Autentificare
Meniu
Kingston FURY Renegade Pro Registered Black DDR5-6400 CL32 128GB (4x32GB)
Kingston · ram

Kingston FURY Renegade Pro Registered Black DDR5-6400 CL32 128GB (4x32GB)

128 GB DDR5 · 6400 MT/sfolosit în 4 build-uri publicate

Capacitate
128 GB (4× 32 GB)
Memorie
DDR5
Viteză
6400 MT/s
Latență
CL32
Format
DIMM

Vecinătate

Vecini de top grupați pe relație — click ca să deschizi

Kingston FURY Renegade Pro Registered Black DDR5-6400 CL32 128GB (4x32GB)
Treci peste o piesă ca să vezi ce este — click ca s-o deschizi

Specificații

Date din catalog

Sursa: OpenDB
ECC
Non-ECC
RGB
Nu
Color
BLACK
Speed
6400
Modules · Quantity
4
Modules · Capacity gb
32
Capacity
128 GB
RAM type
DDR5
Registered
Unbuffered
Cas latency
32
Form factor
288-pin DIMM
Heat spreader
Nu

Date de la producător

Sursa: Icecat
ECC
Yes
Depth
133.3 mm
Width
3.8 mm
Height
31.2 mm
Weight
86.8 g
On die ECC
Yes
Cas latency
32
Spd profile
Yes
Cooling type
Heatsink
Lead plating
Gold
Component for
PC/Server
Package depth
167.6 mm
Arată încă 32 de specificații
Package width
104.1 mm
Jedec standard
Yes
Memory ranking
1
Memory voltage
1.4 V
Package height
35.6 mm
Package weight
109.34 g
Product colour
Black
Row cycle time
48 ns
Doesn't contain
Halogen
Internal memory
128 GB
Memory channels
Dual-channel
Row active time
32 ns
Country of origin
China, Taiwan
Memory form factor
288-pin DIMM
Buffered memory type
Registered (buffered)
Internal memory type
DDR5
Module configuration
4096M x 80
Refresh row cycle time
295 ns
Compliance certificates
RoHS
Master (outer) case width
207 mm
Memory data transfer rate
6400 MT/s
Storage temperature (t t)
-55 - 100 °C
Sustainability compliance
Yes
Master (outer) case height
105.4 mm
Master (outer) case length
469.9 mm
Operating temperature (t t)
0 - 95 °C
Memory layout (modules x size)
4 x 32 GB
Programming power voltage (vpp)
1.8 V
Master (outer) case gross weight
1.45 kg
Products per master (outer) case
10 pc(s)
Intel extreme memory profile (xmp)
Yes
Intel extreme memory profile (xmp) version
3.0

Build-uri care o folosesc

4

Servește

AI experimentationModel training / fine-tuning