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Corvex

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uuid003tocf

Namestring
Corvex
Legal namestring
Corvex, Inc.
Websiteurl
corvex.ai
Company typeenum
Public
Founded yearint
2026
Descriptiontext

Corvex is an AI cloud computing company that builds GPU-accelerated infrastructure and confidential computing services for AI workloads. The company became public on NASDAQ under ticker MOVE in March 2026 through an all-stock reverse merger with Movano Inc., in which pre-merger Corvex stockholders retained approximately 96.2% ownership. Headquartered in Arlington, Virginia and Delaware-incorporated, Corvex operates with an 11-50 employee headcount focused on AI infrastructure rather than consumer or enterprise software outside that scope.

The platform centers on the AmplifiedAI Cloud, comprising the AI Factory (deployments from 1,000 to 100,000 GPUs), GPU Clusters built on NVIDIA H200, B200, B300, and GB200 NVL72 silicon deployed via bare metal, Kubernetes, or SLURM in Tier III+ data centers with N+N/N+1 redundancy across power, UPS, generators, cooling, and network. The differentiating layer is Corvex Confidential Computing, which leverages NVIDIA Confidential Computing and Intel TDX Trusted Execution Environments to provide patent-pending Secure Model Weights protection, enabling AI builders to run inference on third-party infrastructure without exposing proprietary model weights. Adjacent offerings include the Corvex Ignite Inference Engine, an Inference-as-a-Service reserved private endpoint product, and the announced Token Factory platform.

Corvex monetizes via four streams: subscription-based GPU cluster leasing (multi-year reserved contracts), usage-based inference priced in predictable GPU-hours rather than tokens, managed confidential computing services, and on-premise GPU solutions. Go-to-market is enterprise-direct with white-glove engineering support, targeting three primary segments: AI model builders and AI natives, regulated enterprises (healthcare, finance), and federal and sovereign entities via a Washington D.C.-based sales team. Compliance certifications include SOC2 Type II and HIPAA. Q1 2026 stub-period revenue of $510,000 against $4.4M deferred revenue and $29.3M cash suggests a very early commercial stage following the public listing.

Short descriptiontext

Corvex is a public AI cloud computing company providing GPU-accelerated infrastructure and patent-pending confidential computing services to AI model builders, regulated enterprises, and federal customers using NVIDIA H200/B200/B300 GPUs in Tier III+ data centers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersArlington, United States
HQ citystring
Arlington
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
GPU cloud infrastructure, AI cloud computing, confidential computing, GPU-as-a-service, AI inference platforms
Industry5 codes
PRIMARYHDAAAAAK
AI Compute Cloud & GPU-as-a-Service
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDACABAG
GPU-Accelerated & AI Training/Inference Servers
SECONDARYHDAAAAAG
AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDAAAAAI
AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDAAAAAH
AI Datacenter Power, Cooling & Racks (liquid cooling, power delivery)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
NAICS code2 codes
  • Computer Systems Design and Related Services5415
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518
SIC code2 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
AI Cloud Infrastructure
Social media profiles2 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model4 records
1GPU-as-a-Service (AI Factory)
TypeSubscription Recurring
Description

Industrial-scale GPU computing with 1K-100K GPUs for model training and fine-tuning. Provides reserved clusters, managed Kubernetes platform, and on-premise GPU solutions.

corvex.ai
2Inference-as-a-Service
TypeUsage Based
Description

Single-tenant GPU inference with reserved private endpoints. Predictable GPU-hour pricing that beats per-token costs for workloads over 100k tokens/min. Features 42% lower TTFT than shared inference.

corvex.ai
3Confidential Computing Services
TypeManaged Services
Description

Hardware-enforced security services including Secure Model Weights protection for sensitive AI workloads. Available as managed cloud or downloadable software for on-premise deployment.

corvex.ai
4GPU Cluster Leasing
TypeSubscription Recurring
Description

Long-term dedicated GPU cluster deployments including hyperscaler-class managed Kubernetes platform and secure on-premise GPU solutions.

corvex.ai
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

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

Cost components6 values
Technology or R&D, Infrastructure, Supply Chain, Personnel, Marketing or Sales, Operations
Pricing details3 tiers
1GPU Clusters - Reserved dedicated capacity
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Predictable GPU-hour pricing with no hidden charges for ingress or egress. Networking included with free redundant Internet with DDoS protection.

corvex.ai
2Inference-as-a-Service - Reserved Private Endpoints
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Predictable GPU-hour pricing that beats per-token costs for workloads over 100k tokens/min. No payload retention policy.

corvex.ai
3Enterprise Solutions
ModelSubscriptionBilling cadenceAnnual
Notes

Flexible deployment options including bare metal, Kubernetes, or SLURM. SOC2 Type II and HIPAA compliant.

corvex.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Corvex provides GPU-accelerated AI cloud computing infrastructure under its AmplifiedAI Cloud platform, featuring GPU clusters with NVIDIA H200/B200/B300/GB200 GPUs, industrial-scale AI Factory deployments (1K-100K GPUs), and Inference-as-a-Service with reserved private endpoints. The company's flagship differentiator is confidential computing with the patent-pending Secure Model Weights solution, which uses hardware-enforced Trusted Execution Environments to protect AI model weights during inference on third-party GPU infrastructure.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 42% lower TTFT (time-to-first-token) than shared inference via custom SGLang optimizations
+2 more records
Product overview1 text field

Corvex operates as a platform-plus-modules architecture offering GPU-accelerated AI cloud computing infrastructure. The core AmplifiedAI Cloud platform consists of AI Factory for industrial-scale computing (1K-100K GPUs), GPU Clusters for high-density compute, and Inference-as-a-Service for reserved private endpoints. Security-focused modules include Confidential Computing (CorvexConfidential) with its Secure Model Weights and Secure Inference sub-modules. Additional offerings include the Corvex Ignite Inference Engine for cost-optimized inference and the upcoming Token Factory platform. All offerings run on NVIDIA H200/B200/B300 GPUs in Tier III+ data centers with SOC2 and HIPAA compliance.

Product and service7 records
1AmplifiedAI Cloud
CategoryAI Cloud Platform
Description

Corvex's flagship AI cloud platform delivering scalable GPU workloads with industrial-grade performance, security, and managed operations, providing GPU-accelerated infrastructure for AI workloads including training, fine-tuning, and inference.

2AI Factory
CategoryGPU Cloud Computing
Description

Industrial-scale AI computing platform supporting deployments from 1,000 to 100,000 GPUs for frontier AI model training and large-scale compute workloads at hyperscaler scale with white-glove managed operations.

3GPU Clusters
CategoryGPU Cloud Computing
Description

High-density GPU compute clusters featuring the latest generation NVIDIA GPUs (H200, B200, B300) with fast networking, enterprise-grade reliability, and flexible deployment options including bare metal, Kubernetes, or SLURM in Tier III+ data centers.

4Inference-as-a-Service
CategoryAI Inference Services
Description

Reserved private endpoint GPU inference service for teams requiring predictable performance, with dedicated GPU-hour economics, ultra-low latency (42% lower TTFT via custom SGLang optimizations), multi-model sharing on the same reserved hardware, and SOC2 Type II/HIPAA compliance with zero payload retention.

5Confidential Computing (CorvexConfidential)
CategoryConfidential Computing
Description

Hardware-enforced security platform providing verifiable protection for sensitive AI workloads using Trusted Execution Environments (TEEs), remote attestation, and cryptographic isolation, covering Confidential VM and managed Kubernetes deployments.

6Secure Model Weights
CategoryConfidential Computing
Description

Patent-pending hardware-enforced cryptographic protection for AI model weights during inference on third-party GPU infrastructure, using NVIDIA Confidential Computing and TEEs to keep model weights cryptographically isolated within GPU memory, with post-quantum ML-KEM key exchange.

7Corvex Ignite Inference Engine
CategoryAI Inference Services
Description

High-performance inference platform designed to dramatically reduce cost per token and improve time-to-first-token (TTFT), enabling AI model builders to optimize spend and scale inference workloads cost-effectively.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeTechnology or Integration
Description

Corvex is an official NVIDIA Cloud Partner with preferential GPU access. The company deploys NVIDIA H200, B200, B300, and GB200 NVL72 GPUs in its AI infrastructure. NVIDIA confidential computing technology (Hopper/Blackwell CC mode) is a core component of Corvex's Secure Model Weights protection.

Strategic tierCoreTypeTechnology or Integration
Description

Corvex leverages Intel TDX (Trust Domain Extensions) for node attestation in its confidential computing solutions. Intel TDX produces hardware attestation reports for each node as part of the remote attestation process before releasing encryption keys.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

Vast.ai operates a peer-to-peer GPU rental marketplace for AI training and inference. Overlaps with Corvex on GPU rental economics but uses a fundamentally different supply model.

TypeDirect peer
Description

Lambda is a GPU cloud provider offering reserved NVIDIA GPU clusters and on-demand inference, closely aligned with Corvex's GPU Clusters and Inference-as-a-Service products. Comparable target customers include AI startups and enterprises.

TypeOthers
Description

TeraWulf is a vertically integrated, energy-from-land crypto and HPC/AI infrastructure operator with a publicly disclosed board connection to Corvex (CFO Patrick Fleury). Provides context on publicly traded AI/HPC infrastructure peers and capital formation patterns.

TypeBroad incumbent
Description

Oracle OCI offers bare-metal GPU instances and OCI Supercluster for AI workloads at scale, with security and government-customer focus. Comparable on enterprise and federal AI infrastructure positioning against Corvex.

TypeDirect peer
Description

Together AI provides GPU cloud capacity for open-source model inference and training, including reserved endpoints. Direct peer on inference pricing and reserved private endpoint economics.

TypeEmerging player
Description

RunPod offers on-demand and reserved GPU instances aimed at AI developers and startups. Comparable on Inference-as-a-Service and small-to-mid reserved GPU cluster deployments, though typically smaller scale than Corvex.

TypeBroad incumbent
Description

Equinix provides colocation and interconnection for AI workloads via dedicated GPU-equipped data centers. Overlaps with Corvex on Tier III+ data center footprint and enterprise deployment support, though business model is colocation not GPU-as-a-service.

TypeDirect peer
Description

CoreWeave is the leading independent GPU-as-a-service cloud provider built on NVIDIA hardware. It is the most direct comparable to Corvex's AI Factory/GPU Clusters offering for AI training and inference workloads at industrial scale.

TypeDirect peer
Description

Crusoe operates large-scale, energy-optimized AI data centers and GPU cloud infrastructure for training and inference, with a similar emphasis on industrial-scale (1K+ GPU) deployments. Shares the 'AI factory' positioning with Corvex.

TypeBroad incumbent
Description

NVIDIA's own DGX Cloud offers fully managed NVIDIA AI infrastructure through hyperscaler partners. Directly competes with Corvex's AmplifiedAI Cloud while also being a strategic partner (the NVIDIA Cloud Partner program).

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

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

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles12 records

Each record includes

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

No data
Compliance3 records

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

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&A1 record

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 →

Corvex

AI Cloud Infrastructurecorvex.ai

Corvex is a public AI cloud computing company providing GPU-accelerated infrastructure and patent-pending confidential computing services to AI model builders, regulated enterprises, and federal customers using NVIDIA H200/B200/B300 GPUs in Tier III+ data centers.

What Corvex does

Corvex is an AI cloud computing company that builds GPU-accelerated infrastructure and confidential computing services for AI workloads. The company became public on NASDAQ under ticker MOVE in March 2026 through an all-stock reverse merger with Movano Inc., in which pre-merger Corvex stockholders retained approximately 96.2% ownership. Headquartered in Arlington, Virginia and Delaware-incorporated, Corvex operates with an 11-50 employee headcount focused on AI infrastructure rather than consumer or enterprise software outside that scope.

