1× A1024 GB VRAM
France · 30 vCPU · 42 GB RAM · 8 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
a10-45
Full price
€0.76
per hour, whole instance, 1 GPU
NVIDIA · Ampere
Rent A10
NVIDIA A10 Tensor Core GPU, 24 GB.Virtual desktopsRenderinginference small
Full price from
—
in stock, per GPU-hour
Spot from
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in stock, per GPU-hour
Offers in stock
0 of 6
full price or spot
Providers in stock
0 of 1
full price or spot
Offers (6)
View offer
1× A1024 GB VRAM
France · 30 vCPU · 42 GB RAM · 8 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
a10-45
Full price
€0.76
per hour, whole instance, 1 GPU
2× A1024 GB each, 48 GB total
France · 60 vCPU · 85 GB RAM · 16 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
This GPU has no fast GPU-to-GPU link. These are separate cards: good for separate jobs, slow for one model split across them.
a10-90
Full price
€1.52
per hour, whole instance, 2 GPUs
€0.76/h per GPU
2× A1024 GB each, 48 GB total
France · 60 vCPU · 85 GB RAM · 16 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
This GPU has no fast GPU-to-GPU link. These are separate cards: good for separate jobs, slow for one model split across them.
a10-90
Full price
€1.52
per hour, whole instance, 2 GPUs
€0.76/h per GPU
4× A1024 GB each, 96 GB total
France · 120 vCPU · 170 GB RAM · 25 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
This GPU has no fast GPU-to-GPU link. These are separate cards: good for separate jobs, slow for one model split across them.
a10-180
Full price
€3.04
per hour, whole instance, 4 GPUs
€0.76/h per GPU
4× A1024 GB each, 96 GB total
France · 120 vCPU · 170 GB RAM · 25 Gbit/s · 400GB SSD
Details
Stock and price checked 6 min ago.
You start it yourself once there is stock.
This GPU has no fast GPU-to-GPU link. These are separate cards: good for separate jobs, slow for one model split across them.
a10-180
Full price
€3.04
per hour, whole instance, 4 GPUs
€0.76/h per GPU
Price and availability history
Price per GPU-hour
Excluding VAT.
Providers with stock
Each provider counts once. Full price and spot are separate.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Share of offers in stock
Full price. Offers we can't say are really sold there are left out until they've been in stock once.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Units free
No provider reports a number for this GPU.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Stock by provider
In stock, yes or no, for every provider selling this GPU. A filled band means in stock: green at full price, orange as spot.
Not enough history in this range yet. We record every 10 minutes since 9 November 2026.
Using several together
Can't be linked. This GPU has no NVLink, so several in one server only talk over PCIe at up to 64 GB/s. Each card keeps its own 24 GB. That suits running a separate job on each card. Splitting one model across them works, but slowly.
Specifications
No NVLink; host link PCIe Gen4 64 GB/s. Datasheet gives RT and Tensor figures but no CUDA core count or FP64. memoryDataRateGbps is derived (600 GB/s x 8 / 384 bits, matching the 6251 MHz memory clock x 2). fp64Tflops is derived: NVIDIA states GA102 FP64 is 1/64th of FP32 (31.2 / 64).
Memory
- VRAM
- 24 GB
- Memory type
- GDDR6
- Memory bandwidthHow fast the GPU reaches its memory. Often limits LLM speed
- 600 GB/s
- Bus width
- 384 bit
- ECC memoryDetects and corrects memory errors
- Yes
Compute
- FP64Speed at 64-bit precision, used for scientific simulation
- 0.49 TFLOPS
- FP32Speed at 32-bit precision
- 31.2 TFLOPS
- FP16Speed at 16-bit precision
- 250 TFLOPS
- BF1616-bit AI format. Standard for training and full-quality inference
- 250 TFLOPS
- INT88-bit integer speed, used by quantized models
- 500 TOPS
- FP8 support
- No
- FP4 support
- No
- Transformer EngineHardware that speeds up FP8 and FP4
- No
Multi-GPU and connectivity
- NVSwitchLets every GPU in a server talk to every other at full speed
- No
- PCIe generation
- 4
- PCIe lanes
- 16
- PCIe bandwidth
- 64 GB/s
Sharing and security
- MIG partitioningSplits one GPU into several isolated smaller GPUs
- No
- Max MIG instances
- 0
- vGPU
- Yes
- Confidential computing
- No
Hardware
- Architecture
- Ampere
- Launch year
- 2021
- Process node
- Samsung 8N
- Transistors
- 28.3 billion
- Die size
- 628.4 mm²
- Power (TDP)Maximum power draw
- 150 W
- Cooling
- passive
Video
- NVENC engines
- 1
- NVDEC engines
- 2
- AV1 encode
- No
- AV1 decode
- Yes
Sources (40)
- https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a10/pdf/a10-datasheet.pdf
- https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a10/pdf/A10-Product-Brief.pdf
- https://nvidianews.nvidia.com/news/nvidia-sets-ai-inference-records-introduces-a30-and-a10-gpus-for-enterprise-servers
- https://images.nvidia.com/data-center/technical-brief-gpu-positioning-virtualized-compute-and-graphics-workloads.pdf
- https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/
- https://docs.nvidia.com/590trd1-trusted-computing-solutions-release-notes.pdf
- https://images.nvidia.com/aem-dam/en-zz/Solutions/data-center/nvidia-ampere-architecture-whitepaper.pdf
- https://developer.nvidia.com/blog/nvidia-hopper-architecture-in-depth/
- https://developer.nvidia.com/blog/inside-nvidia-blackwell-ultra-the-chip-powering-the-ai-factory-era/
- https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf
- https://developer.nvidia.com/video-encode-decode-support-matrix
- https://docs.nvidia.com/vgpu/gpus-supported-by-vgpu.html
- https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf