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Description
NeevCloud is a full-stack, AI-native SuperCloud engineered for every stage of the AI lifecycle: training, fine-tuning, inference, and production deployment.
GPU AI Services provide instant access to NVIDIA H100, B200, and GB200 NVL72 clusters with no waiting lists. The Model API offers pay-per-token access to open models including Llama 3, Mixtral, Qwen, Stable Diffusion, and more, covering chat, coding, image generation, vision, audio, embeddings, and moderation tasks. The API is OpenAI-compatible, so teams can migrate existing code with minimal changes.
Agentic Studio lets developers build, test, govern, observe, and ship AI agents from a single workspace. Developer Studio adds MCP connectors, CLI, and SDK access for deep platform integration. The IaaS layer includes Cloud Servers, Snapshots, Load Balancers, and Orchestration, all Kubernetes-native.
NeevCloud builds and controls every layer of its infrastructure: GPU superclusters, orchestration software, and the AI application layer. This full-stack ownership eliminates dependency on third-party hyperscalers and delivers strong price-to-performance with zero egress fees, no lock-in, and no hidden charges. On-Demand and Reserved compute options are available, with Reserved delivering meaningful savings for sustained workloads.
S3-compatible object storage for datasets, checkpoints, and model outputs is available through Zata.ai, completing a sovereign AI stack from physical rack to cloud to storage.Whether you are scaling your first model or running enterprise-grade AI systems, NeevCloud provides the performance, control, and transparency to build and scale fearlessly.
The platform serves AI startups, ML engineers, data scientists, BFSI and healthcare enterprises, government programs, and research institution
Description
SF Compute serves as a marketplace platform providing on-demand access to extensive GPU clusters, enabling users to rent high-performance computing resources by the hour without the need for long-term commitments or hefty upfront investments. Users have the flexibility to select either virtual machine nodes or Kubernetes clusters equipped with InfiniBand for rapid data transfer, allowing them to determine the number of GPUs, desired duration, and start time according to their specific requirements. The platform offers adaptable "buy blocks" of computing power; for instance, clients can request a set of 256 NVIDIA H100 GPUs for a three-day period at a predetermined hourly price, or they can adjust their resource allocation depending on their budgetary constraints. When it comes to Kubernetes clusters, deployment is incredibly swift, taking approximately half a second, while virtual machines require around five minutes to become operational. Furthermore, SF Compute includes substantial storage options, featuring over 1.5 TB of NVMe and upwards of 1 TB of RAM, and notably, there are no fees for data transfers in or out, meaning users incur no costs for data movement. The underlying architecture of SF Compute effectively conceals the physical infrastructure, leveraging a real-time spot market and a dynamic scheduling system to optimize resource allocation. This setup not only enhances usability but also maximizes efficiency for users looking to scale their computing needs.
API Access
Has API
No
API Access
Has API
No
Integrations
CUDA
Yes
Jupyter Notebook
Yes
JupyterHub
Yes
Kubernetes
No
Liquid AI
No
NVIDIA virtual GPU
No
Phind
No
PyTorch
Yes
TensorFlow
Yes
Ubuntu
Yes
Integrations
CUDA
No
Jupyter Notebook
No
JupyterHub
No
Kubernetes
Yes
Liquid AI
Yes
NVIDIA virtual GPU
Yes
Phind
Yes
PyTorch
No
TensorFlow
No
Ubuntu
No
Pricing Details
$1.69/GPU/hour
Free Trial
No
Free Version
No
Pricing Details
$1.48 per hour
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NeevCloud
Founded
2020
Country
India
Website
www.neevcloud.com
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