The platform centers on the AmplifiedAI Cloud, comprising the AI Factory (deployments from 1,000 to 100,000 GPUs), GPU Clusters built on NVIDIA H200, B200, B300, and GB200 NVL72 silicon deployed via bare metal, Kubernetes, or SLURM in Tier III+ data centers with N+N/N+1 redundancy across power, UPS, generators, cooling, and network. The differentiating layer is Corvex Confidential Computing, which leverages NVIDIA Confidential Computing and Intel TDX Trusted Execution Environments to provide patent-pending Secure Model Weights protection, enabling AI builders to run inference on third-party infrastructure without exposing proprietary model weights. Adjacent offerings include the Corvex Ignite Inference Engine, an Inference-as-a-Service reserved private endpoint product, and the announced Token Factory platform.

Corvex monetizes via four streams: subscription-based GPU cluster leasing (multi-year reserved contracts), usage-based inference priced in predictable GPU-hours rather than tokens, managed confidential computing services, and on-premise GPU solutions. Go-to-market is enterprise-direct with white-glove engineering support, targeting three primary segments: AI model builders and AI natives, regulated enterprises (healthcare, finance), and federal and sovereign entities via a Washington D.C.-based sales team. Compliance certifications include SOC2 Type II and HIPAA. Q1 2026 stub-period revenue of $510,000 against $4.4M deferred revenue and $29.3M cash suggests a very early commercial stage following the public listing.

Corvex firmographics

Firmographics
Name
Corvex
Legal name
Corvex, Inc.
Website
https://corvex.ai
Company type
Public
Founded year
2026
Operating status
Operating
Headcount range
11–50 employees
Short description
Corvex is a public AI cloud computing company providing GPU-accelerated infrastructure and patent-pending confidential computing services to AI model builders, regulated enterprises, and federal customers using NVIDIA H200/B200/B300 GPUs in Tier III+ data centers.
Ownership category
akta.pro rank

Corvex industry classification

Industry
Product category
AI Cloud Infrastructure
NAICS
Computer Systems Design and Related Services (5415), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
SIC
Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro industry
PRIMARYHDAAAAAK
AI Compute Cloud & GPU-as-a-Service
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDACABAG
GPU-Accelerated & AI Training/Inference Servers
SECONDARYHDAAAAAG
AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDAAAAAI
AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)
SECONDARYHDAAAAAH
AI Datacenter Power, Cooling & Racks (liquid cooling, power delivery)
Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Infrastructure & Compute (GPUs/ASICs, accelerators)

Keywords

  • GPU cloud infrastructure
  • AI cloud computing
  • Confidential computing
  • GPU-as-a-service
  • AI inference platforms

Where Corvex is headquartered

Location

Headquarters

HQ city
Arlington
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Corvex business model

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

Revenue model

  1. GPU-as-a-Service (AI Factory): Industrial-scale GPU computing with 1K-100K GPUs for model training and fine-tuning. Provides reserved clusters, managed Kubernetes platform, and on-premise GPU solutions.
  2. Inference-as-a-Service: Single-tenant GPU inference with reserved private endpoints. Predictable GPU-hour pricing that beats per-token costs for workloads over 100k tokens/min. Features 42% lower TTFT than shared inference.
  3. Confidential Computing Services: Hardware-enforced security services including Secure Model Weights protection for sensitive AI workloads. Available as managed cloud or downloadable software for on-premise deployment.
  4. GPU Cluster Leasing: Long-term dedicated GPU cluster deployments including hyperscaler-class managed Kubernetes platform and secure on-premise GPU solutions.

