AI SuperCluster deployments, CPU cloud instances, S3-compatible object storage (Zata), managed Kubernetes, and on-premises SuperCluster installations, underpinned by patent-protected VARUNA liquid immersion cooling and the ORION orbital inference network.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 57% cost savings on AI superclusters compared to GPU instances
+6 more records
Product overview1 text field

NeevCloud is India's first AI Supercloud, a full-stack AI-native infrastructure platform combining multiple products and services. The core AI SuperCloud platform provides GPU compute (AI SuperCluster), AI inference, and storage services. GPU infrastructure spans NVIDIA H100, H200, B200, A100, RTX 5090, and AMD MI300X with InfiniBand networking up to 3.2 Tbps. Supporting services include AI Factory (colocation), AI On-Prem (on-premises deployment), Varuna (liquid immersion cooling), Zata (object storage), Project Orion (orbital AI inference network), Agentic Studio (AI agent sandbox), and Kubernetes management. CPU cloud services include Avatar virtual instances and Tally on Cloud. The platform is 100% India-hosted with no vendor lock-in and transparent per-hour or committed pricing.

Product and service5 records
1AI SuperCloud
CategoryAI Cloud Platform
Description

India's first AI Supercloud platform providing full-stack, end-to-end AI-native infrastructure for large-scale model training, fine-tuning, and real-time inference. Combines GPU compute, AI inference, storage, and enterprise features in a unified sovereign cloud offering for developers, AI teams, and organizations.

2AI SuperCluster
CategoryGPU Cluster Computing
Description

Dedicated GPU cluster service featuring NVIDIA H100, H200, A100, and AMD MI300X GPUs with InfiniBand networking up to 3.2 Tbps. Scales from 1,000 to 16,000 GPUs for enterprise AI and HPC workloads. Available on-demand or reserved with commitment discounts up to 38%.

3AI Factory
CategoryData Center Colocation
Description

High-capacity colocation solution for deploying AI Super Clusters at scale. Features 1.03 PUE efficiency, 150 kW/rack power density, 300+ MW capacity, and 16,000+ GPUs per data hall. Power from $0.05/kWh with direct-to-chip liquid cooling. Currently 20MW live capacity.

4VARUNA Liquid Immersion Cooling
CategoryData Center Cooling Technology
Description

India's first liquid immersion cooling system for data centers. Achieves 1.03 PUE, reduces hardware failure by ~60%, and provides up to 10x computational density. Supports power density of 50-80 kW per rack with direct-to-chip cooling. Patent-protected technology.

5Zata Object Storage
Scale indicator14 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-02-12
Description

MoU signed February 2026 to build India's first AI-powered data centre in space. NeevCloud deploying AI inference nodes in Low Earth Orbit using Agnikul's convertible upper-stage technology. First pilot launch scheduled before end of 2026, scaling to 600+ orbital edge data centres by 2030. Jointly targeting $255 billion global AI inference market.

Strategic tierCoreTypeTechnology or Integration
Description

GPU technology partner providing H100, H200, A100, and B200 GPUs. NeevCloud offers early access to latest NVIDIA GPUs and participates in NVIDIA GTC events. Part of NVIDIA GPU Cloud partner ecosystem.

Strategic tierCoreTypeTechnology or Integration
Description

AMD MI300X GPU clusters available for AI inference and HPC workloads. Partnership enables multi-GPU vendor strategy for diverse AI workloads.

Strategic tierCoreTypeTechnology or Integration
Description

Two-phase liquid cooling technology partnership. ZutaCore's HyperCool technology reduces water usage by up to 90% and energy consumption by 40% for next-generation chips like NVIDIA GB200.

Recent move9 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

India's largest NVIDIA H100 GPU cloud deployment partner, offering Shakti Cloud AI infrastructure. Direct competitor for large enterprise and government sovereign AI workloads with significantly larger capital backing.

TypeDirect peer
Description

GPU cloud provider specializing in AI training and inference with NVIDIA H100/H200 clusters. Comparable in GPU-focused product positioning, developer self-serve motion, and serving AI startups and researchers.

