datacrunch A6000 by Shadeform
Bandwidth testing are conducted with local and block storages attached to the instance. We use the well-known open-source tool FIO. To express bandwidth the following parameters are used:
- 1M block
- Sequential access
- No filesystem (except for write access with root volume)
- Avoidance of cache and buffer
Specifications:
CPU
10
RAM
60.0 GB
GPU
1
NVIDIA A6000
Root
250 GB
1A6000.10V Volume
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- In same series
- massedcompute A6000_base
- imwt A6000
- massedcompute A6000
- valdi A6000
- valdi A6000_alt
- paperspace A6000
- datacrunch A6000
- massedcompute A6000_plus
- valdi A6000x2
- massedcompute A6000_basex2
- imwt A6000x2
- massedcompute A6000x2
- lambdalabs A6000
- hyperstack A6000
- oblivus A6000
- valdi A6000_altx2
- paperspace A6000x2
- datacrunch A6000x2
- valdi A6000x4
- lambdalabs A6000x2
- massedcompute A6000_basex4
- massedcompute A6000_plusx2
- imwt A6000x4
- massedcompute A6000x4
- hyperstack A6000x2
- oblivus A6000x2
- valdi A6000_altx4
- paperspace A6000x4
- datacrunch A6000x4
- massedcompute A6000_plusx4
- lambdalabs A6000x4
- massedcompute A6000_basex8
- imwt A6000x8
- massedcompute A6000x8
- hyperstack A6000x4
- oblivus A6000x4
- valdi A6000_altx8
- datacrunch A6000x8
- massedcompute A6000_plusx8
- hyperstack A6000x8
- oblivus A6000x8