Pricing tiers

ModelBillingPrice
Unit PricingMulti-year contractGPU Clusters - Reserved dedicated capacity
Usage-basedPay-as-you-goInference-as-a-Service - Reserved Private Endpoints
SubscriptionAnnualEnterprise Solutions

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Corvex product offering

Product offering

Core offering

Corvex provides GPU-accelerated AI cloud computing infrastructure under its AmplifiedAI Cloud platform, featuring GPU clusters with NVIDIA H200/B200/B300/GB200 GPUs, industrial-scale AI Factory deployments (1K-100K GPUs), and Inference-as-a-Service with reserved private endpoints. The company's flagship differentiator is confidential computing with the patent-pending Secure Model Weights solution, which uses hardware-enforced Trusted Execution Environments to protect AI model weights during inference on third-party GPU infrastructure.

Product overview

Corvex operates as a platform-plus-modules architecture offering GPU-accelerated AI cloud computing infrastructure. The core AmplifiedAI Cloud platform consists of AI Factory for industrial-scale computing (1K-100K GPUs), GPU Clusters for high-density compute, and Inference-as-a-Service for reserved private endpoints. Security-focused modules include Confidential Computing (CorvexConfidential) with its Secure Model Weights and Secure Inference sub-modules. Additional offerings include the Corvex Ignite Inference Engine for cost-optimized inference and the upcoming Token Factory platform. All offerings run on NVIDIA H200/B200/B300 GPUs in Tier III+ data centers with SOC2 and HIPAA compliance.

Differentiator

Problem solved

Functional benefit

Products and services

  • AmplifiedAI Cloud Corvex's flagship AI cloud platform delivering scalable GPU workloads with industrial-grade performance, security, and managed operations, providing GPU-accelerated infrastructure for AI workloads including training, fine-tuning, and inference.
  • AI Factory Industrial-scale AI computing platform supporting deployments from 1,000 to 100,000 GPUs for frontier AI model training and large-scale compute workloads at hyperscaler scale with white-glove managed operations.
  • GPU Clusters High-density GPU compute clusters featuring the latest generation NVIDIA GPUs (H200, B200, B300) with fast networking, enterprise-grade reliability, and flexible deployment options including bare metal, Kubernetes, or SLURM in Tier III+ data centers.
  • Inference-as-a-Service Reserved private endpoint GPU inference service for teams requiring predictable performance, with dedicated GPU-hour economics, ultra-low latency (42% lower TTFT via custom SGLang optimizations), multi-model sharing on the same reserved hardware, and SOC2 Type II/HIPAA compliance with zero payload retention.
  • Confidential Computing (CorvexConfidential) Hardware-enforced security platform providing verifiable protection for sensitive AI workloads using Trusted Execution Environments (TEEs), remote attestation, and cryptographic isolation, covering Confidential VM and managed Kubernetes deployments.
  • Secure Model Weights Patent-pending hardware-enforced cryptographic protection for AI model weights during inference on third-party GPU infrastructure, using NVIDIA Confidential Computing and TEEs to keep model weights cryptographically isolated within GPU memory, with post-quantum ML-KEM key exchange.
  • Corvex Ignite Inference Engine High-performance inference platform designed to dramatically reduce cost per token and improve time-to-first-token (TTFT), enabling AI model builders to optimize spend and scale inference workloads cost-effectively.

Quantifiable outcome

  • 42% lower TTFT (time-to-first-token) than shared inference via custom SGLang optimizations
  • +2 more outcomes

Companies that use Corvex

Customer profile

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Corvex 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

Feature5 records

Corvex partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • NVIDIAcoreTechnology or IntegrationCorvex is an official NVIDIA Cloud Partner with preferential GPU access. The company deploys NVIDIA H200, B200, B300, and GB200 NVL72 GPUs in its AI infrastructure. NVIDIA confidential computing technology (Hopper/Blackwell CC mode) is a core component of Corvex's Secure Model Weights protection.
  • IntelcoreTechnology or IntegrationCorvex leverages Intel TDX (Trust Domain Extensions) for node attestation in its confidential computing solutions. Intel TDX produces hardware attestation reports for each node as part of the remote attestation process before releasing encryption keys.

