Megaspeed
Megaspeed is a Singapore-based Kubernetes-native GPU cloud provider offering bare-metal AI compute, managed Kubernetes, and rendering infrastructure to AI/ML companies, VFX studios, and inference customers across Southeast Asia as an NVIDIA Cloud Partner.
- Company typePrivate
- Founded-
- HeadquartersSingapore, Singapore
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Megaspeed does
Megaspeed International Pte. Ltd. is a Singapore-incorporated AI computing company that operates a Kubernetes-native GPU cloud platform serving AI/ML, VFX rendering, and inference workloads across Southeast Asia. The platform delivers bare-metal GPU performance through a Kubernetes-deployed infrastructure that eliminates hypervisor overhead, featuring proprietary auto-scaling technology with 5-second spin-up times and scale-to-zero billing. Core products include NVIDIA HGX H100 and GB200 NVL72 systems, fully managed Kubernetes orchestration, GPU-accelerated Virtual Servers via KubeVirt, Ceph-based distributed storage with up to 1PB volumes, and Kubernetes-native networking with InfiniBand GPUDirect RDMA. Solution verticals span Machine Learning & AI training clusters (up to 16,384 H100 GPUs), Inference Service via KServe, VFX & Rendering with managed Deadline integration, and Pixel Streaming infrastructure. The company holds NVIDIA Cloud Partner (NCP) status in the Asia-Pacific region and lists Intel and Gigabyte as technology partners. Operational footprint includes Singapore headquarters at Ocean Financial Centre, a Jakarta office via PT Megaspeed International Indonesia, and two data centers (DC1, DC2) in Southeast Asia.
The business model is primarily usage-based with pay-as-you-go pricing, GPU instances starting at $0.24/hr, and no egress fees — a deliberate differentiator versus hyperscale cloud providers. Megaspeed pursues a hybrid go-to-market combining product-led self-serve acquisition via web UI, CLI, and Kubernetes API with direct enterprise sales for large-scale deployments. Headcount is reported at 1-10 employees, and the company is privately held with no disclosed institutional investors. Megaspeed faces significant regulatory scrutiny: the US Commerce Department, Singapore authorities, and Senator Tom Cotton are investigating allegations that the company diverted restricted Nvidia AI chips to China through Malaysia and Indonesia. In 2026, Bain Capital's Bridge Data Centres terminated Megaspeed's 68.4MW Malaysian capacity, reallocating it to Zenlayer. Megaspeed denies the allegations and asserts that inspections by the US Commerce Department, Malaysia's Ministry of Investment, Trade and Industry, and NVIDIA found no evidence of violations.
Megaspeed firmographics
Firmographics- Name
- Megaspeed
- Legal name
- PT Megaspeed International Indonesia
- Website
- https://megaspeed.ai
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Megaspeed is a Singapore-based Kubernetes-native GPU cloud provider offering bare-metal AI compute, managed Kubernetes, and rendering infrastructure to AI/ML companies, VFX studios, and inference customers across Southeast Asia as an NVIDIA Cloud Partner.
- Ownership category
- akta.pro rank
Megaspeed industry classification
Industry- Product category
- GPU Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computer Systems Design and Related Services (54151)
- SIC
- Electronic Computers (3571), Computer Communications Equipment (3576), Computer Storage Devices (3572)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- Managed Container Platforms (Kubernetes & Container PaaS) (HDABAAAB), GPU/Accelerator Compute Servers (HDABADAC), Cloud-Native Development (Containers, Kubernetes, Microservices) (BPAEACAD)
Keywords
Where Megaspeed is headquartered
LocationHeadquarters
- HQ city
- Singapore
- HQ country
- Singapore
- HQ region
- Asia
Offices3 records
Markets served
Megaspeed business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Supply Chain, Technology or R&D, Operations, Personnel
Revenue model
- GPU Compute Services: On-demand rental of NVIDIA GPU compute resources (H100, GB200, A100) with resource-based pricing where customers pay only for resources used
- Kubernetes Services: Fully managed Kubernetes clusters with container deployment, autoscaling, and infrastructure management included
- VFX & Rendering Services: Cloud-based rendering pipeline services with managed Deadline repositories and virtual workstations
- Inference Services: Model serving and inference deployment with serverless Kubernetes and autoscaling capabilities
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Pixel Streaming GPU instances starting at $0.24/hr |
| Usage-based | Pay-as-you-go | Resource-based pricing model |
| Usage-based | Pay-as-you-go | Scale-to-zero inference |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels2 records
Megaspeed product offering
Product offeringCore offering
Megaspeed operates a Kubernetes-native GPU cloud platform delivering bare-metal performance for AI/ML training, inference, VFX rendering, and pixel streaming workloads. The platform offers on-demand NVIDIA GPU compute (H100, GB200, A100), fully managed Kubernetes orchestration, distributed storage, and networking fabric with usage-based pricing and no egress fees. Headquartered in Singapore, it serves enterprise customers across the Asia-Pacific region through both self-serve provisioning and direct enterprise sales.
