DataPacket

What DataPacket actually is

DataPacket is a dedicated-server provider built around one idea: give each machine a genuinely large, genuinely unshared network pipe, and sell it at a flat monthly price with no egress billing. The company operates a private backbone connecting 67 data centre locations on six continents — the world's largest internet-exchange points, per its own map — and publishes an in-stock server count (2,577 at the time of writing) with per-location availability and per-configuration pricing. If you have spent years computing egress bills on hyperscaler invoices, the pitch is almost aggressively legible: unmetered traffic, unshared uplinks, flat monthly rates.

The hardware line is current-generation and narrowly focused. Entry machines run AMD EPYC 4245P processors (6 cores, 12 threads, up to 5.4 GHz boost) from $240 per month; mid-tier options step through EPYC 4464P (12 cores) from $288 and EPYC 4585PX (16 cores, high clock) from $406; larger builds run 32-core EPYC 9355 from $1,281, 48/64-core EPYC 9555 from $1,376, 64-core EPYC 9754 from $1,566, and the 256-core dual EPYC 9754 configuration from $3,020 per month. NVMe storage and DDR5 memory are available across the line, and standard deployment time is quoted at one day for in-stock machines.

The customer list on the marketing pages is not decorative: Discord, bunny.net, Nodecraft, Livepeer, Forward Email and similar network-heavy operators describe using DataPacket exactly for the reason the pricing model suggests — absorbing traffic spikes without a per-gigabyte invoice. When a CDN company and a chat platform say a provider handled their traffic, that is the closest thing to a benchmark this category offers outside of measured testing.

One housekeeping note for our database: this listing carries the internal slug "hydra-solutions" while the product, brand and website are DataPacket (datapacket.com). We review the product as DataPacket and recommend renaming the record.

Pricing: what you really pay

Everything is flat monthly, per server, with unmetered traffic on an unshared uplink. The standard uplink is 50 Gbps (2×25GE) and configurations run up to 200 Gbps, with the vendor's comparison pages quoting guaranteed bandwidth of 10–200 Gbps per server. There is no egress billing, no bandwidth-overage invoice, and no surprise tier change when your traffic graph looks exciting. Client quotes on the site describe the effect plainly: predictable flat monthly rates that do not scale with your success.

The prices above are list rates for preconfigured, in-stock machines and vary somewhat by location; custom configurations are quoted individually. On top of the server, network extras are modest and transparent: one IPv4 address per server is included free, additional IPv4 addresses cost $3 per month or a $100 one-time fee, dedicated IPv4 subnets are assigned on request with custom pricing, and IPv6 addresses are assigned in free /64 blocks. DDoS protection is included with every server via the company's DDoS Shield, rather than sold as a line item.

Is $240 per month for 6 cores good value? Against general-purpose cloud compute, obviously not — that money buys several times the cores elsewhere. That comparison is the wrong one. The product is a network appliance with a CPU attached: 50 Gbps unmetered, unshared bandwidth with flat pricing is the asset, and at the value end of the market, bandwidth like that is simply not for sale. For a workload where transfer volume dominates the bill — video delivery, CDN edges, VPN infrastructure, game traffic, mirror hosting — the arithmetic works quickly in DataPacket's favour; for a small web app sending 200 GB a month, it does not work at all.

Performance & infrastructure

The network is the infrastructure story: a private backbone interconnecting the 67 locations, aggregate capacity quoted at 330+ Tbps, peering at major IX points, and per-server uplinks that are unshared by design. Deployment targets network-intensive operators, and the feature set follows: BGP sessions and custom IP announcements are available for customers who bring their own address space, and the geography spans Europe, North America, Asia-Pacific, Latin America, and the Middle East and Africa.

On the compute side, the current-generation AMD-only lineup with NVMe and DDR5 is about as modern as bare metal gets, and the published CPU Mark figures per configuration (the entry EPYC 4245P lists at 31,135; the 16-core 4585PX at 70,563; the dual 9754 at 130,188) give buyers a third-party reference point rather than vendor adjectives. Provisioning is fast by bare-metal standards — in-stock machines deploy within hours to a day, versus the weeks traditional dedicated hosts quote.

