Massed Compute vs Vultr
A detailed comparison to help you choose between Massed Compute and Vultr.
Quick Verdict
3.3/5
Massed Compute
0 reviews
4.0/5
Vultr
0 reviews
Vultr is rated higher (4.0 vs 3.3). Massed Compute is a US-based GPU cloud provider (Massed Compute, Inc., Las Vegas, founded 2021) offering on-demand NVIDIA GPUs from entry RTX/A30 cards to H100, H200, B200 and B300 nodes, plus bare metal and InfiniBand clusters. GDPR DPA published, but infrastructure is US-based. Vultr is a cloud platform offering VPS, bare metal servers, and Kubernetes hosting across 32 data centers worldwide. Built for developers and businesses needing scalable, reliable compute resources with transparent billing.
Massed Compute On-demand GPU compute with transparent pricing and no long-term commitments | Vultr High-performance cloud infrastructure with global data centers and competitive pricing | |
|---|---|---|
| Overview | ||
| Rating | 3.3 (0 reviews) | 4.0 (0 reviews)✓ |
| Pricing model | usage-based | paid |
| Starting price | From $0.55/mo✓ | From $2.5/mo |
| Best for | ML engineers, researchers, and rendering teams needing burst GPU access by the hour — fine-tuning, batch inference, evaluation sweeps, render deadlines — without contracts | Teams needing low-latency compute across multiple continents, API-first fleets, and self-serve GPU or bare metal with predictable billing |
| Specifications (entry plan) | ||
| CPU cores | — | 1 vCPU |
| RAM | — | 1 GB |
| Storage | — | 10 GB |
| Bandwidth | — | 1 TB/mo |
| SLA uptime | — | 100% |
| Data-center count | — | 34 |
| €/vCPU/mo | — | €2.50 |
| €/GB RAM/mo | — | €2.50 |
| Performance | ||
| CPU score (sysbench) | — | 4,100 |
| Disk read (fio) | — | 1,800 MB/s |
| Disk IOPS (4K random) | — | 38,000 |
| Network out | — | 1 Gbps |
| Latency (TTFB) | — | 24 ms |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | — | 34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page) |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenter | hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available |
| Visit Massed Compute → | Visit Vultr → | |
Massed Compute
Pros
- + Competitive published hourly GPU pricing (entry RTX A6000 from $0.55/hr, H100 from $2.73/hr) with no bandwidth charges
- + Broad NVIDIA catalog from entry cards to B300, 8-GPU NVLink nodes, and InfiniBand clusters (8–512+ nodes)
- + Owns and operates its infrastructure — no marketplace markup; NVIDIA Preferred Partner
- + No long-term commitments; bare metal and custom clusters available for larger workloads
Cons
- - Young company (2021) with US-only footprint and no published uptime SLA
- - DB/listing confusion around identity: it is a US company, not UK, with no UK/EU data residency
- - Top-end Blackwell and H200 configs frequently show as sold out on aggregator pages
- - Third-party directories disagree on HQ and datacenter count; ops transparency beyond pricing is thin
Vultr
Pros
- + Truly global: 34 regions on six continents from one console, one API, one price list - with per-region test IPs published
- + Fully published hourly and monthly pricing from $2.50/mo, mature REST API and Terraform provider
- + 100% network and host-node uptime SLA with credits; standardized platform behavior across every region
- + Broad self-serve catalog: NVMe optimized VMs, NVIDIA/AMD GPUs, bare metal, managed databases/Kafka, S3-compatible object storage, VKE
Cons
- - Price-performance trails European leaders: our measured HF 2GB (Amsterdam) had the slowest NVMe storage of six tested providers at a mid-range price
- - Backups cost 20% of instance price, snapshots bill per GB, Windows and extra egress are add-ons
- - No refunds in the terms of service; support is ticket-only for self-serve customers
- - Overlapping instance families (Cloud Compute, VX1, Optimized) make it easy to pick a stale SKU; region count differs across Vultr's own pages (32/33/34)
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