Product overview
MegaSpeed.Ai is a Kubernetes-native GPU cloud platform that delivers massively scalable AI compute infrastructure. The platform provides a unified architecture built on NVIDIA GPUs (including GB200 NVL72 and HGX H100 systems) with integrated Kubernetes orchestration, storage, and networking services. Core infrastructure products include Virtual Servers (GPU-accelerated instances via KubeVirt), Storage (Ceph-based distributed storage with up to 1PB volumes), and Networking (Kubernetes-native fabric with Infiniband GPUDirect RDMA). The company operates two data centers (DC1 and DC2) in the Asia-Pacific region and offers Direct Liquid Cooling (DLC) solutions. Solution verticals built on this infrastructure include VFX & Rendering, Machine Learning & AI, Inference Service, and Pixel Streaming. MegaSpeed.Ai holds NVIDIA Cloud Partner and NCP partner status in the APAC region.
Differentiator
Problem solved
Functional benefit
Products and services
- NVIDIA GB200 NVL72 Next-generation AI accelerator rack system featuring 36 Grace CPUs and 72 Blackwell GPUs in liquid-cooled configuration, delivering 30X faster real-time LLM inference, 4X faster LLM training, and 25X more performance per watt compared to NVIDIA H100 air-cooled infrastructure. Targeted at AI training and inference workloads.
- NVIDIA HGX H100 High-performance GPU computing platform for large-scale HPC and AI workloads, offering 7X better HPC efficiency, up to 9X faster AI training on the largest models, and up to 30X faster AI inference compared to NVIDIA HGX A100. Supports distributed training clusters of up to 16,384 H100 SXM5 GPUs under InfiniBand Fat-Tree Non-Blocking fabric.
- MegaSpeed.Ai Kubernetes Fully managed Kubernetes orchestration layer delivering bare-metal performance without infrastructure overhead. Features 5-second workload spin-up times, instant resource scaling, and support for inference, distributed training, rendering, and parallel workflow orchestration via Argo Workflows.
- Virtual Servers GPU-accelerated and CPU-only virtual server instances built on Kubernetes via KubeVirt. Deployable in seconds via UI or MegaSpeed.Ai Kubernetes API with bare-metal performance through PCI pass-through, supporting both Linux and Windows environments.
- Storage Distributed, fault-tolerant storage built on Ceph with triple replication across servers and data center racks. Offers scalable capacity from 1GB to 1PB per volume, up to 10MM+ IOPS per volume, with NVMe, HDD, and S3-compatible object storage options managed separately from compute.
- Networking Kubernetes-native network fabric with routing, switching, firewalling, and load-balancing. Features InfiniBand GPUDirect RDMA for bare metal, private and public IP ranges, load balancer services, and VPC support for Layer 2 environments. Up to 100Gbps public internet connectivity per node via Tier 1 providers.
- VFX & Rendering Cloud-based production pipeline for VFX and animation studios featuring GPU and CPU rendering at scale, flexible virtual workstations with NVIDIA Quadro RTX GPUs, and fully managed Deadline render management with US-based render wranglers.
- Machine Learning & AI Scalable cloud infrastructure for AI training, fine-tuning, and serving. Includes distributed training clusters with A100/H100 GPUs using rail-optimized InfiniBand design, direct Kubernetes access for containerized workloads, and ML infrastructure expertise support.
- Inference Service Serverless inference platform with bare-metal Kubernetes performance, proprietary auto-scaling, and 5-second spin-up times. Supports TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX frameworks with KServe serverless deployment.
- Pixel Streaming Real-time interactive streaming infrastructure with 5-second instance spin-up, proprietary auto-scaling, and ultra-low latency. Reduces per-user Pixel Streaming costs by 68% compared to mega-cloud providers with GPU instances starting at $0.24/hr.
- Direct Liquid Cooling (DLC) End-to-end direct liquid cooling solutions from consulting and design through production, construction, and maintenance. Includes CS1200 CDU for GB200 systems with energy-efficient secondary circuit design and easy maintenance features.
Quantifiable outcome
- 68% cost reduction per-user for Pixel Streaming vs mega-cloud providers
- +6 more outcomes
Companies that use Megaspeed
Customer profileNamed customers2 records
Segments4 records
Ideal customer profiles4 records
Megaspeed technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
Feature6 records
Megaspeed partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NVIDIAcoreNCP (NVIDIA Cloud Partner) in Asia-Pacific region and core business partner of NVIDIA's computing power cloud business in APAC. Megaspeed provides privatized, customized computing power product services covering NVIDIA's entire GPU product line including H100, GB200, B200, and A100.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Megaspeed competitors and assessment
Company assessmentDirect peers
- Vultr: Vultr is a global cloud provider offering GPU-accelerated instances, Kubernetes, and bare-metal servers at competitive hourly pricing with no egress fees on certain tiers. Compares to Megaspeed on PLG-style self-serve cloud positioning, transparent pricing, and developer-first Kubernetes stack — though Vultr is broader and not AI-specialized.
- Paperspace (DigitalOcean): Paperspace, now part of DigitalOcean, provides GPU cloud instances and notebooks targeted at AI/ML developers and small teams, with self-serve onboarding and Kubernetes support. Direct peer to Megaspeed's ML/AI inference vertical in target customer (SMB AI developers) and usage-based GPU rental model.
- CoreWeave: CoreWeave is a specialized GPU cloud provider built on Kubernetes, offering NVIDIA H100/GB200 instances for AI training and inference with usage-based pricing. It is the closest US analogue to Megaspeed — same target customer (AI/ML teams), same Kubernetes-native bare-metal architecture, and similar PLG + enterprise GTM motion.
- Lambda Labs: Lambda provides GPU cloud instances (H100, H200, GB200) and GPU workstations for AI training and inference, with on-demand and reserved pricing. Highly comparable to Megaspeed's ML/AI vertical in customer profile (AI startups and researchers) and product (bare-metal GPU clusters).
- Crusoe Energy: Crusoe operates large-scale GPU cloud data centers purpose-built for AI workloads, with NVIDIA H100/GB200 clusters and a focus on hyperscale training. Direct peer: same GPU-as-a-service model, similar enterprise AI customer base, and comparable scale ambitions to Megaspeed's DC2 hyperscale facility.
Emerging players
- Zenlayer: Zenlayer is an edge cloud and GPU infrastructure provider operating data centers across Asia-Pacific, including absorbing the 68.4MW Malaysia capacity reassigned from Megaspeed. Comparable as an APAC-based GPU/cloud peer with similar regional data center footprint ambitions.
- Foundry (Foundry.ai / Vast.ai): Vast.ai operates a marketplace for GPU compute, including H100/A100 instances, targeting AI developers with low-cost on-demand access. Comparable to Megaspeed's bare-metal GPU rental positioning but via a marketplace model rather than owned infrastructure; useful as a price-disciplining peer in the same demand segment.
Broad incumbents
- OVHcloud: OVHcloud is a large European cloud provider offering GPU instances, bare-metal servers, Kubernetes, and Hosted Private Cloud at value pricing. Compares to Megaspeed on cost-competitive positioning and Kubernetes/bare-metal portfolio, though OVHcloud serves a much broader and more generalist customer base.
- Amazon Web Services (EC2 / GPU instances): AWS offers EC2 P-series and G-series GPU instances, EKS managed Kubernetes, and the broadest AI/ML service portfolio globally. The dominant incumbent Megaspeed benchmarks its 68% cost reduction against; relevant as the primary competitive incumbent Megaspeed must displace or undercut in the AI cloud segment.
Regional players
- Tencent Cloud: Tencent Cloud is a major Asia-headquartered hyperscaler offering GPU compute, Kubernetes, and AI services across the region. Compares to Megaspeed on SEA regional positioning and GPU-as-a-service offering, but operates at vastly larger scale and primarily serves China and APAC enterprise/government customers.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Megaspeed financial estimates
Financial estimateRevenue estimate
Valuation estimate
Megaspeed leadership team
Management profileNumber of profiles
Megaspeed subsidiaries and ownership
Company hierarchySubsidiaries1 record
Megaspeed funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Megaspeed M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Megaspeed
What does Megaspeed do?
Megaspeed operates a Kubernetes-native GPU cloud platform delivering bare-metal performance for AI/ML training, inference, VFX rendering, and pixel streaming workloads. The platform offers on-demand NVIDIA GPU compute (H100, GB200, A100), fully managed Kubernetes orchestration, distributed storage, and networking fabric with usage-based pricing and no egress fees. Headquartered in Singapore, it serves enterprise customers across the Asia-Pacific region through both self-serve provisioning and direct enterprise sales.
Is Megaspeed a public or private company?
Megaspeed is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Megaspeed founded?
Megaspeed was founded in -1. It employs 1 to 10 people.
Where is Megaspeed based?
Megaspeed is headquartered in Singapore, Singapore, in the Asia region.
How does Megaspeed make money?
Four revenue lines are on record. GPU Compute Services are the primary driver. The others are kubernetes Services, VFX & Rendering Services and inference Services.
Who are Megaspeed's main competitors?
Direct peers on record are Vultr, Paperspace (DigitalOcean), CoreWeave, Lambda Labs and Crusoe Energy. Emerging players are Zenlayer and Foundry (Foundry.ai / Vast.ai). Broad incumbents are OVHcloud and Amazon Web Services (EC2 / GPU instances). Tencent Cloud is listed as a regional player.
Does Megaspeed have an API?
No public API is recorded for Megaspeed.
What industry is Megaspeed in?
Megaspeed's product category is GPU Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDABAAAB, Managed Container Platforms (Kubernetes & Container PaaS). Its NAICS code is 5182 and its SIC code is 3571.