TypeDirect peer
Description

Sustainable GPU cloud provider leveraging stranded/renewable energy to deliver cost-competitive AI compute. Closely mirrors NeevCloud's energy-cost-driven cost advantage thesis and AI infrastructure focus.

TypeDirect peer
Description

Global cloud provider offering GPU instances (H100, A100) on hourly billing with self-serve onboarding. Comparable in product-led growth model, transparent pricing, and broad geographic footprint.

TypeDirect peer
Description

AI-focused cloud platform offering GPU compute for training and inference with emphasis on open-source LLMs. Comparable as AI-native cloud with similar developer and enterprise AI customer base.

TypeBroad incumbent
Description

Hyperscaler with EC2 P5/P4 GPU instances and Bedrock AI services. The dominant incumbent NeevCloud competes against in India, offering global scale and unmatched breadth but without India sovereign positioning.

TypeDirect peer
Description

Indian GPU cloud provider offering NVIDIA GPUs (H100, A100) with similar sovereign-cloud positioning and competitive pricing aimed at Indian AI startups and enterprises. Most directly comparable domestic peer in product and target market.

TypeDirect peer
Description

US-based GPU cloud specialist built on NVIDIA HGX H100/H200 platforms with InfiniBand networking for AI training and inference. Closest global comparable in technology stack, scale ambition, and GPU-first positioning.

TypeBroad incumbent
Description

Hyperscaler offering ND H100 v5 instances and Azure OpenAI services. Competes directly for enterprise AI workloads in India with deep enterprise relationships that NeevCloud must displace.

TypeBroad incumbent
Description

European cloud provider with GPU instances and emphasis on data sovereignty. Comparable as an incumbent sovereign-cloud alternative, though broader portfolio and Europe-focused rather than India-focused.

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 risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers7 records

Each record includes

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

Segment5 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
Yes

Docs URL, Description

Integration21 records

Each record includes

Title, Type, Description, Source

AI capability16 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles13 records

Each record includes

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

No data
Compliance6 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

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

Investors

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 →

NeevCloud

Cloud Infrastructure / AI GPU Cloud Computingneevcloud.com

NeevCloud is an India-based sovereign AI infrastructure provider offering GPU cloud compute, AI inference, storage, and orbital compute services to AI startups, enterprises, and government clients across regulated industries.

What NeevCloud does

NeevCloud (legal entity: NeevAI SuperCloud Private Limited) is an India-headquartered AI infrastructure provider operating as a subsidiary of RackBank Datacenters Private Limited. Founded in 2023 and based in Indore with operational offices in Bengaluru and Mumbai, the company positions itself as India's first sovereign AI Supercloud, offering GPU compute, AI inference, storage, and managed AI services within Indian data jurisdiction. The platform supports NVIDIA H100, H200, B200, B300, A100, and RTX 5090 GPUs as well as AMD MI300X, with AI SuperClusters scaling from 1,000 to 16,000 GPUs interconnected via 3.2 Tbps InfiniBand. Proprietary technologies include patent-protected VARUNA liquid immersion cooling (1.03 PUE, 60% hardware failure reduction, 10x computational density) and the patent-pending ORION orbital AI inference network targeting sub-10ms global latency through LEO satellites. Supporting infrastructure includes Zata S3-compatible object storage, Utho Kubernetes Engine, AI Factory colocation (1 MW to 300+ MW modular campuses with 20 MW live today), and Agentic Studio for secure AI agent sandbox execution in regulated industries.

The company's product portfolio spans on-demand and reserved GPU instances, multi-year HGX H100 enterprise commitments (36-48 month terms), AI On-Prem fully-racked SuperCluster hardware sales, Tally-on-Cloud and traditional CPU cloud hosting (Avatar). Revenue mechanics combine usage-based GPU rental (H200 at ~₹229/GPU/hour, HGX H100 from $1.69/GPU/hour on 48-month upfront), subscription CPU tiers (₹739–₹7,180/month), managed cluster deployment, and hardware sales. Go-to-market is hybrid: self-serve PLG console for SMBs and individuals, enterprise field sales targeting large organizations with 11,000-GPU LOIs, a channel partner program with deal registration, and event-driven demand generation at NVIDIA GTC, KubeCon, and RAISE Summit. CEO Narendra Sen has disclosed plans to raise up to USD 1.2 billion to scale to 40,000 GPUs and 300+ MW capacity, with Rs 700 crore already mobilised for the Raipur data centre and USD 50 million committed to Nvidia B300 chips. Current revenue sits at USD 1-2 million with a projected USD 200-220 million ARR by FY27.

NeevCloud serves a hybrid customer base of AI startups and SMBs (VideoVerse, AIchanakya, Desi Vocals, GPU.net, MSG91, Shakti Pumps, Liqvd Asia), mid-market channel partners, and large enterprise/government accounts with sovereign AI requirements. Certifications include SOC 2 Type II, ISO 27001, ISO 27017, ISO 27018, ISO 20000-1, and ISO 9001, supporting regulated workloads in BFSI, healthcare, and government. The differentiation thesis rests on India's data sovereignty mandates, a cost advantage of roughly 15 cents per GPU hour versus an industry norm of 45 cents (enabled by Tier-II renewable power), and forward-looking bets on orbital compute and hyperscale AI factory capacity that target India's projected $21.1 billion sovereign cloud market by 2033.

NeevCloud firmographics

Firmographics
Name
NeevCloud
Legal name
NeevAI SuperCloud Private Limited
Website
https://neevcloud.com
Company type
Private
Founded year
2023
Operating status
Operating
Headcount range
51–100 employees
Short description
NeevCloud is an India-based sovereign AI infrastructure provider offering GPU cloud compute, AI inference, storage, and orbital compute services to AI startups, enterprises, and government clients across regulated industries.
Ownership category
akta.pro rank

NeevCloud industry classification

Industry
Product category
Cloud Infrastructure / AI GPU Cloud Computing
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Systems Design and Related Services (54151)
SIC
Services-Equipment Rental & Leasing, Nec (7359), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry
AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
akta.pro secondary industries
AI Datacenter Power, Cooling & Racks (liquid cooling, power delivery) (HDAAAAAH), GPU-Accelerated & AI Training/Inference Servers (HDACABAG), AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB)

Keywords

  • GPU cloud computing
  • AI cloud infrastructure
  • Sovereign cloud services
  • GPU server rental
  • AI inference platform

Where NeevCloud is headquartered

Location

Headquarters

HQ city
Bangalore
HQ country
India
HQ region
Asia

Offices6 records

Markets served

NeevCloud business model

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

Revenue model

  1. GPU Cloud Computing Rental: On-demand and reserved GPU compute instances billed per hour. Customers rent NVIDIA GPUs (H100, H200, A100, RTX 5090, etc.) for AI training, inference, and HPC workloads. Prepaid billing model with hourly, monthly, and annual commitment options.
  2. CPU Cloud Computing: Cloud server instances with Intel Xeon and AMD Epyc processors for general workloads. Billed monthly with tiered pricing based on vCPU, RAM, and storage configurations.
  3. AI SuperCluster Enterprise Deployment: Dedicated large-scale GPU cluster deployments for enterprise AI factories. Custom configurations with 256-4096+ nodes, long-term commitments, and enterprise SLA.
  4. AI On-Prem Solutions: Sale and deployment of fully-racked, configured NeevCloud SuperClusters delivered for installation in customer data centers. Includes white-glove support and HPC cluster setup.
  5. Object Storage (Zata): S3-compatible object storage service with tiered pricing from 1TB to 100TB+ capacity. No egress fees within region.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goNVIDIA H200 - Flagship GPU - 141 GB vRAM
Usage-basedPay-as-you-goNVIDIA H100 - 80 GB vRAM
Usage-basedPay-as-you-goNVIDIA A100 - 80 GB vRAM
Usage-basedPay-as-you-goNVIDIA RTX 5090 - Best Value - 32 GB vRAM
SubscriptionMonthlyGeneral Purpose - Nano
SubscriptionMonthlyGeneral Purpose - VelocityVortex
SubscriptionMonthlyMemory Optimized - Titan Thunder
Usage-basedMulti-year contractNVIDIA HGX H100 SXM5 - 8xH100 - Upfront Payment
SubscriptionMulti-year contractNVIDIA HGX H100 SXM5 - Monthly Payment Model
Usage-basedPay-as-you-goNVIDIA GB200 NVL72 (B200) - Global Location
OtherPay-as-you-goSovereign Cloud Market Position

