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>AI Tools>Massedcompute
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Massedcompute.Com: Cloud-Based GPUs for High-Performance Computing

Accelerate AI development with Massed Compute's cloud-based GPUs. Train models faster & analyze data efficiently with scalable, flexible HPC solutions.

Paid
4.4
out of 5
Visit Website340.5K

340.5K

Similarweb

Massedcompute screenshot

Best for

Cybersecurity & Detection
Data Scientist
Automation Engineer

Useful as

AI Web Design Tools

Platforms

Web Apps
Updated on Dec 18, 2025 (3 months ago)

AI Agents Take Charge: Unleash Their Potential with Massedcompute.Com

AI agents, the future of intelligent automation, need powerful resources to learn, adapt, and perform at their best. Enter Massedcompute.Com, a cloud-based platform providing high-performance GPU infrastructure specifically designed to fuel the development and deployment of AI agents. This platform empowers users to quickly deploy scalable GPU instances tailored to their unique AI agent needs, enabling rapid model training, efficient data analysis, and accelerated learning cycles. With flexible and affordable HPC plans, Massedcompute.Com removes financial barriers and allows users to scale their resources as their AI agent projects evolve. Whether you're developing cutting-edge conversational AI, autonomous systems, or predictive analytics models, Massedcompute.Com provides the necessary firepower to bring your AI agents to life.

Pricing

Pricing Model

SubscriptionPay-As-You-Go (PAYG)Custom Pricing

Pricing Plans

H100 SXM5 (8 GPUs)

Quantity: 8, vRAM per GPU: 80 GB, vCPU: 126, RAM: 1500 GB, Storage: 10000 GB

$ 21.6

hour

H100 NVL (2 GPUs)

Quantity: 2, vRAM per GPU: 94 GB, vCPU: 40, RAM: 256 GB, Storage: 2500 GB

$ 5.06

hour

H100 NVL (4 GPUs)

Quantity: 4, vRAM per GPU: 94 GB, vCPU: 80, RAM: 512 GB, Storage: 5000 GB

$ 10.12

hour

H100 NVL (8 GPUs)

Quantity: 8, vRAM per GPU: 94 GB, vCPU: 140, RAM: 1500 GB, Storage: 10000 GB

$ 20.24

hour

H100 PCIe (1 GPU)

Quantity: 1, vRAM per GPU: 80 GB, vCPU: 20, RAM: 128 GB, Storage: 1250 GB

$ 2.35

hour

H100 PCIe (2 GPUs)

Quantity: 2, vRAM per GPU: 80 GB, vCPU: 40, RAM: 256 GB, Storage: 2500 GB

$ 4.7

hour

H100 PCIe (4 GPUs)

Quantity: 4, vRAM per GPU: 80 GB, vCPU: 64, RAM: 512 GB, Storage: 5000 GB

$ 9.4

hour

H100 PCIe (8 GPUs)

Quantity: 8, vRAM per GPU: 80 GB, vCPU: —, RAM: —, Storage: —

---

hour

DGX A100 (1 GPU)

Quantity: 1, vRAM per GPU: 80 GB, vCPU: 16, RAM: 160 GB, Storage: 1000 GB

$ 1.23

hour

DGX A100 (8 GPUs)

Quantity: 8, vRAM per GPU: 80 GB, vCPU: 120, RAM: 1896 GB, Storage: 9000 GB

$ 9.84

hour

A100 SXM4 (1 GPU)

Quantity: 1, vRAM per GPU: 80 GB, vCPU: 14, RAM: 160 GB, Storage: 1000 GB

$ 1.23

hour

A100 SXM4 (8 GPUs)

Quantity: 8, vRAM per GPU: 80 GB, vCPU: 126, RAM: 1500 GB, Storage: 10000 GB

$ 9.84

hour

A100 PCIe (1 GPU)

Quantity: 1, vRAM per GPU: 80 GB, vCPU: 16, RAM: 96 GB, Storage: 512 GB

$ 1.2

hour

A100 PCIe (2 GPUs)

Quantity: 2, vRAM per GPU: 80 GB, vCPU: 30, RAM: 150 GB, Storage: 1024 GB

$ 2.4

hour

A100 PCIe (4 GPUs)

Quantity: 4, vRAM per GPU: 80 GB, vCPU: 60, RAM: 300 GB, Storage: 2048 GB

$ 4.8

hour

A100 PCIe (8 GPUs)

Quantity: 8, vRAM per GPU: 80 GB, vCPU: 120, RAM: 768 GB, Storage: 4096 GB

$ 9.6

hour

L40S PCIe (1 GPU)

Quantity: 1, vRAM per GPU: 48 GB, vCPU: 12, RAM: 128 GB, Storage: 625 GB

$ 0.86

hour

L40S PCIe (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 24, RAM: 256 GB, Storage: 1250 GB

$ 1.72

hour

L40S PCIe (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 46, RAM: 512 GB, Storage: 2500 GB

$ 3.44

hour

L40S PCIe (8 GPUs)

Quantity: 8, vRAM per GPU: 48 GB, vCPU: 94, RAM: 768 GB, Storage: 5000 GB

$ 6.88

hour

L40 PCIe (1 GPU)

Quantity: 1, vRAM per GPU: 48 GB, vCPU: 14, RAM: 128 GB, Storage: 625 GB

$ 0.95

hour

L40 PCIe (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 26, RAM: 256 GB, Storage: 1250 GB

$ 1.9

hour

L40 PCIe (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 50, RAM: 512 GB, Storage: 2500 GB

$ 3.8

hour

RTX 6000 ADA (1 GPU)

Quantity: 1, vRAM per GPU: 48 GB, vCPU: 12, RAM: 80 GB, Storage: 350 GB

$ 0.75

hour

RTX 6000 ADA (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 26, RAM: 160 GB, Storage: 700 GB

$ 1.5

hour

RTX 6000 ADA (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 52, RAM: 320 GB, Storage: 1400 GB

$ 3

hour

RTX 6000 ADA (8 GPUs)

Quantity: 8, vRAM per GPU: 48 GB, vCPU: 104, RAM: 640 GB, Storage: 2800 GB

$ 6

hour

RTX A6000 (1 GPU)

Quantity: 1, vRAM per GPU: 48 GB, vCPU: 6, RAM: 48 GB, Storage: 256 GB

$ 0.54

hour

RTX A6000 (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 14, RAM: 96 GB, Storage: 512 GB

$ 1.08

hour

RTX A6000 (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 30, RAM: 192 GB, Storage: 1024 GB

$ 2.16

hour

RTX A6000 (8 GPUs)

Quantity: 8, vRAM per GPU: 48 GB, vCPU: 62, RAM: 384 GB, Storage: 2048 GB

$ 4.32

hour

RTX A6000 [NVLink] (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 14, RAM: 96 GB, Storage: 512 GB

$ 1.18

hour

RTX A6000 [NVLink] (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 30, RAM: 192 GB, Storage: 1024 GB

$ 2.36

hour

RTX A6000 [NVLink] (8 GPUs)

Quantity: 8, vRAM per GPU: 48 GB, vCPU: 62, RAM: 384 GB, Storage: 2048 GB

$ 4.72

hour

A40 (1 GPU)

Quantity: 1, vRAM per GPU: 48 GB, vCPU: 10, RAM: 32 GB, Storage: 256 GB

$ 0.51

hour

A40 (2 GPUs)

Quantity: 2, vRAM per GPU: 48 GB, vCPU: 20, RAM: 64 GB, Storage: 512 GB

$ 1.01

hour

A40 (4 GPUs)

Quantity: 4, vRAM per GPU: 48 GB, vCPU: 40, RAM: 128 GB, Storage: 1024 GB

$ 2.02

hour

A40 (8 GPUs)

Quantity: 8, vRAM per GPU: 48 GB, vCPU: 62, RAM: 256 GB, Storage: 1024 GB

$ 4.05

hour

RTX A5000 (1 GPU)

Quantity: 1, vRAM per GPU: 24 GB, vCPU: 10, RAM: 32 GB, Storage: 256 GB

$ 0.41

hour

RTX A5000 (2 GPUs)

Quantity: 2, vRAM per GPU: 24 GB, vCPU: 20, RAM: 64 GB, Storage: 512 GB

$ 0.82

hour

RTX A5000 (4 GPUs)

Quantity: 4, vRAM per GPU: 24 GB, vCPU: 40, RAM: 128 GB, Storage: 1024 GB

$ 1.64

hour

RTX A5000 (8 GPUs)

Quantity: 8, vRAM per GPU: 24 GB, vCPU: 62, RAM: 256 GB, Storage: 1024 GB

$ 3.28

hour

A30 (1 GPU)

Quantity: 1, vRAM per GPU: 24 GB, vCPU: 16, RAM: 48 GB, Storage: 256 GB

$ 0.25

hour

A30 (2 GPUs)

Quantity: 2, vRAM per GPU: 24 GB, vCPU: 30, RAM: 96 GB, Storage: 512 GB

$ 0.5

hour

A30 (4 GPUs)

Quantity: 4, vRAM per GPU: 24 GB, vCPU: 50, RAM: 192 GB, Storage: 1024 GB

$ 1

hour

A30 (8 GPUs)

Quantity: 8, vRAM per GPU: 24 GB, vCPU: 94, RAM: 384 GB, Storage: 2048 GB

$ 2

hour

Reference

Related Topics

#machine learning#ai in data analysis#ai data#ai in cybersecurity#ai for analysis

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Maker
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Publish DateJan 12, 2023
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Massedcompute
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