Mid-range RDNA 3 consumer GPU for local AI inference and gaming.
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
One Radeon RX 7800 XT has 16 GB of VRAM. In practice, that's enough memory for roughly 8B parameters at 4-bit or 2B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | Radeon RX 7800 XTs needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
19 GB
|
2
|
–
|
–
|
Gemma 4 31B
30.7B
|
24 GB
|
2
|
–
|
–
|
GPT-OSS-120B
117B · 5.1B active
|
68 GB
|
5
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
13
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
241 GB
|
17
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
22
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,545 GB
|
108
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP16/BF16 KV cache at 32K context per request. GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
AMD Radeon RX 7800 XT · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 74.6 TFLOPS |
| INT8 | 74.6 TOPS |
| FP32 | 37.3 TFLOPS |
| Precision support | FP16BF16FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 16 GB GDDR6 |
| Bandwidth | 624 GB/s |
| Bus width | 256-bit |
| Silicon | |
|---|---|
| Architecture | RDNA 3 |
| Transistors | 28.1 billion |
| Shader cores | 3,840 Stream processors |
| Matrix cores | 120 |
| Compute units | 60 |
| Power | |
|---|---|
| Board power | 263 W |
The cheapest verified in-stock estimate is $94 per month on-demand, $29 spot.
GetDeploying currently tracks Radeon RX 7800 XT configs from 1 provider. Salad has verified in-stock on-demand configs. See the full price comparison above for every provider and config.
One Radeon RX 7800 XT runs models up to roughly 8B parameters at 4-bit quantization or 2B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
16GB at 624 GB/s on RDNA 3, enough for a 7B model at 8-bit with room for context or a 13B model at 4-bit. AMD lists it as supported by ROCm on Linux.
No FP8 or structured sparsity, and 74.6 TFLOPS dense FP16 limits throughput for batched inference or fine-tuning. Where a framework needs CUDA, the RTX 4070 Ti Super is a 16GB consumer alternative. The ROCm software ecosystem, while rapidly improving, is narrower than CUDA.
AMD Radeon RX 9060 XT
16 GB GDDR6 · 49% less bandwidth than the Radeon RX 7800 XT
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