Go-to-market motion4 records

Distribution channels6 records

Marketing channels7 records

NeevCloud product offering

Product offering

Core offering

NeevCloud operates India's first AI Supercloud, providing GPU-based cloud infrastructure for AI training, fine-tuning, and real-time inference. The company sells on-demand and reserved GPU compute (NVIDIA H100, H200, B200, A100, AMD MI300X), dedicated AI SuperCluster deployments, CPU cloud instances, S3-compatible object storage (Zata), managed Kubernetes, and on-premises SuperCluster installations, underpinned by patent-protected VARUNA liquid immersion cooling and the ORION orbital inference network.

Product overview

NeevCloud is India's first AI Supercloud, a full-stack AI-native infrastructure platform combining multiple products and services. The core AI SuperCloud platform provides GPU compute (AI SuperCluster), AI inference, and storage services. GPU infrastructure spans NVIDIA H100, H200, B200, A100, RTX 5090, and AMD MI300X with InfiniBand networking up to 3.2 Tbps. Supporting services include AI Factory (colocation), AI On-Prem (on-premises deployment), Varuna (liquid immersion cooling), Zata (object storage), Project Orion (orbital AI inference network), Agentic Studio (AI agent sandbox), and Kubernetes management. CPU cloud services include Avatar virtual instances and Tally on Cloud. The platform is 100% India-hosted with no vendor lock-in and transparent per-hour or committed pricing.

Differentiator

Problem solved

Functional benefit

Products and services

  • AI SuperCloud India's first AI Supercloud platform providing full-stack, end-to-end AI-native infrastructure for large-scale model training, fine-tuning, and real-time inference. Combines GPU compute, AI inference, storage, and enterprise features in a unified sovereign cloud offering for developers, AI teams, and organizations.
  • AI SuperCluster Dedicated GPU cluster service featuring NVIDIA H100, H200, A100, and AMD MI300X GPUs with InfiniBand networking up to 3.2 Tbps. Scales from 1,000 to 16,000 GPUs for enterprise AI and HPC workloads. Available on-demand or reserved with commitment discounts up to 38%.
  • AI Factory High-capacity colocation solution for deploying AI Super Clusters at scale. Features 1.03 PUE efficiency, 150 kW/rack power density, 300+ MW capacity, and 16,000+ GPUs per data hall. Power from $0.05/kWh with direct-to-chip liquid cooling. Currently 20MW live capacity.
  • VARUNA Liquid Immersion Cooling India's first liquid immersion cooling system for data centers. Achieves 1.03 PUE, reduces hardware failure by ~60%, and provides up to 10x computational density. Supports power density of 50-80 kW per rack with direct-to-chip cooling. Patent-protected technology.
  • Zata Object Storage

Quantifiable outcome

  • 57% cost savings on AI superclusters compared to GPU instances
  • +6 more outcomes

Companies that use NeevCloud

Customer profile

Named customers7 records

Segments5 records

Ideal customer profiles4 records

NeevCloud technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration21 records

AI capability16 records

Feature7 records

NeevCloud partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered flagship and core.