Scale indicators9 records

Recent moves6 records

Expansion highlights5 records

Corvex competitors and assessment

Company assessment

Emerging players

  • Vast.ai: Vast.ai operates a peer-to-peer GPU rental marketplace for AI training and inference. Overlaps with Corvex on GPU rental economics but uses a fundamentally different supply model.
  • RunPod: RunPod offers on-demand and reserved GPU instances aimed at AI developers and startups. Comparable on Inference-as-a-Service and small-to-mid reserved GPU cluster deployments, though typically smaller scale than Corvex.

Direct peers

  • Lambda Labs: Lambda is a GPU cloud provider offering reserved NVIDIA GPU clusters and on-demand inference, closely aligned with Corvex's GPU Clusters and Inference-as-a-Service products. Comparable target customers include AI startups and enterprises.
  • Together AI: Together AI provides GPU cloud capacity for open-source model inference and training, including reserved endpoints. Direct peer on inference pricing and reserved private endpoint economics.
  • CoreWeave: CoreWeave is the leading independent GPU-as-a-service cloud provider built on NVIDIA hardware. It is the most direct comparable to Corvex's AI Factory/GPU Clusters offering for AI training and inference workloads at industrial scale.
  • Crusoe: Crusoe operates large-scale, energy-optimized AI data centers and GPU cloud infrastructure for training and inference, with a similar emphasis on industrial-scale (1K+ GPU) deployments. Shares the 'AI factory' positioning with Corvex.

Others

  • TeraWulf: TeraWulf is a vertically integrated, energy-from-land crypto and HPC/AI infrastructure operator with a publicly disclosed board connection to Corvex (CFO Patrick Fleury). Provides context on publicly traded AI/HPC infrastructure peers and capital formation patterns.

Broad incumbents

  • Oracle Cloud Infrastructure (OCI): Oracle OCI offers bare-metal GPU instances and OCI Supercluster for AI workloads at scale, with security and government-customer focus. Comparable on enterprise and federal AI infrastructure positioning against Corvex.
  • Equinix: Equinix provides colocation and interconnection for AI workloads via dedicated GPU-equipped data centers. Overlaps with Corvex on Tier III+ data center footprint and enterprise deployment support, though business model is colocation not GPU-as-a-service.
  • NVIDIA DGX Cloud: NVIDIA's own DGX Cloud offers fully managed NVIDIA AI infrastructure through hyperscaler partners. Directly competes with Corvex's AmplifiedAI Cloud while also being a strategic partner (the NVIDIA Cloud Partner program).

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Corvex social profiles

Digital presence

Corvex compliance and trust

Trust signal

Compliance3 records

Corvex financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Corvex leadership team

Management profile

Number of profiles

Profiles12 records

Corvex funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors

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

Corvex M&A and investment

M&A and investment

M&A1 record

Investments

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

Frequently asked questions about Corvex

What does Corvex do?

Corvex provides GPU-accelerated AI cloud computing infrastructure under its AmplifiedAI Cloud platform, featuring GPU clusters with NVIDIA H200/B200/B300/GB200 GPUs, industrial-scale AI Factory deployments (1K-100K GPUs), and Inference-as-a-Service with reserved private endpoints. The company's flagship differentiator is confidential computing with the patent-pending Secure Model Weights solution, which uses hardware-enforced Trusted Execution Environments to protect AI model weights during inference on third-party GPU infrastructure.

Is Corvex a public or private company?

Corvex is a public company. It is classified as public and is currently operating.

When was Corvex founded?

Corvex was founded in 2026. It employs 11 to 50 people.

Where is Corvex based?

Corvex is headquartered in Arlington, United States, in the North America region.

How does Corvex make money?

Four revenue lines are on record. GPU-as-a-Service (AI Factory) is the primary driver. The others are inference-as-a-Service, confidential Computing Services and GPU Cluster Leasing.

Who are Corvex's main competitors?

Emerging players on record are Vast.ai and RunPod. Direct peers are Lambda Labs, Together AI, CoreWeave and Crusoe. TeraWulf is listed as an others. Broad incumbents are Oracle Cloud Infrastructure (OCI), Equinix and NVIDIA DGX Cloud.

Does Corvex have an API?

