1C at maximum speed
Free demo access
Custom server configuration
Servers in Russia and abroad
Turnkey migration and modification of 1C by ML Cloud specialists
Server replication and backup
SPLA licenses
External IP address
Virtual servers
ML150-1C-MINI
6vCPU
Without GPU
8 GB RAM
150 GB SSD NVMe
Windows server 2022 / Windows 10
IPv4/IPv6 networks
(Unlimited, 100 Mb/s)
ML200-1C-STANDART
8vCPU
Without GPU
16 GB RAM
200 GB SSD NVMe
Windows server 2022 / Windows 10
IPv4/IPv6 networks
(Unlimited, 100 Mb/s)
ML350-1C-MAX
16vCPU
Without GPU
32 GB RAM
350 GB SSD NVMe
Windows server 2022 / Windows 10
IPv4/IPv6 networks
(Unlimited, 100 Mb/s)
Dedicated servers with GPU
AMD-R1-1C-MINI
Ryzen R9-5900HX, 3.3 GHz, 8 cores
AMD Radeon Vega 8, 2 GB
16 GB, DDR4
512 GB NvME
IPv4 - 1pcs., IPv6 - 5pcs.
1 Gb/s Unlimited traffic
AMD-R1-1C-STANDART
Ryzen R9-5900HX, 3.3 GHz, 8 cores
AMD Radeon Vega 8, 2 GB
32 GB, DDR4
1 TB NvME
IPv4 - 1pcs., IPv6 - 5pcs.
1 Gb/s Unlimited traffic
AMD-R1-1C-MAX
Ryzen R9-5900HX, 3.3 GHz, 8 cores
AMD Radeon Vega 8, 2 GB
32 GB, DDR4
2 TB NvME
IPv4 - 1pcs., IPv6 - 5pcs.
1 Gb/s Unlimited traffic
Public cloud 1C
Virtual servers in the public cloud ML Cloud
Flexible configuration and ample scalability to suit current business needs for stable and fast operation of 1C
Pre-configured ready-made virtual machine configurations
Possibility to test the performance of the solution for free
Guaranteed Performance

Private cloud 1C
Dedicated computing hardware with a fully fault-tolerant architecture
No minimum period for using the service
Full control, management and distribution of computing resources
Hardware resources are isolated and dedicated to a specific client
Ability to manage and distribute resources (oversubscription management)

Why 1C hosting in ML Cloud is more profitable
Characteristic | Hosting 1C | Own local 1C server |
---|---|---|
Service availability | High | Low |
Risk of information seizure | Low | High |
Technical support 24/7 | Yes | No |
Reliability and security of information | High | Low |
Emergency service shutdown | Possibly | No |
Fault tolerance | High | Low |
Expansion of resources | Dynamic | Slow |
Obsolescence | Not affected | Susceptible |