  • Agnikul CosmosflagshipStrategic or Co-development Partner · 12 February 2026MoU signed February 2026 to build India's first AI-powered data centre in space. NeevCloud deploying AI inference nodes in Low Earth Orbit using Agnikul's convertible upper-stage technology. First pilot launch scheduled before end of 2026, scaling to 600+ orbital edge data centres by 2030. Jointly targeting $255 billion global AI inference market.
  • NVIDIAcoreTechnology or IntegrationGPU technology partner providing H100, H200, A100, and B200 GPUs. NeevCloud offers early access to latest NVIDIA GPUs and participates in NVIDIA GTC events. Part of NVIDIA GPU Cloud partner ecosystem.
  • AMDcoreTechnology or IntegrationAMD MI300X GPU clusters available for AI inference and HPC workloads. Partnership enables multi-GPU vendor strategy for diverse AI workloads.
  • ZutaCorecoreTechnology or IntegrationTwo-phase liquid cooling technology partnership. ZutaCore's HyperCool technology reduces water usage by up to 90% and energy consumption by 40% for next-generation chips like NVIDIA GB200.

Scale indicators14 records

Recent moves9 records

Expansion highlights7 records

NeevCloud competitors and assessment

Company assessment

Direct peers

  • Yotta Data Services: India's largest NVIDIA H100 GPU cloud deployment partner, offering Shakti Cloud AI infrastructure. Direct competitor for large enterprise and government sovereign AI workloads with significantly larger capital backing.
  • Lambda Labs: GPU cloud provider specializing in AI training and inference with NVIDIA H100/H200 clusters. Comparable in GPU-focused product positioning, developer self-serve motion, and serving AI startups and researchers.
  • Crusoe: Sustainable GPU cloud provider leveraging stranded/renewable energy to deliver cost-competitive AI compute. Closely mirrors NeevCloud's energy-cost-driven cost advantage thesis and AI infrastructure focus.
  • Vultr: Global cloud provider offering GPU instances (H100, A100) on hourly billing with self-serve onboarding. Comparable in product-led growth model, transparent pricing, and broad geographic footprint.
  • Together AI: AI-focused cloud platform offering GPU compute for training and inference with emphasis on open-source LLMs. Comparable as AI-native cloud with similar developer and enterprise AI customer base.
  • E2E Networks: Indian GPU cloud provider offering NVIDIA GPUs (H100, A100) with similar sovereign-cloud positioning and competitive pricing aimed at Indian AI startups and enterprises. Most directly comparable domestic peer in product and target market.
  • CoreWeave: US-based GPU cloud specialist built on NVIDIA HGX H100/H200 platforms with InfiniBand networking for AI training and inference. Closest global comparable in technology stack, scale ambition, and GPU-first positioning.

Broad incumbents

  • Amazon Web Services (AWS): Hyperscaler with EC2 P5/P4 GPU instances and Bedrock AI services. The dominant incumbent NeevCloud competes against in India, offering global scale and unmatched breadth but without India sovereign positioning.
  • Microsoft Azure: Hyperscaler offering ND H100 v5 instances and Azure OpenAI services. Competes directly for enterprise AI workloads in India with deep enterprise relationships that NeevCloud must displace.
  • OVHcloud: European cloud provider with GPU instances and emphasis on data sovereignty. Comparable as an incumbent sovereign-cloud alternative, though broader portfolio and Europe-focused rather than India-focused.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

NeevCloud social profiles

Digital presence

NeevCloud compliance and trust

Trust signal

Compliance6 records

NeevCloud financial estimates

Financial estimate

Revenue estimate

Valuation estimate

NeevCloud leadership team

Management profile

Number of profiles

Profiles13 records

NeevCloud funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

NeevCloud 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 NeevCloud

What does NeevCloud do?

NeevCloud operates India's first AI Supercloud, providing GPU-based cloud infrastructure for AI training, fine-tuning, and real-time inference. The company sells on-demand and reserved GPU compute (NVIDIA H100, H200, B200, A100, AMD MI300X), dedicated AI SuperCluster deployments, CPU cloud instances, S3-compatible object storage (Zata), managed Kubernetes, and on-premises SuperCluster installations, underpinned by patent-protected VARUNA liquid immersion cooling and the ORION orbital inference network.

Is NeevCloud a public or private company?

NeevCloud is a private company. It is classified as corporate owned and is currently operating.

When was NeevCloud founded?

