What is the difference between AceCloud and Fireworks AI?

AceCloud and Fireworks AI are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: AceCloud or Fireworks AI?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between AceCloud and Fireworks AI?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

AceCloud vs Fireworks AI GPU Cloud Pricing 2026

GPU Pricing Comparison

No GPU pricing data available for comparison between AceCloud and Fireworks AI.

Features Comparison

AceCloud

NVIDIA GPU Cloud
On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, and RTX PRO 6000 for AI training, inference, GenAI, rendering, VFX, HPC, and data analytics
Transparent GPU Pricing
Published GPU instance pricing with monthly plans, longer-term commitment savings, and pay-as-you-go options with no hidden charges
Managed Kubernetes and GPU Clusters
Managed Kubernetes with GPU node groups, autoscaling clusters, NVIDIA GPU Operator support, managed control plane, custom node pools, observability, and built-in security
Cloud Compute
Cloud compute on AMD EPYC and Intel Xeon processors with NVMe storage, one-click deployments, autoscaling, backups, and scalable VM resources
Storage, Databases, and Networking
Cloud storage, S3-compatible object storage, block storage, managed databases, VPC networking, load balancers, floating IPs, firewall/security groups, DDoS protection, and private networking
Enterprise Security and Compliance
ISO-certified environments, data sovereignty, VPC isolation, multi-zone redundancy, and a 99.99% uptime SLA

Fireworks AI

100+ Open-Source Models
Instant access to latest models like Kimi K2.5, DeepSeek V3.2, GLM-5.1, Qwen3.6 Plus, FLUX.1 Kontext Pro, Whisper V3 Large, and more
Blazing Fast Inference
Industry-leading throughput and latency with fast inference engine
Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters with LoRA efficiency
OpenAI-Compatible API
Drop-in replacement - just change the base URL for easy migration
On-Demand GPUs
H100, H200, B200, and B300 deployments with per-second billing and autoscaling
Batch Processing
50% discount for async bulk inference workloads

Pros & Cons

AceCloud

Advantages

Broad NVIDIA GPU portfolio for AI, inference, HPC, rendering, and GenAI workloads
India-first GPU availability with INR billing
Transparent pricing with no hidden charges and pay-as-you-go or monthly options
Managed Kubernetes and GPU clusters with GPU Operator support and autoscaling

Considerations

Limited data center presence outside India and the USA
Newer player in the global cloud market
Primarily focused on the Indian market

Fireworks AI

Advantages

Lightning-fast inference with industry-leading response times
Easy-to-use API with excellent OpenAI compatibility
Wide variety of optimized open-source models
Competitive pricing with 50% off cached tokens and batch processing

Considerations

Limited capacity with some serverless model limits
Primarily focused on language models over image/video generation
BYOC only available for major enterprise customers

Compute Services

AceCloud

NVIDIA GPU Instances

GPU cloud servers for AI training, inference, GenAI, HPC, rendering, VFX, and video processing

GPU Kubernetes Clusters

Managed Kubernetes GPU clusters with autoscaling, GPU Operator support, managed control plane, observability, and high availability

Autoscaling GPU node groups
NVIDIA GPU Operator support

Cloud Compute Instances

CPU, RAM, standard, and GPU-powered virtual machines with AMD/Intel processors and NVMe storage

AMD EPYC and Intel Xeon processors
NVMe storage

Fireworks AI

Pricing Options

AceCloud

Pay-as-you-go

Hourly usage-based pricing for GPU and compute instances

Monthly Plans

Monthly pricing for GPU instances

Longer-term Commitments

Savings for longer-term commitments on GPU and compute resources

Spot Instances

Lower-cost capacity for flexible or fault-tolerant workloads

Fireworks AI

Serverless Inference

Pay-per-token pricing with parameter-based tiers from $0.10 to $0.90 per 1M tokens, plus premium models

Cached tokens

50% discount on cached input tokens for supported models

Batch processing

50% discount on async bulk inference for both input and output tokens

Fine Tuning

Per-training-token pricing for SFT, DPO, and reinforcement learning with LoRA and full parameter options

On-demand GPUs

Per-second billing for H100, H200, B200, and B300 GPU deployments with no startup charges

Getting Started

AceCloud

Get Started

1
Create an account
Sign up for an AceCloud account, optionally starting with free credits
2
Choose a service
Select a GPU, compute, Kubernetes, storage, database, or networking service
3
Configure the instance
Choose region, operating system/image, instance flavor, storage, network, and security settings
4
Launch
Launch the instance or cluster from the AceCloud console
5
Manage workloads
Monitor, resize, back up, scale, or manage workloads from the dashboard

Fireworks AI

Get Started

1
Explore Model Library
Browse 400+ models at fireworks.ai/models
2
Test in Playground
Experiment with prompts interactively without coding
3
Generate API Key
Create an API key from user settings in your account
4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
5
Scale to production
Transition to on-demand GPU deployments for production workloads

Support & Global Availability

AceCloud

Global Regions

India-first infrastructure with data centers in India (Mumbai, Noida) and the USA. GPU pricing is shown for the Noida (INR) data center.

Support

24/7 human support with cloud experts, migration assistance, sales and support contacts, documentation, knowledge base, and consultation options.

Fireworks AI

Global Regions

18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise

Support

Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs