E2E Cloud review

E2E Cloud is GPU cloud infrastructure for AI training, fine-tuning and inference. According to the company’s homepage, its GPU options include NVIDIA B200, H200 and H100 instances, alongside model deployment, managed training clusters and distributed storage. The homepage says clusters can scale to 1,000 GPUs in 90 seconds; we’d treat that as a vendor claim, not a performance result we verified.

It also sells conventional compute and cloud services, including general-purpose and dedicated virtual machines, object storage, block volumes, backups, networking and CDN. That breadth could let a team assemble more of its workload on one provider, but GPU monthly and annual pricing requires a sales quote, according to the published pricing information. Listed on-demand rates are hourly: $7.99 for a B200, $5.29 for an H200 and $3.99 for an H100. The company lists SOC 2, ISO 27001, ISO 27017, ISO 27018 and PCI DSS compliance.

The main reason to shortlist E2E Cloud is access to current NVIDIA GPU tiers alongside managed infrastructure for training and inference. The homepage lists B200, H200 and H100 hardware, managed training clusters, model deployment and a distributed file system. It also claims scaling to 1,000 GPUs in 90 seconds. That gives buyers a clear set of AI infrastructure options to investigate, though the page does not establish what a particular cluster costs or how quickly a customer can provision it.

There are published hourly GPU prices: $7.99 for B200, $5.29 for H200, $3.99 for H100 and $0.45 for one thread. For a broader setup, the pricing page lists object storage at $10 per month for up to 250 GB, then $0.0375 per GB; E2E Volumes start at $25 per month for 250 GB. The scalable file system starts at $36.14 per month for 250 GB. These figures help price parts of a workload, but GPU monthly and annual plans, volume discounts and enterprise pricing are sales-quoted. The company also lists several security certifications, which may help teams assess compliance fit.

The first catch is that the advertised GPU hourly rates do not tell you the cost of a longer-term or larger deployment. The pricing information says monthly and annual GPU plans, volume discounts and enterprise pricing require a sales quote. There is no free plan listed, and a free trial is not published. Storage and supporting services add separate charges: for example, object storage beyond 250 GB is $0.0375 per GB, while backup storage is $0.0278 per GB per month and its agent license is $10 per month. Some rates exclude GST.

Support risk also deserves attention. In one Reddit thread, customers described a Delhi-region outage after scheduled maintenance, inaccessible servers and consoles, and unanswered support requests. Another thread reported nodes remaining inaccessible for more than two days despite the status dashboard saying services were largely restored. These are user reports, not a measure of typical service. Still, they make backups, recovery access and an exit plan worth checking before moving production workloads. A Reddit commenter also said GPU billing was hard to understand; that is an individual report, but it reinforces the need to confirm line items with sales.

E2E Cloud’s listed entry price is $10/month for Object Storage’s first 250 GB, not for a GPU. GPU pricing is hourly: one thread $0.45, H100 $3.99, H200 $5.29 and B200 $7.99 per GPU-hour. Monthly and annual GPU plans, volume discounts and enterprise rates require a sales quote.

For regular compute, listed starting prices are $32.32/month for E1, $35.64 for C3, $58.64 for M3 and $72.43 for dedicated SDC3. These are not equivalent to GPU capacity. Storage and operations add up: object storage is $0.0375/GB beyond 250 GB; backup adds a $10/month agent license plus $0.0278/GB/month; snapshots are $0.05/GB/month. Object storage and backup rates exclude GST where specified. The pricing page publishes annual rates for some products, but not GPU monthly or annual totals. Get a quote for the full setup rather than treating hourly GPU rates as a monthly commitment.

Treat a move as a workload-and-data migration, not simply a VM change. E2E lists GPU instances, managed training clusters, inference and distributed storage, but the published materials do not document migration tooling, import formats, export procedures or a migration service. Its object storage is S3-compatible, which may help with object-based workflows; confirm transfer steps and fees before committing. The pricing material lists Object Storage data transfer at $0.045/GB, excluding GST where specified, but does not clarify how that rate applies to every export scenario.

Before switching, inventory GPU models, storage, backups, network dependencies and inference endpoints. Keep an independent backup; our verdict cautions against production workloads without one. Compare a full workload quote, since GPU monthly and annual pricing and volume discounts require a sales quote. The published material contains no Reddit posts or comments, so we can’t substantiate a pattern of users leaving E2E Cloud or a Reddit-reported reason. Export procedures and support terms are not published on the vendor's site.