NeevCloud was founded in 2023. It employs 51 to 100 people.

Where is NeevCloud based?

NeevCloud is headquartered in Bangalore, India, in the Asia region.

How does NeevCloud make money?

Five revenue lines are on record. GPU Cloud Computing Rental is the primary driver. The others are CPU Cloud Computing, AI SuperCluster Enterprise Deployment, AI On-Prem Solutions and object Storage (Zata).

Who are NeevCloud's main competitors?

Direct peers on record are Yotta Data Services, Lambda Labs, Crusoe, Vultr, Together AI, E2E Networks and CoreWeave. Broad incumbents are Amazon Web Services (AWS), Microsoft Azure and OVHcloud.

Does NeevCloud have an API?

Yes. NeevCloud offers a public API for GPU cloud services enabling developers to provision, manage, and orchestrate AI infrastructure programmatically. Supports REST API access, Terraform provider for infrastructure-as-code provisioning, pre-built templates for PyTorch, TensorFlow and Stable Diffusion, and Kubernetes API integration for container orchestration. Available through docs.neevcloud.com developer portal. Developer documentation is at docs.neevcloud.com.

What industry is NeevCloud in?

NeevCloud's product category is Cloud Infrastructure / AI GPU Cloud Computing. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAAAAH, AI Datacenter Power, Cooling & Racks (liquid cooling, power delivery). Its NAICS code is 518 and its SIC code is 7359.

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The WeekHow India's private space startups are building the future after Vikram-1 successFollowing Skyroot Aerospace's Vikram-1 rocket success, multiple Indian private space startups are advancing ambitious missions, marking a shift from making small components to building complete space systems. Agnikul Cosmos is preparing Mission-02 to recover rocket boosters on an ocean barge and partnering with NeevCloud for space-based AI data centers, while Pixxel is collaborating with Sarvam AI to launch Pathfinder, a satellite with onboard AI processing capabilities, in late 2026. GalaxEye launched Mission Drishti on a SpaceX Falcon 9 in May 2026, becoming India's largest privately built Earth-observation satellite and the world's first commercial satellite combining radar and optical cameras, with additional players like Bellatrix Aerospace, EtherealX, Abyom SpaceTech, OMSPACE, and SpaceKidz India developing reusable launch systems, air-breathing propulsion, and electric propulsion technologies as part of a growing interconnected aerospace ecosystem.TechcircleNeevCloud unveils agentic studio for enterprise AIIndian sovereign AI cloud infrastructure provider NeevCloud has launched Agentic Studio, a managed execution environment enabling enterprises to securely deploy, test, and scale AI agents within India. The platform provides isolated, on-demand sandbox environments for AI agents to execute scripts, process files, and perform multi-step workflows without exposing production systems, addressing data sovereignty and secure execution concerns. The launch reflects a broader shift toward autonomous AI systems, with NeevCloud targeting growing demand for India-based AI infrastructure among regulated industries such as banking, healthcare, and government.CXOToday.comNeevCloud Launches Agentic Studio: A Sovereign, Secure Execution Environment for AI AgentsNeevCloud announced the launch of Agentic Studio, a managed secure sandbox environment purpose-built for running AI agents and code execution workloads in isolated, on-demand compute environments. The platform enables organizations to deploy, test, and scale AI-driven workflows without exposing production systems, addressing what the company calls the "execution gap" in agentic AI. By operating within India's data infrastructure, Agentic Studio targets enterprises in regulated industries such as banking, financial services, healthcare, and government sectors seeking sovereign AI execution capabilities.CXOToday.comNeevCloud showcases AI Native Sovereign SuperCloud vision at KubeCon India 2026NeevCloud participated at KubeCon + CloudNativeCon India 2026, showcasing its AI-native sovereign cloud and SuperCloud platform built on Kubernetes-native architecture. The company demonstrated its vertically integrated infrastructure stack spanning liquid-cooled data centers, GPU infrastructure, inference platforms, and developer tooling designed for enterprises deploying AI at scale. NeevCloud emphasized its vision of building sovereign, developer-first AI infrastructure for India's emerging AI ecosystem, positioning itself as an alternative to traditional hyperscaler AI offerings.BW DisruptThe New Space Race Nobody Saw ComingTwo Indian consortia—Agnikul Cosmos partnering with NeevCloud, and Pixxel partnering with Sarvam AI—are building India’s first indigenous AI-powered data centers in space, with launches scheduled for Q4 2026 and before December 2025 respectively. This development is part of a broader global race led by SpaceX and Blue Origin to establish orbital computing infrastructure, driven by nations’ strategic need for sovereign AI capabilities that cannot depend on foreign cloud providers. The initiatives aim to enable latency-sensitive, security-critical applications including missile tracking, drone operations, and real-time border surveillance.Var IndiaCloud Trends in 2026 - Multi‑Cloud, Edge, ServerlessIn 2026, cloud computing has evolved from a storage utility into distributed enterprise infrastructure, with Indian businesses shifting toward Sovereign Multi-Cloud and Edge intelligence to meet localization and latency requirements as serverless architectures become the standard for scaling AI-driven applications. Multiple technology companies are actively featured presenting strategies around sovereign cloud, edge computing, and serverless AI infrastructure, with Tata Communications, IBM, Zoho, ESDS, RackBank/NeevCloud, OVhCloud, and iLink Digital outlined as key players. The article notes that customers are experiencing an average 30% TCO reduction and projects India's sovereign cloud market will reach $21.1 billion by 2033 at 27.9% CAGR.Business News TodayWhy Indian startups are racing to build data centres in spaceIndian startups including Pixxel, Agnikul Cosmos, NeevCloud, and TakeMe2Space are developing orbital data centers to address the power, cooling, and land constraints of terrestrial AI infrastructure. Pixxel and Sarvam AI plan to launch the Pathfinder satellite in Q4 2026 hosting data-centre-grade GPUs for sovereign AI workloads, while TakeMe2Space targets a 50-kilowatt orbital data center by 2029 following a $5-million seed round. Key challenges remain including GPU radiation hardening, data downlink bandwidth limitations, and dependency on SpaceX for launches, with scepticism from investors about whether economics will work ahead of technical reality.MintMint Explainer: Why India’s space data centre dreams could be far-fetched | MintFour Indian startups have partnered with global players to develop AI data centres in orbit, with Agnikul Cosmos partnering with NeevCloud and Sarvam partnering with Pixxel for space-based computing initiatives. However, experts argue these ambitions face practically infinite challenges including massive capital requirements, complex engineering hurdles with heat shields and solar exposure, and fundamental limitations in satellite data transmission latency that cannot meet AI's demands for high-bandwidth, low-latency connectivity. The article concludes that India's space data centre claims are premature, noting that most involved companies lack relevant satellite or data centre expertise and that successful execution would require decades of R&D and billions of dollars.The Times of IndiaIndia Eyes Orbital Datacenters for AI, Data SovereigntyNeevCloud has partnered with Agnikul Cosmos to launch India's first indigenous AI-powered datacenter in space, with a pilot scheduled before the end of 2026. The initiative aims to leverage orbital environments for unlimited solar power and efficient heat dissipation to address terrestrial constraints like energy usage and latency. Other entities including TakeMe2Space, the Department of Space, and ISRO are also exploring or developing similar orbital infrastructure for AI inferencing and data sovereignty.Computer WeeklyIndia aims for the stars with orbital datacentresNeevCloud and spacetech startup Agnikul Cosmos announced a partnership in February 2026 to launch India's first indigenous AI-powered datacentre in space, with a pilot expected before the end of 2026. The orbital facility aims to leverage unlimited solar power, achieve sub-15ms latency, and address data sovereignty requirements for sectors like defence and healthcare, while also reducing dependence on terrestrial infrastructure constrained by power, cooling, and land limitations. Several other space startups including TakeMe2Space and EON Space Labs are also developing orbital datacentres, with ISRO and the Department of Space separately exploring the feasibility of placing physical datacentres in orbit.