We have not run our own hardware tests against DataPacket's fleet, so we attach no measured numbers of our own; see our benchmark page for what we have actually tested and treat any third-party "reviewed" figures without named plans and dates with care. What the customer evidence suggests is that the network performs under the conditions that matter to network-heavy workloads — traffic spikes, global delivery, sustained throughput — and that support operates through direct channels, with enterprise clients describing Slack-channel access to the engineers responsible.

Support and procurement are closer to enterprise norms than to hyperscaler self-service, and that cuts both ways. Enterprise clients describe direct access to the engineers responsible — Slack channels with the people who run the network rather than a ticket queue — and the site commits to dedicated engineering support from day one for larger deployments. For the tier of customer DataPacket courts, that is the right model: when you are pushing sustained traffic across a backbone, the person who answers the escalation should know the topology. The flip side is that small buyers get the same sales-led motion for anything non-standard. Custom hardware, bringing your own IP space, non-standard uplinks and larger commitments all run through conversation, and the published prices cover the self-service slice of the catalogue only. Before you sign anything, pin down the contract terms that matter for a bandwidth product: what "unmetered" excludes (abuse and DDoS traffic policies differ between hosts), what the network SLA actually promises and what the credit looks like, and what support response times are written down rather than described on a marketing page. DataPacket is a company whose strengths are in what it documents — stock counts, uplink specs, IP pricing — so a contract that documents the support and network terms properly is a reasonable thing to insist on.

Where it falls short

Entry price is the obvious one. $240 per month is a floor that excludes hobby projects, small sites and anything with modest bandwidth needs. If your traffic is measured in hundreds of gigabytes, not terabytes, you are paying for a motorway and driving in first gear.

Second, the product is narrow by design: dedicated servers and bare metal, with the platform services (snapshots, managed backups, object storage, autoscaling groups) that cloud buyers treat as standard simply not part of the offer. This is a provider for people who run their own stack. If you want snapshots and a managed database, this is not your category.

Third, some commercial detail is quote-only. Custom hardware, BYO IP announcements and larger uplink configurations run through sales, which is normal in bare metal but means self-service buyers cannot price every scenario before talking to anyone.

Fourth, the brand-name confusion around this listing reflects a broader small thing: independent documentation, third-party reviews and community content about DataPacket are thinner than for the big clouds, so self-service troubleshooting leans on the company's own support.

Who should pick this

Our pick for network-intensive operators: CDN and edge deployments, video and streaming platforms, VPN and proxy providers, game-traffic hosts, download mirrors, and any SaaS whose egress bill has become the problem. The flat, unmetered, unshared bandwidth model is the reason to be here, and the modern AMD hardware means you are not trading CPU generation for it. Organisations that already run their own infrastructure tooling — config management, monitoring, their own load balancers — will feel at home.

We would skip it for small workloads, bursty experiments, anything needing managed platform services, and teams that want per-second billing and a hyperscaler's service catalog. For those, the cloud providers in our VPS comparison fit better at a fraction of the entry price. And if you are close to the line, price the actual bandwidth: the moment you would pay for 20+ Gbps sustained elsewhere, this model stops being expensive.

Key takeaways

• DataPacket (listed internally as hydra-solutions): dedicated servers and bare metal across 67 data centre locations on six continents, on a private 330+ Tbps backbone.
• Flat monthly pricing with unmetered traffic on unshared uplinks — standard 50 Gbps (2×25GE), configurable to 200 Gbps; no egress billing.
• Preconfigured AMD EPYC servers from $240/mo (6-core 4245P) to $3,020/mo (dual 256-core 9754), NVMe and DDR5, in-stock machines deploy in about a day.
• One IPv4 included free ($3/mo or $100 one-time per extra address); free /64 IPv6 blocks; DDoS Shield included with every server.
• Trusted by network-heavy operators (Discord, bunny.net, Nodecraft, Livepeer) — credible evidence for traffic-spike resilience.
• Our pick when bandwidth volume drives the bill; wrong fit for small workloads or anything needing managed cloud platform services.

Sources

• https://datapacket.com/datacenter
• https://datapacket.com/dedicated-servers
• https://datapacket.com/faq
• https://www.datapacket.com/ddos-protection
• https://datapacket.com/solutions/vpn
• https://datapacket.com/enterprise