No public API is recorded for Corvex.

What industry is Corvex in?

Corvex's product category is AI Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDACABAG, GPU-Accelerated & AI Training/Inference Servers. Its NAICS code is 5415 and its SIC code is 7373.

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Markets DailyCorvex, Inc. (NASDAQ:MOVE) Sees Significant Increase in Short InterestCorvex's short interest rose 80.4% to 492,331 shares as of September 30, with 2.0% of shares sold short. Analysts have a consensus "Hold" rating and a $18.75 price target. The company missed Q2 earnings estimates with a loss of $5.12 per share on revenue of $3.80 million.MarketBeatCorvex, Inc. (NASDAQ:MOVE) Sees Significant Increase in Short InterestShort interest in Corvex rose 80.4% to 492,331 shares as of September 30, with 2.0% of shares sold short. Analysts have a consensus "Hold" rating and a $18.75 price target. The company missed Q2 earnings estimates with a loss of $5.12 per share on revenue of $3.80 million.TradingViewCorvex Sets Up ATM Equity Offering With Chardan; Proceeds for Working CapitalCorvex entered an at-the-market equity offering agreement with Chardan Capital Markets, signed Oct 14 2026. The company may sell shares at any time, with net proceeds intended for working capital and general corporate purposes.Markets DailyFinancial Review: Corvex (NASDAQ:MOVE) versus Backblaze (NASDAQ:BLZE)Corvex and Backblaze are compared on profitability, analyst ratings, and valuation. Backblaze beats Corvex on 8 of 14 factors, but Corvex has a higher potential upside (90.55% vs 55.35%). Corvex's beta is 0.87, indicating lower volatility than Backblaze's 1.56.Markets DailyAnalyzing Corvex (NASDAQ:MOVE) & Nomura Research Institute (OTCMKTS:NRILY)A comparison of Corvex and Nomura Research Institute evaluates risk, valuation, and profitability. Nomura Research Institute beats Corvex on 10 of 15 factors, with higher revenue and earnings. Corvex has a lower P/E ratio and a consensus price target of $18.75, suggesting potential upside.American Banking and Market NewsCorvex (NASDAQ:MOVE) versus Kingsoft Cloud (NASDAQ:KC) Critical SurveyKingsoft Cloud and Corvex are compared on profitability, valuation, analyst ratings, and risk. Kingsoft Cloud beats Corvex on 8 of 14 factors, with a consensus price target of $16.67 versus $18.75. Analysts favor Kingsoft Cloud due to its stronger rating and higher upside.DatacenterdynamicsCorvex targets 8MW of AI cloud capacity by end of 2026Corvex raised $33 million in a private placement to expand its AI cloud capacity from 1.5MW to 8MW by end of 2026. The expansion includes 2,000 GPUs at a Midwest site and 1,000 at a Mid-Atlantic site, with revenue expected from Q1 2027. It also holds a right to first refusal on an additional 12.5MW.MorningstarStocks to Watch: Ionis Pharmaceuticals, Novartis, CorvexIonis and Novartis shares fell after a Phase 3 trial for a heart disease drug missed its primary endpoint, with Ionis down 9.5% and Novartis 4.4%. Corvex reported a $26.3 million first-half loss, sending its stock down 7.5%.TradingViewCorvex Secures ~$33 Million Via Private Placement of Common and Series D Preferred StockCorvex completed a private placement on September 2, 2026, raising approximately $33 million from institutional and accredited investors. The financing included 3,904,970 common shares and 353.098 Series D preferred shares, with resale registration rights granted. The company expects the proceeds to enhance liquidity and support ongoing initiatives.Pulse 2.0Corvex Secures $33 Million PIPE As AI Data Center Capacity Targets 5x Expansion To 8 MWCorvex announced a $33 million private placement to expand its AI data center capacity from about 1.5 MW to 8 MW by end of 2026. The expansion includes doubling Mid-Atlantic capacity and adding a Midwest facility, with revenue expected in Q1 2027. A right of first refusal could push capacity above 20 MW.